phd economics at mit

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• Prof. Alexander Wolitzky

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• Microeconomics

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Microeconomic theory i, course description.

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Students must complete their primary program’s degree requirements along with the IDPS requirements. Statistics requirements  must not unreasonably impact performance or progress in a student’s primary degree program.

The Economics program allows students to replace required courses in Probability and Statistics with more advanced courses by petition.

Special note about integrating IDPS requirements and Economics requirements:

The Doctoral Program in Economics requires students to complete two majors and two minors. IDPS requires one of these major fields to be Econometrics. The IDPS requirement for Computation & Statistics may be used to satisfy one of the minor field requirements in the Doctoral Program in Economics as long as the student’s other minor field is in Economics, and is not a research or ad-hoc minor.

PhD Earned on Completion: Economics and Statistics

IDPS/Economics Chair :  Victor Chernozhukov

*Advanced Research and Communication – 14.192 – no longer requires a focus on Data Analysis. Students pursuing the IDPS will need to keep this focus on Data Analysis to successfully meet IDPS requirements.  The IDPS/Economics Chair will verify that admitted students submit a paper that satisfies the IDPS requirements.

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Department of Economics

Economics is a broad field that aims to understand why the world works as it does and how government and other interventions might affect well-being. The field is diverse methodologically, encompassing mathematical modeling, data science, and randomized trials as appropriate. It interacts both with other social sciences, as with political science and psychology in the attempt to better understand government and individual behavior, and with the sciences, as with statistics and computer science in developing data analysis techniques.

Economics studies decision-making at the individual level and the aggregate outcomes that result when individuals, firms, institutions and governments interact. It remains concerned with classic topics, such as the causes of business cycles, the effects of industry regulations, and the consequences of tax policies, but also focuses on the diverse social challenges of the developed and developing world: poverty, education, health, the environment, and inequality.  

The Department of Economics offers subjects at multiple levels in the three core areas of the discipline—microeconomic theory, macroeconomics, and econometrics—and specialized subjects in many applied fields, including development economics, environmental economics, health economics, industrial organization, international trade, labor economics, political economy, and public finance.

The department offers several undergraduate programs that prepare students for careers in business, finance, consulting, law and public policy, and for further study. Its doctoral program is frequently ranked as the best in the world.

Bachelor of Science in Economics (Course 14-1)

Bachelor of science in mathematical economics (course 14-2), bachelor of science in computer science, economics, and data science (course 6-14), minor in economics, undergraduate study.

Course 14-1, leading to the Bachelor of Science in Economics , provides students with a breadth and depth of training in economics that is unusual at the undergraduate level. It combines training in technical economics with in-depth exploration of students’ areas of interest. Students choose from a diverse set of upper-level undergraduate subjects and are encouraged to engage in independent research.

The aims of the SB in Economics degree program are threefold: to give students a firm grounding in economic theory and data analysis, to develop in-depth knowledge of particular economic issues, and to develop students’ capabilities for independent research. These aims correspond roughly to the requirements in the Course 14-1 program of theory, statistics and econometrics, electives, and research.

The requirements allow substantial freedom for students in designing individual programs within economics and in balancing the program with subjects in other disciplines. The ample elective slots let students apply their technical skills to develop a deep understanding of whatever interests them, whether that is poverty in developing countries, international trade, game theory, for example. The department recommends that students interested in graduate work in economics build their technical skills with additional subjects in mathematics and computer science. Students can also complement their studies in the major with subjects in political science, history, and other social sciences.

The major is sufficiently flexible that students can transfer into the major or add it as a second major without having taken courses beyond 14.01 Principles of Microeconomics and 14.02 Principles of Macroeconomics in the first two years.  Students typically complete an intermediate micro subject,  14.05 Intermediate Macroeconomics , 14.30 Introduction to Statistical Methods in Economics , and 14.32 Econometric Data Science by the third year. This satisfies the prerequisites for all subjects (including 14.33 Research and Communication in Economics: Topics, Methods, and Implementation ) and prepares students for research on their thesis and in other elective subjects.

The SB in Mathematical Economics is designed for students who desire a deeper mathematical foundation and allows them to concentrate in a subset of economics topics. This program is well suited to students interested in mathematical microeconomic theory or econometrics.  Students will gain the strong mathematical and theoretical preparation needed for subsequent graduate study in economics.

Students majoring in Mathematical Economics start with the same introductory micro and macro courses as 14-1 majors. They go on to take a program that includes rigorous mathematical training in microeconomic theory and econometrics, and substantial coursework in mathematics, including 18.100x Real Analysis, a choice between 18.06 Linear Algebra or 18.03 Differential Equations , and at least one mathematics seminar.

The Department of Electrical Engineering and Computer Science and the Department of Economics offer a joint curriculum leading to a  Bachelor of Science in Computer Science, Economics and Data Science (Course 6-14) . The interdisciplinary major provides  students a  portfolio  of  skills in economics,  computing,  and  data  science that are increasingly valued in both the business world and academia.   The economics and computer science disciplines have a substantial overlap both in their reliance on game theory and mathematical modeling techniques and their use of data analytics.   The economics side of the program includes subjects in microeconomic theory and econometrics and electives that expose students to how economists in various fields use mathematical models and statistical evidence to think about problems.   The computer science side includes a number of subjects that develop complementary knowledge, including the study of algorithms, optimization, and machine learning (which is increasingly integrated with econometrics).   The program also includes coursework in several mathematical subjects, including linear algebra, probability, discrete mathematics, and statistics, which can be taken in various departments.  

The Course 6-14 major is also well suited to students whose primary interest is in game theory and mathematical modeling.   It can prepare students for graduate study in either discipline.

The objective of the minor is to extend the understanding of economic issues beyond the level of the concentration. This is done through specialized analytical subjects and elective subjects that provide an extensive treatment of economic issues in particular areas.

The Minor in Economics consists of six subjects arranged into three levels of study:

For more information regarding admissions or financial aid , contact Julia Martyn-Shah, 617-253-8787. For undergraduate admissions and academic programs , contact Gary King, 617-253-0951. For any other information, contact Megan Miller,  617-253-3807.

Master of Science in Economics

Master of applied science in data, economics, and design of policy, master of engineering in computer science, economics, and data science.

Doctor of Philosophy in Economics

Graduate Study

Admission requirements for graduate study.

The Department of Economics specifies the following prerequisites for graduate study in economics: one full year of college mathematics and an appreciable number of professional subjects in economics for those qualified students who have majored in fields other than economics. Applicants for admission who have deficiencies in entrance requirements should consult with the department about programs to remedy such deficits.

In unusual circumstances, admission may be granted to current MIT students seeking the Master of Science degree. The general requirements for the SM are given in the section on Graduate Education.

The Master of Applied Science in Data, Economics, and Design of Policy is an intensive program consisting of a series of nine subjects plus a capstone experience (a summer internship and a corresponding project report). Students gain a strong foundation in microeconomics, development economics, probability, and statistics; engage with cutting-edge research; and develop practical skills in data analysis and the evaluation of social programs. Student choose between two tracks: International Development (focused on low- and middle-income contexts) and Public Policy (focused on high-income contexts). Only students who have successfully completed the MITx MicroMasters credential in Data, Economics, and Design of Policy in the corresponding track are eligible to apply to the on-campus master’s program.

Email for more information or visit the website .

The Department of Electrical Engineering and Computer Science and the Department of Economics offer a joint curriculum leading to a Master of Engineering in Computer Science, Economics, and Data Science . Computer science and data science provide tools for problem solving, and economics applies those tools to domains where there is rapidly growing intellectual, scholarly, and commercial interest, such as online markets, crowdsourcing platforms, spectrum auctions, financial platforms, crypto currencies, and large-scale matching/allocation systems such as kidney donation and public school choice systems. This joint program prepares students for jobs in economics, management consulting, and finance. Students in the program are full members of both departments, with a single advisor chosen from EECS or Economics based on interests of the student as well as the advisor's interest and expertise in the 6-14 area.

The Master's of Engineering in Computer Science, Economics, and Data Science (Course 6-14P) builds on the foundation provided by the Bachelor of Science in Computer Science, Economics, and Data Science (Course 6-14) to provide both advanced classwork and master's-level thesis work. The student selects (with departmental review and approval) 42 units of advanced graduate subjects, which include two subjects in economics and two subjects in electrical engineering and computer science. A further 24 units of electives are chosen from a restricted departmental list of math electives.

The Master of Engineering degree also requires 24 units of thesis credit. While a student may register for more than this number of thesis units, only 24 units count toward the degree requirement.

Programs leading to the five-year Master of Engineering degree or to the four-year Bachelor of Science degree can be arranged to be identical through the junior year. At the end of the junior year, students with a strong academic record will be offered the opportunity to continue through the five-year master's program. A student in the Master of Engineering program must be registered as a graduate student for at least one regular (non-summer) term. To remain in the program and to receive the Master of Engineering degree, students will be expected to maintain a strong academic record. Admission to the Master of Engineering program is open only to undergraduate students who have completed their junior year in the Course 6-14 Bachelor of Science program.

Financial Support

The fifth year of study toward the Master of Engineering degree can be supported by a combination of personal funds, a fellowship, or a graduate assistantship. Assistantships require participation in research or teaching in the department or in one of the associated laboratories. Full-time assistants may register for no more than two scheduled classroom or laboratory subjects during the term, but may receive academic credit for their participation in the teaching or research program. Support through an assistantship may extend the period required to complete the Master of Engineering program by an additional term or two. Support is granted competitively to graduate students and will not be available for all of those admitted to the Master of Engineering program. If provided, department support for Master of Engineering candidates is normally limited to the first three terms as a graduate student unless the Master of Engineering thesis has been completed, the student has served as a teaching assistant, or the student has been admitted to the doctoral program, in which cases a fourth term of support may be permitted.

For additional information regarding teaching and research programs, contact the EECS Undergraduate Office, Room 38-476, 617-253-4654, or visit the department's website .

Doctor of Philosophy

The Department of Economics offers a Doctor of Philosophy (PhD) in Economics . Students in the doctoral program complete a course of study involving a series of required core subjects in microeconomic theory, macroeconomics, and econometrics; coursework (with a grade of B or better) in two major and two minor fields of study from among those offered by the department; a research paper; and a thesis. The coursework and research paper, completed in the program's first two years, culminate in a general examination. The four fields of study are chosen from advanced economic theory; computation and statistics (minor field only); econometrics; economic development; finance; industrial organization; international economics; labor economics; monetary economics; organizational economics; political economy; and public economics.

Following successful completion of the general examination requirement, the student forms a thesis committee of two or three faculty members. The thesis must meet high professional standards and make a significant original contribution to the student’s chosen research area. The thesis must be approved by the thesis committee and then by an independent faculty member in the department selected by the chair of the Graduate Committee. Upon successful completion of the program, students are awarded the PhD in economics.

There is no required minimum number of graduate subjects in the department. Students must be in residence for a minimum of two years. However, candidates ordinarily need two full academic years of study to complete the core and field of study requirements, and the doctoral thesis typically requires three to four years of additional research effort.

Interdisciplinary Program

Economics and statistics.

The Interdisciplinary Doctoral Program in Statistics provides training in statistics, including classical statistics and probability as well as computation and data analysis, to students who wish to integrate these valuable skills into their primary academic program. The program is administered jointly by the departments of Aeronautics and Astronautics, Economics, Mathematics, Mechanical Engineering, Physics, and Political Science, and the Statistics and Data Science Center within the Institute for Data, Systems, and Society. It is open to current doctoral students in participating departments. For more information, including department-specific requirements, see the full program description under Interdisciplinary Graduate Programs.

Many doctoral students are supported by scholarship and fellowship grants, as well as by teaching and research assistantships.

For more information regarding admissions or financial aid , contact Julia Martyn-Shah, 617-253-8787. For undergraduate admissions and academic programs , contact Gary King, 617-253-0951. For any other information , contact Megan Miller,  617-253-3807.

Faculty and Teaching Staff

Jonathan Gruber, PhD

Ford Professor

Professor of Economics

Head, Department of Economics

David Atkin, PhD

Barton L. Weller (1940) Professor

Associate Head, Department of Economics

Alberto Abadie, PhD

Member, Institute for Data, Systems, and Society

Daron Acemoglu, PhD

Institute Professor

Nikhil Agarwal, PhD

(On leave, fall)

Isaiah Andrews, PhD

Charles E. and Susan T. Harris Professor

Joshua Angrist, PhD

David H. Autor, PhD

Daniel (1972) and Gail Rubenfeld Professor

Abhijit Banerjee, PhD

Ford International Professor

Ricardo J. Caballero, PhD

Victor V. Chernozhukov, PhD

Arnaud Costinot, PhD

David J. Donaldson, PhD

Class of 1949 Professor

Esther Duflo, PhD

Abdul Latif Jameel Professor of Poverty Alleviation and Development Economics

Glenn Ellison, PhD

Gregory K. Palm (1970) Professor

Amy Finkelstein, PhD

John and Jennie S. MacDonald Professor

Drew Fudenberg, PhD

Paul A. Samuelson Professor

Robert S. Gibbons, PhD

Sloan Distinguished Professor of Management

Professor of Applied Economics

Nathaniel Hendren, PhD

Anna Mikusheva, PhD

Edward A. Abdun-Nur (1924) Professor

Stephen Morris, PhD

Peter A. Diamond Professor

Sendhil Mullainathan, PhD

Peter de Florez Professor

Professor of Electrical Engineering and Computer Science

Whitney K. Newey, PhD

Benjamin A. Olken, PhD

Jane Berkowitz Carlton and Dennis William Carlton Professor

Parag Pathak, PhD

Class of 1922 Professor

James M. Poterba, PhD

Mitsui Professor

Drazen Prelec, PhD

Digital Equipment Corp. Leaders for Global Operations Professor of Management

Professor of Management Science

Professor of Brain and Cognitive Sciences

Nancy L. Rose, PhD

Charles P. Kindleberger Professor of Applied Economics

Robert Townsend, PhD

Elizabeth and James Killian (1926) Professor

Ivan Werning, PhD

Robert M. Solow Professor

Michael Whinston, PhD

Society of Sloan Fellows Professor of Management

Alexander Greenberg Wolitzky, PhD

Muhamet Yildiz, PhD

Associate Professors

Martin Beraja, PhD

Pentti Kouri Career Development Professor

Associate Professor of Economics

(On leave, spring)

Simon Jaeger, PhD

Silverman (1968) Family Career Development Professor

Tobias Salz, PhD

Castle Krob Career Development Professor

Frank Schilbach, PhD

Assistant Professors

Ian Ball, PhD

Gary Loveman Career Development Professor

Assistant Professor of Economics

Jacob Moscona, PhD

3M Career Development Assistant Professor of Environmental Economics

Ashesh Rambachan, PhD

Nina Roussille, PhD

Lister Brothers Career Development Professor

Christian Wolf, PhD

Rudi Dornbusch Career Development Professor

Visiting Assistant Professors

Bradley Setzler, PhD

Visiting Assistant Professor of Economics

Senior Lecturers

Sara F. Ellison, PhD

Senior Lecturer in Economics

Professors Emeriti

Olivier Jean Blanchard, PhD

Robert M. Solow Professor Emeritus

Professor Emeritus of Economics

Peter A. Diamond, PhD

Institute Professor Emeritus

Stanley Fischer, PhD

Jeffrey E. Harris, MD, PhD

Jerry A. Hausman, PhD

John and Jennie S. MacDonald Professor Emeritus

Bengt Holmström, PhD

Paul A. Samuelson Professor Emeritus

Professor Emeritus of Applied Economics

Paul L. Joskow, PhD

Elizabeth and James Killian Professor Emeritus

Michael J. Piore, PhD

David W. Skinner Professor Emeritus

Professor Emeritus of Political Economy

Professor Emeritus of Political Science

Richard Schmalensee, PhD

Howard W. Johnson Professor Emeritus

Professor Emeritus of Management

Peter Temin, PhD

Elisha Gray II Professor Emeritus

William C. Wheaton, PhD

Professor Emeritus of Urban Studies and Planning

General Economics and Theory

14.00 undergraduate internship in economics.

Prereq: Permission of instructor U (IAP, Summer) Units arranged [P/D/F] Can be repeated for credit.

For Course 14 students participating in off-campus internship experiences in economics. Before registering for this subject, students must have an employment offer from a company or organization and must identify a Course 14 advisor. Upon completion of the internship, student must submit a letter from the employer describing the work accomplished, along with a substantive final report from the student approved by the MIT advisor. Subject to departmental approval. Consult departmental undergraduate office.

Consult D. Donaldson

14.000 Graduate Internship in Economics

Prereq: Permission of instructor G (IAP, Summer) Units arranged [P/D/F] Can be repeated for credit.

For Course 14 students participating in off-campus internship experiences in economics. Before registering for this subject, students must have an employment offer from a company or organization and must identify a Course 14 advisor. Upon completion of the internship, student must submit a letter from the employer describing the work accomplished, along with a substantive final report from the student approved by the MIT advisor. Subject to departmental approval. Consult departmental graduate office.

Consult I. Andrews

14.001 Data Economics and Development Policy Summer Internship

Prereq: Permission of department G (Fall, Spring, Summer) 0-1-0 units

Provides students in the DEDP Master's program the opportunity to synthesize their coursework and professional experience in development economics and data analysis. In the context of a summer internship, students apply the knowledge gained in the program towards a project with a host organization, typically in the development sector. Students will be supported in finding a suitable opportunity or research project. All internship placements are subject to approval by the program director. Each student must write a capstone project report. Restricted to DEDP MASc students.

14.003 Microeconomic Theory and Public Policy

Subject meets with 14.03 Prereq: 14.01 or permission of instructor G (Fall, Spring) 4-0-8 units

Students master and apply economic theory, causal inference, and contemporary evidence to analyze policy challenges. These include the effect of minimum wages on employment, the value of healthcare, the power and limitations of free markets, the benefits and costs of international trade, the causes and remedies of externalities, the consequences of adverse selection in insurance markets, the impacts of labor market discrimination, and the application of machine learning to supplement to decision-making. Class attendance and participation are mandatory. Students taking graduate version complete additional assignments.

Consult D. Autor, S. Jaeger

14.009 Economics and Society's Toughest Problems

Prereq: None Acad Year 2024-2025: Not offered Acad Year 2025-2026: U (Fall) 1-0-2 units

Should we trade more or less with China? Why are some countries poor, and some countries rich? Why are the 1% getting richer? Should the US have a universal basic income? Why is our society becoming so polarized? What can we do to mitigate climate change? Will robots take all the jobs? Why does racism persist and how can we fight it? What will the world economy look like after the COVID-19 recession? Economics shows you how to think about some of the toughest problems facing society — and how to use data to get answers. Features lectures by MIT's economics faculty, showing how their cutting-edge research can help answer these questions. In lieu of problem sets, quizzes, or other written assignments, students produce materials of their choice (podcasts, TikToks, longer videos) with the view to make a potential audience excited about economics. Subject can count toward the 6-unit discovery-focused credit limit for first-year students.

14.01 Principles of Microeconomics

Prereq: None U (Fall, Spring) 3-0-9 units. HASS-S

Introduces microeconomic concepts and analysis, supply and demand analysis, theories of the firm and individual behavior, competition and monopoly, and welfare economics. Applications to problems of current economic policy.

Consult N. Agarwal, D. Donaldson, S. Ellison, J. Gruber

14.02 Principles of Macroeconomics

Provides an overview of macroeconomic issues including the determination of national income, economic growth, unemployment, inflation, interest rates, and exchange rates. Introduces basic macroeconomic models and illustrates key principles through applications to the experience of the US and other economies. Explores a range of current policy debates, such as the economic effects of monetary and fiscal policy, the causes and consequences of the 2008 global financial crisis, and the factors that influence long-term growth in living standards. Lectures are recorded and available for students with scheduling conflicts.

M. Beraja, R. Caballero, J. Poterba

14.03 Microeconomic Theory and Public Policy

Subject meets with 14.003 Prereq: 14.01 or permission of instructor U (Fall, Spring) 4-0-8 units. HASS-S

14.04 Intermediate Microeconomic Theory

Prereq: Calculus II (GIR) and 14.01 U (Fall) 4-0-8 units. HASS-S

Analysis of consumer and producer decisions including analysis of competitive and monopolistic markets. Price-based partial and general equilibrium analysis. Introduction to game theory as a foundation for the strategic analysis of economic situations. Imperfect competition, dynamic games among firms. Failures of general equilibrium theory and their resolutions: externalities, public goods, incomplete information settings, signaling, screening, insurance, alternative market mechanisms, auctions, design of markets.

14.05 Intermediate Macroeconomics

Prereq: 14.01 and ( 14.02 or permission of instructor) U (Fall) 4-0-8 units. HASS-S

Uses the tools of macroeconomics to investigate various macroeconomic issues in depth. Topics range from economic growth and inequality in the long run to economic stability and financial crises in the short run. Surveys many economic models used today. Requires a substantial research paper on the economics of long-run economic growth.

14.06 Advanced Macroeconomics

Prereq: 14.01 and 14.02 U (Fall) Not offered regularly; consult department 4-0-8 units. HASS-S

Blends a thorough study of the theoretical foundations of modern macroeconomics with a review of useful mathematical tools, such as dynamic programming, optimal control, and dynamic systems. Develops comfort with formal macroeconomic reasoning and deepens understanding of key macroeconomic phenomena, such as business cycles. Goes on to study more specific topics, such as unemployment, financial crises, and the role of fiscal and monetary policy. Special attention to reviewing relevant facts and disentangling them from their popular interpretations. Uses insights and tools from game theory. Includes applications to recent and historical events.

Consult Department Headquarters

14.08 Technical Topics in Economics

Prereq: 14.01 U (Fall, Spring) 4-0-8 units Can be repeated for credit.

Considers technical issues of current research interest in economics.

14.09 Reading Seminar in Economics

Prereq: 14.04 and 14.06 U (Fall, IAP, Spring, Summer) Units arranged [P/D/F] Can be repeated for credit.

Reading and discussion of particular topics in economics. Open to undergraduate students by arrangement with individual faculty members. Consult Department Headquarters.

D. Donaldson

14.10 Reading Seminar in Economics

Prereq: 14.04 and 14.06 U (Fall, IAP, Spring, Summer) Units arranged Can be repeated for credit.

14.11 Topics in Economics

Prereq: 14.01 U (Fall) Not offered regularly; consult department 4-0-8 units. HASS-S Can be repeated for credit.

Considers issues of current research interest in economics.

14.12 Economic Applications of Game Theory

Prereq: 14.01 and (6.041B, 14.04 , 14.30 , 18.05 , or permission of instructor) U (Fall) 4-0-8 units. HASS-S

Analysis of strategic behavior in multi-person economic settings. Introduction to solution concepts, such as rationalizability, backwards induction, Nash equilibrium, subgame-perfect equilibrium, and sequential equilibrium. Strong emphasis on dynamic games, such as repeated games. Introduction to Bayesian games, focusing on Bayesian Nash Equilibrium, Perfect Bayesian Equilibrium, and signaling games. Applications drawn from microeconomics: imperfect competition, implicit cartels, bargaining, and auctions.

14.121 Microeconomic Theory I

Prereq: 14.04 and permission of instructor G (Fall; first half of term) 3-0-3 units

Covers consumer and producer theory, markets and competition, general equilibrium and the welfare theorems; featuring applications, uncertainty, identification and restrictions models place on data. Enrollment limited; preference to PhD students.

14.122 Microeconomic Theory II

Prereq: 14.121 and permission of instructor G (Fall; second half of term) 3-0-3 units

Introduction to game theory. Topics include normal form and extensive form games, and games with incomplete information. Enrollment limited.

14.123 Microeconomic Theory III

Prereq: 14.121 , 14.122 , and permission of instructor G (Spring; first half of term) 3-0-3 units

Models of individual decision-making under certainty and uncertainty. Additional topics in game theory. Enrollment limited.

D. Fudenberg

14.124 Microeconomic Theory IV

Prereq: 14.123 or permission of instructor G (Spring; second half of term) 3-0-3 units

Introduction to statistical decision theory, incentive contracting (moral hazard and adverse selection), mechanism design and incomplete contracting. Enrollment limited.

A. Wolitzky

14.125 Market Design

Prereq: 14.124 G (Spring) 4-0-8 units

Theory and practice of market design, building on ideas from microeconomics, game theory and mechanism design. Prominent case studies include auctions, labor markets, school choice, prediction markets, financial markets, and organ exchange clearinghouses.

N. Agarwal, P. Pathak

14.126 Game Theory

Prereq: 14.122 G (Spring) 3-0-9 units

Investigates equilibrium and non-equilibrium solution concepts and their foundations as the result of learning or evolution. Studies the equilibria of supermodular games, global games, repeated games, signaling games, and models of bargaining, cheap talk, and reputation.

D. Fudenberg, A. Wolitzky, M. Yildiz

14.127 Advanced Game Theory

Prereq: None G (Fall) 4-0-8 units

For students who plan to do game theory research. Covers the following topics: epistemic foundations of game theory, higher order beliefs, the role and status of common prior assumptions, social networks and social learning, repeated and stochastic games, non-equilibrium learning, stochastic stability and evolutionary dynamics, game theory experiments, and behavioral game theory.

D. Fudenberg, M. Yildiz

14.129 Advanced Contract Theory

Prereq: 14.121 , 14.281 , or permission of instructor G (Spring; first half of term) 3-0-3 units

Presents the contract theory, mechanism design, and general equilibrium theory necessary for an understanding of  a variety of recent innovations: crypto currencies, digital assets; intermediation through digital big techs; central bank digital currency; and decentralized finance (DeFi) versus centralized exchange and contract platforms. Three broad themes: 1) Take stock of new technologies' characteristic features (distributed ledgers and blockchain, e-transfers, smart contacts, and encryption); 2) Translate these features into formal language;  3) Inform normative questions: Should we delegate programmable contacts to the private sector and the role of public authorities. 

Consult R. Townsend

14.13 Psychology and Economics

Subject meets with 14.131 Prereq: 14.01 U (Spring) 4-0-8 units. HASS-S

Introduces the theoretical and empirical literature of behavioral economics. Examines important and systematic departures from the standard models in economics by incorporating insights from psychology and other social sciences. Covers theory and evidence on time, risk, and social preferences; beliefs and learning; emotions; limited attention; and frames, defaults, and nudges. Studies applications to many different areas, such as credit card debt, procrastination, retirement savings, addiction, portfolio choice, poverty, labor supply, happiness, and government policy. Students participate in surveys and experiments in class, review evidence from lab experiments, examine how the results can be integrated into models, and test models using field and lab data. Students taking graduate version complete additional assignments.

F. Schilbach

14.130 Reading Economic Theory

Prereq: 14.121 and 14.451 G (Fall) 2-0-10 units Can be repeated for credit.

Class will read and discuss current research in economic theory with a focus on game theory, decision theory, and behavioral economics. Students will be expected to make one presentation and to read and post comments on every paper by the day before the paper is presented. Permission of the instructor required, and auditors are not allowed.

14.131 Psychology and Economics

Subject meets with 14.13 Prereq: 14.01 G (Spring) 4-0-8 units

Introduces the theoretical and empirical literature of behavioral economics. Examines important and systematic departures from the standard models in economics by incorporating insights from psychology and other social sciences. Covers theory and evidence on time, risk, and social preferences; beliefs and learning; emotions; limited attention; and frames, defaults, and nudges. Studies applications to many different areas, such as credit card debt, procrastination, retirement savings, addiction, portfolio choice, poverty, labor supply, happiness, and government policy. Students participate in surveys and experiments in class, review evidence from lab experiments, examine how the results can be integrated into models, and test models using field and lab data.  Students taking graduate version complete additional assignments.

14.137[J] Psychology and Economics

Same subject as 9.822[J] Prereq: None G (Spring) 4-0-8 units

Examines "psychology appreciation" for economics students. Aims to enhance knowledge and intuition about psychological processes in areas relevant to economics. Increases understanding of psychology as an experimental discipline, with its own distinct rules and style of argument. Topics include self-knowledge, cognitive dissonance, self-deception, emotions, social norms, self-control, learning, mental accounting, memory, individual and group behavior, and some personality and psycho-analytic models. Within each of these topics, we showcase effective and central experiments and discuss their role in the development of psychological theory. Term paper required.

14.147 Topics in Game Theory

Prereq: 14.126 Acad Year 2024-2025: Not offered Acad Year 2025-2026: G (Fall) 4-0-8 units

Advanced subject on topics of current research interest.

14.15[J] Networks

Same subject as 6.3260[J] Subject meets with 14.150 Prereq: 6.3700 or 14.30 U (Spring) 4-0-8 units. HASS-S

Highlights common principles that permeate the functioning of diverse technological, economic and social networks. Utilizes three sets of tools for analyzing networks -- random graph models, optimization, and game theory -- to study informational and learning cascades; economic and financial networks; social influence networks; formation of social groups; communication networks and the Internet; consensus and gossiping; spread and control of epidemics; control and use of energy networks; and biological networks. Students taking graduate version complete additional assignments.

14.150 Networks

Subject meets with 6.3260[J] , 14.15[J] Prereq: 6.3700 or 14.300 G (Spring) 4-0-8 units

14.16 Strategy and Information

Subject meets with 14.161 Prereq: 14.01 or permission of instructor U (Spring) 4-0-8 units. HASS-S

Covers modern applications of game theory where incomplete information plays an important role. Applications include bargaining, auctions, global games, market design, information design, and network economics. Students taking graduate version complete additional assignments.

14.160 Behavioral Economics

Prereq: 14.122 G (Spring) 4-0-8 units

Covers recent theory and empirical evidence in behavioral economics. Topics include deviations from the neoclassical model in terms of (i) preferences (present bias, reference dependence, social preferences), (ii) beliefs (overconfidence, projection bias), and (iii) decision-making (cognition, attention, framing, persuasion), as well as (iv) market reactions to such deviations. Applications will cover a large range of fields, including labor and public economics, industrial organization, health economics, finance, and development economics.

A. Banerjee,  F. Schilbach

14.161 Strategy and Information

Subject meets with 14.16 Prereq: 14.01 or permission of instructor G (Spring) 4-0-8 units

14.163 Algorithms and Behavioral Science

Prereq: ( 14.122 and 14.381 ) or permission of instructor G (Spring) 4-0-8 units

Examines algorithms and their interaction with human cognition.  Provides an overview of supervised learning as it relates to econometrics and economic applications. Discusses using algorithms to better understand people, using algorithms to improve human judgment, and using understanding of humans to better design algorithms.  Prepares economics PhD students to conduct research in the field.

S. Mullainathan, A. Rambachan

14.18 Mathematical Economic Modeling

Prereq: 14.04 , 14.12 , 14.15[J] , or 14.19 U (Spring) 4-0-8 units. HASS-S

Guides students through the process of developing and analyzing formal economic models and effectively communicating their results. Topics include decision theory, game theory, voting, and matching. Instruction and practice in oral and written communication provided. Prior coursework in microeconomic theory and/or proof-based mathematics required. Limited to 18 students.

14.19 Market Design

Prereq: 14.01 U (Fall) 4-0-8 units. HASS-S

Covers the design and operation of organized markets, building on ideas from microeconomic and game theory. Topics may include mechanism design, auctions, matching markets, and other resource allocation problems.

14.191 Independent Research Paper

Prereq: Permission of instructor G (Fall, IAP, Spring, Summer) 0-12-0 units Can be repeated for credit.

Under guidance from a faculty member approved by Graduate Registration Officer, student writes a substantial, probably publishable research paper. Must be completed by the end of a student's second year to satisfy the departmental minor requirement.

14.192 Advanced Research and Communication

Prereq: 14.124 , 14.382 , and 14.454 G (Fall, IAP, Spring) 2-4-6 units Can be repeated for credit.

Guides second-year Economics PhD students through the process of conducting and communicating economic research. Students choose topics for research projects, develop research strategies, carry out analyses, and write and present research papers. Limited to second year Economics PhD students.

14.193 Advanced Seminar in Economics

Prereq: 14.121 and 14.451 G (Fall, Spring, Summer; first half of term) Units arranged Can be repeated for credit.

Reading and discussion of current topics in economics. Open to advanced graduate students by arrangement with individual members of the staff.

Consult Department headquarters

14.195 Reading Seminar in Economics

Prereq: 14.121 G (Fall, Spring, Summer) Units arranged [P/D/F] Can be repeated for credit.

14.197 Independent Research

Prereq: None G (Fall, IAP, Spring, Summer) Units arranged [P/D/F] Can be repeated for credit.

Under guidance from a faculty member approved by Graduate Registration Officer, student conducts independent research.

14.198, 14.199 Teaching Introductory Economics

Prereq: None G (Fall, Spring) 2-0-2 units Can be repeated for credit.

Required of teaching assistants in introductory economics ( 14.01 and 14.02 ), under guidance from the faculty member in charge of the subject.

14.198: N. Agarwal, D. Donaldson 14.199: M. Beraja, R. Caballero

14.281 Contract Economics

Prereq: 14.124 or permission of instructor G (Fall) 4-0-8 units

Covers theoretical research on contracts in static as well as dynamic settings. Topics include agency theory, mechanism design, incomplete contracting, information design and costly information acquisition. 

I. Ball, S. Morris

Industrial Organization

14.20 industrial organization: competitive strategy and public policy.

Subject meets with 14.200 Prereq: 14.01 U (Spring) 4-0-8 units. HASS-S

Analyzes the current debate over the rise of monopolies, the strategic behavior and performance of firms in imperfectly competitive markets, and the role of competition policy. Topics include monopoly power; pricing, product choice, and innovation decisions by firms in oligopoly markets; static and dynamic measurement of market performance; and incentives in organizations. Requires regular participation in class discussion and teamwork in a competitive strategy game. Students taking graduate version complete additional assignments.

14.200 Industrial Organization: Competitive Strategy and Public Policy

Subject meets with 14.20 Prereq: 14.01 G (Spring) 4-0-8 units

14.27 Economics and E-Commerce

Subject meets with 14.270 Prereq: 14.01 and ( 6.3700 or 14.30 ) U (Spring) 4-0-8 units. HASS-S

Uses theoretical economic models and empirical evidence to help understand the growth and future of e-commerce. Economic models help frame class discussions of, among other topics, content provision, privacy, piracy, sales taxation, group purchasing, price search, and advertising on the internet. Empirical project and paper required. Students taking graduate version complete additional assignments.

14.270 Economics and E-Commerce

Subject meets with 14.27 Prereq: 14.01 and ( 6.3700 or 14.30 ) G (Spring) 4-0-8 units

14.271 Industrial Organization I

Prereq: None. Coreq: 14.122 and 14.381 G (Fall) 5-0-7 units

Covers theoretical and empirical work dealing with the structure, behavior, and performance of firms and markets and core issues in antitrust. Topics include: the organization of the firm, monopoly, price discrimination, oligopoly, and auctions. Theoretical and empirical work are integrated in each area.

14.272 Industrial Organization II

Prereq: 14.271 G (Spring) 5-0-7 units

Continuation of 14.271 . Focuses on government interventions in monopoly and oligopoly markets, and addresses both competition and regulatory policy. Topics include horizontal merger policy and demand estimation, vertical integration and vertical restraints, and the theory and practice of economic regulation. Applications include the political economy of regulation; the performance of economic regulation; deregulation in sectors including electric power, transportation, and financial services; and pharmaceutical and environmental regulation in imperfectly competitive product markets.

N. Rose, M. Whinston

14.273 Advanced Topics in Industrial Organization

Empirical analysis of theoretically derived models of market behavior. Varied topics include demand estimation, differentiated products, production functions, analysis of market power, entry and exit, vertical relationships, auctions, matching markets, network externalities, dynamic oligopoly, moral hazard and adverse selection. Discussion will focus on methodological issues, including identification, estimation, counter-factual analysis and simulation techniques.

N. Agarwal, T. Salz

Organizational Economics

14.26[j] organizational economics.

Same subject as 15.039[J] Subject meets with 14.260 Prereq: 14.01 Acad Year 2024-2025: Not offered Acad Year 2025-2026: U (Spring) 4-0-8 units. HASS-S

Provides a rigorous, but not overly technical introduction to the economic theory of organization together with a varying set of applications. Addresses incentives, control, relationships, decision processes, and organizational culture and performance. Introduces selected fundamentals of game theory. Students taking graduate version complete additional assignments. Limited to 60.

C. Angelucci

14.260 Organizational Economics

Subject meets with 14.26[J] , 15.039[J] Prereq: None Acad Year 2024-2025: Not offered Acad Year 2025-2026: G (Spring) 4-0-8 units

14.282 Introduction to Organizational Economics

Prereq: 14.124 G (Fall) 5-0-7 units

Begins with survey of contract theory for organizational economists, then introduces the main areas of the field, including the boundary of the firm; decision-making, employment, structures and processes in organizations; and organizations other than firms.

C. Angelucci, R. Gibbons, N. Kala

14.283 Advanced Topics in Organizational Economics I

Prereq: 14.282 G (Spring; first half of term) 2-0-4 units

Builds on the work done in 14.282 to develop more in-depth analysis of topics in the field.

14.284 Advanced Topics in Organizational Economics II

Prereq: 14.282 G (Spring; second half of term) 2-0-4 units

Statistics and Econometrics

14.30 introduction to statistical methods in economics.

Subject meets with 14.300 Prereq: Calculus II (GIR) U (Fall) 4-0-8 units. REST

Self-contained introduction to probability and statistics with applications in economics and the social sciences.  Covers elements of probability theory, statistical estimation and inference, regression analysis, causal inference, and program evaluation. Couples methods with applications and with assignments involving data analysis. Uses basic calculus and matrix algebra.  Students taking graduate version complete additional assignments. May not count toward HASS requirement.

14.300 Introduction to Statistical Methods in Economics

Subject meets with 14.30 Prereq: Calculus II (GIR) G (Fall) 4-0-8 units

Self-contained introduction to probability and statistics with applications in economics and the social sciences. Covers elements of probability theory, statistical estimation and inference, regression analysis, causal inference, and program evaluation. Couples methods with applications and with assignments involving data analysis. Uses basic calculus and matrix algebra. Students taking graduate version complete additional assignments.

14.310 Data Analysis for Social Scientists

Prereq: None G (Spring) Not offered regularly; consult department 4-0-8 units

Introduces methods for harnessing data to answer questions of cultural, social, economic, and policy interest. Presents essential notions of probability and statistics. Covers techniques in modern data analysis: regression and econometrics, prediction, design of experiment, randomized control trials (and A/B testing), machine learning, data visualization, analysis of network data, and geographic information systems. Projects include analysis of data with a written description and interpretation of results; may involve gathering of original data or use of existing data sets. Applications drawn from real world examples and frontier research. Instruction in use of the statistical package R. Students taking graduate version complete additional assignments.

Consult E. Duflo

14.32 Econometric Data Science

Subject meets with 14.320 Prereq: 14.30 or 18.650[J] U (Fall, Spring) 4-4-4 units. Institute LAB

Introduces regression and other tools for causal inference and descriptive analysis in empirical economics. Topics include analysis of randomized experiments, instrumental variables methods and regression discontinuity designs, differences-in-differences estimation, and regression with time series data. Develops the skills needed to conduct — and critique — empirical studies in economics and related fields. Empirical applications are drawn from published examples and frontier research. Familiarity with statistical programming languages is helpful. Students taking graduate version complete an empirical project leading to a short paper. No listeners. Limited to 70 total for versions meeting together.

A. Mikusheva, J. Angrist

14.320 Econometric Data Science

Subject meets with 14.32 Prereq: 14.300 or 18.650[J] G (Fall, Spring) 4-4-4 units

Introduces regression and other tools for causal inference and descriptive analysis in empirical economics. Topics include analysis of randomized experiments, instrumental variables methods and regression discontinuity designs, differences-in-differences estimation, and regress with time series data. Develops the skills needed to conduct — and critique — empirical studies in economics and related fields. Empirical applications are drawn from published examples and frontier research. Familiarity with statistical programming languages is helpful. Students taking graduate version complete an empirical project leading to a short paper. No listeners. Limited to 70 total for versions meeting together.

14.33 Research and Communication in Economics: Topics, Methods, and Implementation

Prereq: 14.32 and ( 14.01 or 14.02 ) U (Fall, Spring) 3-4-5 units. HASS-S

Exposes students to the process of conducting independent research in empirical economics and effectively communicating the results of the research. Emphasizes econometric analysis of an assigned economic question and culminates in each student choosing an original topic, performing appropriate analysis, and delivering oral and written project reports. Limited to 20 per section.

14.35 Why Markets Fail

Prereq: 14.04 , 14.12 , 14.15[J] , or 14.19 U (Fall) 4-0-8 units. HASS-S

Guides students through the process of developing and communicating economic and data analysis. Discusses topics in which markets fail to provide efficient outcomes or economic opportunity. Topics include health insurance, intergenerational mobility, discrimination, climate change, and more. Instruction and practice in oral and written communication provided. Key course activities include the writing of a term paper conducting original economic analysis and an in-class slide presentation of the work. Limited to 18.

14.36 Advanced Econometrics

Subject meets with 14.387 Prereq: 14.32 or permission of instructor U (Fall) 4-0-8 units

Advanced treatment of the core empirical strategies used to answer causal questions in applied microeconometric research. Covers extensions and innovations relating to econometric applications of regression, machine learning, instrumental variables, differences-in-differences and event-study models, regression discontinuity designs, synthetic controls, and statistical inference.  Students taking graduate version complete an additional assignment.  

14.38 Inference on Causal and Structural Parameters Using ML and AI

Subject meets with 14.388 Prereq: 14.32 U (Spring) 4-0-8 units

Provides an applied treatment of modern causal inference with high-dimensional data, focusing on empirical economic problems encountered in academic research and the tech industry. Formulates problems in the languages of structural equation modeling and potential outcomes. Presents state-of-the-art approaches for inference on causal and structural parameters, including de-biased machine learning, synthetic control methods, and reinforcement learning. Introduces tools from machine learning and deep learning developed for prediction purposes, and discusses how to adapt them to learn causal parameters. Emphasizes the applied and practical perspectives. Requires knowledge of mathematical statistics and regression analysis and programming experience in R or Python.

V. Chernozhukov

14.380 Statistical Method in Economics

Prereq: 14.32 or permission of instructor G (Fall; first half of term) 3-0-3 units

Introduction to probability and statistics as background for advanced econometrics. Covers elements of probability theory, sampling theory, asymptotic approximations, hypothesis testing, and maximum-likelihood methods. Illustrations from economics and application of these concepts to economic problems. Limited to 40 PhD students.

A. Mikusheva, A. Rambachan

14.381 Estimation and Inference for Linear Causal and Structural Models

Prereq: 14.380 and 18.06 G (Fall; second half of term) 3-0-3 units

Explains basic econometric ideas and methods, illustrating with empirical applications. Causal inference is emphasized and examples of economic structural models are given. Topics include randomized trials, regression, including discontinuity designs and diffs-in-diffs, and instrumental variables, including local average treatment effects. Basic asymptotic theory for regression is covered and robust standard errors and statistical inference methods are given. Restricted to PhD students from Courses 14 and 15. Instructor approval required for all others.

14.382 Econometrics

Prereq: 14.381 or permission of instructor G (Spring) 3-0-3 units

Covers key models as well as identification and estimation methods used in modern econometrics. Presents modern ways to set up problems and do better estimation and inference than the current empirical practice. Introduces generalized method of moments and the method of M-estimators in addition to more modern versions of these methods dealing with important issues, such as weak identification. Also discusses the bootstrap. Students gain practical experience by applying the methods to real data sets. Enrollment limited.

14.383 High-Dimensional Econometrics (New)

Prereq: 14.382 or permission of instructor G (Spring; second half of term) 3-0-3 units

Continuation of topics in 14.382 , with specific focus on large dimensional models. Students gain practical experience by applying the methods to real data sets. Enrollment limited.

14.384 Time Series Analysis

Prereq: 14.382 or permission of instructor G (Fall) 5-0-7 units

Studies theory and application of time series methods in econometrics, including spectral analysis, estimation with stationary and non-stationary processes, VARs, factor models, unit roots, cointegration, and Bayesian methods. Enrollment limited.

A. Mikusheva

14.385 Nonlinear Econometric Analysis

Develops a full understanding of and ability to apply micro-econometric models and methods. Topics include extremum estimators, including minimum distance and simulated moments, identification, partial identification, sensitivity analysis, many weak instruments, nonlinear panel data, de-biased machine learning, discrete choice models, nonparametric estimation, quantile regression, and treatment effects. Methods are illustrated with economic applications. Enrollment limited.

A. Abadie, W. Newey

14.386 New Econometric Methods

Prereq: 14.382 G (Spring) 4-0-8 units

Exposes students to the frontier of econometric research. Includes fundamental topics such as empirical processes, semiparametric estimation, nonparametric instrumental variables, inference under partial identification, large-scale inference, empirical Bayes, and machine learning methods. Other topics vary from year to year, but can include empirical likelihood, weak identification, and networks.

14.387 Applied Econometrics

Subject meets with 14.36 Prereq: 14.381 or permission of instructor G (Fall) 4-0-8 units

Advanced treatment of the core empirical strategies used to answer causal questions in applied microeconometric research. Covers extensions and innovations relating to econometric applications of regression, machine learning, instrumental variables, differences-in-differences and event-study models, regression discontinuity designs, synthetic controls, and statistical inference.  Students taking the graduate version complete an additional assignment.  

14.388 Inference on Causal and Structural Parameters Using ML and AI

Subject meets with 14.38 Prereq: 14.381 G (Spring) 4-0-8 units

Provides an applied treatment of modern causal inference with high-dimensional data, focusing on empirical economic problems encountered in academic research and the tech industry. Formulates problems in the languages of structural equation modeling and potential outcomes. Presents state-of-the-art approaches for inference on causal and structural parameters, including de-biased machine learning, synthetic control methods, and reinforcement learning. Introduces tools from machine learning and deep learning developed for prediction purposes, and discusses how to adapt them to learn causal parameters. Emphasizes the applied and practical perspectives. Requires knowledge of mathematical statistics and regression analysis and programming experience in R or Python.

14.39 Large-Scale Decision-Making and Inference (New)

Subject meets with 14.390 Prereq: 14.32 U (Fall) 4-0-8 units. HASS-S

Covers the use of data to guide decision-making, with a focus on data-rich and high-dimensional environments as are now commonly encountered in both academic and industry applications. Begins with an introduction to statistical decision theory, including Bayesian perspectives. Covers empirical Bayes methods, including related concepts such as false discovery rates, illustrated with economic applications. Requires knowledge of mathematical statistics and regression analysis, as well as programming experience in R or Python. Students taking the graduate version submit additional assignments.

14.390 Large-Scale Decision-Making and Inference (New)

Subject meets with 14.39 Prereq: 14.320 G (Fall) 4-0-8 units

14.391 Workshop in Economic Research

Prereq: 14.124 and 14.454 G (Fall) 2-0-10 units Can be repeated for credit.

Develops research ability of students through intensive discussion of dissertation research as it proceeds, individual or group research projects, and critical appraisal of current reported research. Workshops divided into various fields, depending on interest and size.

14.392 Workshop in Economic Research

Prereq: 14.124 and 14.454 G (Spring) 2-0-10 units Can be repeated for credit.

14.399 Seminar in Data Economics and Development Policy

Prereq: Permission of instructor G (Spring) 2-0-10 units

Group study of current topics in development policy and research. Includes student presentations and invited speakers. Restricted to DEDP MASc students.

National Income and Finance

14.41 public finance and public policy.

Subject meets with 14.410 Prereq: 14.01 U (Fall) 4-0-8 units. HASS-S

Explores the role of government in the economy, applying tools of basic microeconomics to answer important policy questions such as government response to global warming, school choice by K-12 students, Social Security versus private retirement savings accounts, government versus private health insurance, setting income tax rates for individuals and corporations. Students taking the graduate version complete additional assignments.

14.410 Public Finance and Public Policy

Subject meets with 14.41 Prereq: 14.01 G (Fall) 4-0-8 units

14.416[J] Asset Pricing

Same subject as 15.470[J] Prereq: None G (Fall) 4-0-8 units

See description under subject 15.470[J] .

L. Schmidt, L. Mota

14.42 Environmental Policy and Economics

Subject meets with 14.420 Prereq: 14.01 U (Spring) Not offered regularly; consult department 4-0-8 units. HASS-S

Introduces key concepts and recent advances in environmental economics, and explores their application to environmental policy questions. Topics include market efficiency and market failure, methods for valuing the benefits of environmental quality, the proper role of government in the regulation of the environment, environmental policy design, and implementation challenges. Considers international aspects of environmental policy as well, including the economics of climate change, trade and the environment, and environmental challenges in developing countries. Students taking graduate version complete additional assignments.

14.420 Environmental Policy and Economics

Subject meets with 14.42 Prereq: 14.01 G (Spring) Not offered regularly; consult department 4-0-8 units

Introduces students to key concepts and recent advances in environmental economics, and explores their application to environmental policy questions. Topics include market efficiency and market failure, methods for valuing the benefits of environmental quality, the proper role of government in the regulation of the environment, environmental policy design and implementation challenges. Also considers international aspects of environmental policy including the economics of climate change, trade and the environment and environmental challenges in developing countries. Students taking graduate version complete additional assignments.

14.43[J] Economics of Energy, Innovation, and Sustainability

Same subject as 15.0201[J] Prereq: 14.01 or 15.0111 U (Fall) Not offered regularly; consult department 3-0-9 units. HASS-S Credit cannot also be received for 15.020

See description under subject 15.0201[J] .

14.44[J] Energy Economics and Policy

Same subject as 15.037[J] Prereq: 14.01 or 15.0111 U (Spring) 4-0-8 units. HASS-S Credit cannot also be received for 14.444[J] , 15.038[J]

Analyzes business and public policy issues in energy markets and in the environmental markets to which they are closely tied. Examines the economic determinants of industry structure and evolution of competition among firms in these industries. Investigates successful and unsuccessful strategies for entering new markets and competing in existing markets. Industries studied include oil, natural gas, coal, electricity, and transportation. Topics include climate change and environmental policy, the role of speculation in energy markets, the political economy of energy policies, and market power and antitrust. Two team-based simulation games, representing the world oil market and a deregulated electricity market, act to cement the concepts covered in lecture. Students taking graduate version complete additional assignments. Limited to 60.

14.440[J] Advanced Corporate Finance

Same subject as 15.473[J] Prereq: None G (Spring) 3-0-9 units

See description under subject 15.473[J] . Primarily for doctoral students in finance, economics, and accounting.

14.441[J] Corporate Finance

Same subject as 15.471[J] Prereq: None G (Spring) 3-0-9 units

See description under subject 15.471[J] .

A. Schoar, D. Thesmar

14.442[J] Advanced Asset Pricing

Same subject as 15.472[J] Prereq: None G (Fall) 3-0-9 units

See description under subject 15.472[J] . Primarily for doctoral students in finance, economics, and accounting.

14.444[J] Energy Economics and Policy

Same subject as 15.038[J] Prereq: 14.01 or 15.0111 G (Spring) 4-0-8 units Credit cannot also be received for 14.44[J] , 15.037[J]

14.448[J] Current Topics in Finance

Same subject as 15.474[J] Prereq: None G (Spring) 3-0-9 units Can be repeated for credit.

See description under subject 15.474[J] . Primarily for doctoral students in accounting, economics, and finance.

Consult J. Alton

14.449[J] Current Research in Financial Economics

Same subject as 15.475[J] Prereq: Permission of instructor G (Fall, IAP, Spring, Summer) 3-0-3 units Can be repeated for credit.

See description under subject 15.475[J] . Restricted to doctoral students.

14.451 Dynamic Optimization Methods with Applications

Prereq: 14.06 and permission of instructor G (Fall; first half of term) 3-0-3 units

Provides an introduction to dynamic optimization methods, including discrete-time dynamic programming in non-stochastic and stochastic environments, and continuous time methods including the Pontryagin maximum principle. Applications may include the Ramsey model, irreversible investment models, and consumption choices under uncertainty. Enrollment limited.

14.452 Economic Growth

Prereq: 14.451 and permission of instructor G (Fall; second half of term) 3-0-3 units

Introduces the sources and modeling of economic growth and income differences across nations. Topics include an introduction to dynamic general equilibrium theory, the neoclassical growth model, overlapping generations, determinants of technological progress, endogenous growth models, measurement of technological progress, the role of human capital in economic growth, and growth in a global economy. Enrollment limited.

D. Acemoglu

14.453 Economic Fluctuations

Prereq: 14.452 and permission of instructor G (Spring; first half of term) 3-0-3 units

Investigation of why aggregate economic activity fluctuates, and the role of policy in affecting fluctuations. Topics include the link between monetary policy and output, the economic cost of aggregate fluctuations, the costs and benefits of price stability, and the role of central banks. Introduction to real business cycle and new Keynesian models. Enrollment limited.

14.454 Economic Crises

Prereq: 14.453 and permission of instructor G (Spring; second half of term) 3-0-3 units

Provides an overview of models of the business cycle caused by financial markets' frictions and shocks. Topics include credit crunch, collateral shocks, bank runs, contagion, speculative bubbles, credit booms, leverage, safe asset shortages, capital flows and sudden stops. Enrollment limited.

R. Caballero

14.461 Advanced Macroeconomics I

Prereq: 14.122 and 14.452 G (Fall) 5-0-7 units

Advanced subject in macroeconomics that seeks to bring students to the research frontier. Topics vary from year to year, covering a wide spectrum of classical and recent research. Topics may include business cycles, optimal monetary and tax policy, monetary economics, banking, and financial constraints on investment and incomplete markets.

M. Beraja, I. Werning

14.462 Advanced Macroeconomics II

Prereq: 14.461 G (Spring) 5-0-7 units

Topics vary from year to year. Often includes coordination failures; frictions in beliefs, such as rational inattention, higher-order uncertainty, certain forms of bounded rationality, heterogeneous beliefs, and ambiguity; implications for business cycles, asset markets, and policy; financial frictions and obstacles to trade; intermediation; liquidity; safe assets; global imbalances; financial crises; and speculation.

14.47[J] Global Energy: Politics, Markets, and Policy

Same subject as 11.167[J] , 15.2191[J] , 17.399[J] Prereq: None U (Spring) Not offered regularly; consult department 3-0-9 units. HASS-S Credit cannot also be received for 11.267[J] , 15.219[J]

See description under subject 15.2191[J] . Preference to juniors, seniors, and Energy Minors.

14.471 Public Economics I

Prereq: 14.04 G (Spring) 4-0-8 units

Theory and evidence on government taxation policy. Topics include tax incidence; optimal tax theory; the effect of taxation on labor supply and savings; taxation and corporate behavior; and tax expenditure policy.

N. Hendren, J. Poterba, I. Werning

14.472 Public Economics II

Prereq: 14.471 G (Fall) 3-0-9 units

Focuses on government expenditures and policies designed to correct market failures and/or redistribute resources. Key topics include theoretical and empirical analysis of insurance market failures, the optimal design of social insurance programs, and the design of redistributive programs.

A. Finkelstein, N. Hendren

14.475 Environmental Economics

Prereq: None G (Spring) 4-0-8 units

Theory and evidence on environmental externalities and regulatory, tax and other government responses to problems of market failure. Topics include cost-benefit analysis; measurement of the benefits of non-market goods; evaluation of the impacts of regulation; and international environmental issues including the economics of climate change and trade and the environment.

International, Interregional, and Urban Economics

14.54 international trade.

Subject meets with 14.540 Prereq: 14.01 U (Fall) 4-0-8 units. HASS-S

Provides an introduction to theoretical and empirical topics in international trade. Offers a brief history of globalization. Introduces the theory of comparative advantage and discusses its implications for international specialization and wage inequality. Studies the determinants and consequences of trade policy, and analyzes the consequences of immigration and foreign direct investment. Students taking graduate version complete additional assignments.

A. Costinot

14.540 International Trade

Subject meets with 14.54 Prereq: 14.01 G (Fall) 4-0-8 units

14.581 International Economics I

Prereq: 14.04 G (Fall) 5-0-7 units

Covers a variety of topics, both theoretical and empirical, in international trade, international macroeconomics, and economic geography. Focuses on general equilibrium analysis in neoclassical economies. Considers why countries and regions trade, and what goods they trade; impediments to trade, and why some countries deliberately erect policy to impede; and implications of openness for growth. Also tackles normative issues, such as whether trade openness is beneficial, whether there are winners and losers from trade and, if so, how they can possibly be identified.

D. Atkin, A. Costinot, D. Donaldson

14.582 International Economics II

Prereq: 14.06 G (Spring) 5-0-7 units

Building on topics covered in 14.581 , revisits a number of core questions in international trade, international macroeconomics, and economic geography in the presence of increasing returns, imperfect competition, and other distortions. Stresses their connection to both macro and micro (firm-level) data for questions related to trade policy, inequality, industrial policy, growth, and the location of economic activities. Focuses on both theoretical models, empirical findings, and the challenging task of putting those two together.

Labor Economics and Industrial Relations

14.64 labor economics and public policy.

Subject meets with 14.640 Prereq: 14.30 or permission of instructor Acad Year 2024-2025: Not offered Acad Year 2025-2026: U (Spring) 4-0-8 units. HASS-S

Provides an introduction to the labor market, how it functions, and the important role it plays in people's lives. Topics include supply and demand, minimum wages, labor market effects of social insurance and welfare programs, the collective bargaining relationship, discrimination, human capital, and unemployment. Completion of or concurrent enrollment in 14.03 or 14.04 ,  and 14.32 recommended. Students taking graduate version complete additional assignments.

14.640 Labor Economics and Public Policy

Subject meets with 14.64 Prereq: 14.300 or permission of instructor Acad Year 2024-2025: Not offered Acad Year 2025-2026: G (Spring) 4-0-8 units

Provides an introduction to the labor market, how it functions, and the important role it plays in people's lives. Topics include supply and demand, minimum wages, labor market effects of social insurance and welfare programs, the collective bargaining relationship, discrimination, human capital, and unemployment. Completion of or concurrent enrollment in 14.03 or 14.04 , and 14.32 recommended. Students taking graduate version complete additional assignments.

14.661 Labor Economics I

Subject meets with 14.661A Prereq: 14.32 and ( 14.03 or 14.04 ) G (Fall) 5-0-7 units

A systematic development of the theory of labor supply, labor demand, and human capital. Topics include wage and employment determination, turnover, search, immigration, unemployment, equalizing differences, and institutions in the labor market. Particular emphasis on the interaction between theoretical and empirical modeling. No listeners.

D. Acemoglu, J. Angrist, P. Pathak

14.661A Labor Economics I

Subject meets with 14.661 Prereq: 14.32 and ( 14.03 or 14.04 ) G (Fall) 5-0-7 units

Covers the same material as 14.661 but in greater depth. Additional assignments required. Limited to economics PhD students who wish to declare a major field in labor economics.

14.662 Labor Economics II

Subject meets with 14.662A Prereq: 14.32 and ( 14.03 or 14.04 ) G (Spring) 5-0-7 units

Theory and evidence on the determinants of earnings levels, inequality, intergenerational mobility, skill demands, and employment structure. Particular focus on the determinants of worker- and firm-level productivity; and the roles played by supply, demand, institutions, technology and trade in the evolving distribution of income.

D. Autor, S. Jaeger

14.662A Labor Economics II

Subject meets with 14.662 Prereq: 14.32 and ( 14.03 or 14.04 ) G (Spring) 5-0-7 units

Covers the same material as 14.662 but in greater depth. Additional assignments required. Limited to economics PhD students who wish to declare a major field in labor economics.

Economic History

14.70[j] medieval economic history in comparative perspective.

Same subject as 21H.134[J] Prereq: None U (Spring) 3-0-9 units. HASS-S; CI-H

See description under subject 21H.134[J] .

Economic Development

14.73 the challenge of world poverty.

Prereq: None U (Fall) 4-0-8 units. HASS-S; CI-H

Designed for students who are interested in the challenge posed by massive and persistent world poverty. Examines extreme poverty over time to see if it is no longer a threat, why some countries grow fast and others fall further behind, if growth or foreign aid help the poor, what we can do about corruption, if markets or NGOs should be left to deal with poverty, where to intervene, and how to deal with the disease burden and improve schools.

E. Duflo, F. Schilbach

14.74 Foundations of Development Policy

Subject meets with 14.740 Prereq: 14.01 U (Fall) Not offered regularly; consult department 4-0-8 units. HASS-S

Explores the foundations of policy making in developing countries, with the goal of spelling out various policy options and quantifying the trade-offs between them. Topics include education, health, fertility, adoption of technological innovations, financial markets (credit, savings, and insurance), markets for land and labor, political factors, and international considerations (aid, trade, and multinational firms). Some basic familiarity with probability and/or statistics is useful for this class. Students taking graduate version complete additional assignments.

14.740 Foundations of Development Policy

Subject meets with 14.74 Prereq: 14.01 G (Fall) Not offered regularly; consult department 4-0-8 units

14.75 Political Economy and Economic Development

Subject meets with 14.750 Prereq: 14.01 U (Spring) 4-0-8 units. HASS-S

Explores the relationship between political institutions and economic development, covering key theoretical issues as well as recent empirical evidence. Topics include corruption, voting, vote buying, the media, and war. Discusses not just what we know on these topics, but how we know it, covering how to craft a good empirical study or field experiment and how to discriminate between reliable and unreliable evidence.  Some basic familiarity with probability and/or statistics is useful for this class.  Students taking graduate version complete additional assignments.

A. Banerjee, B. Olken

14.750 Political Economy and Economic Development

Subject meets with 14.75 Prereq: 14.01 G (Spring) 4-0-8 units

Explores the relationship between political institutions and economic development, covering key theoretical issues as well as recent empirical evidence. Topics include corruption, voting, vote buying, the media, and war. Discusses not just what we know on these topics, but how we know it, covering how to craft a good empirical study or field experiment and how to discriminate between reliable and unreliable evidence. Some basic familiarity with probability and/or statistics is useful for this class.  Students taking graduate version complete additional assignments.

14.76 Firms, Markets, Trade and Growth

Subject meets with 14.760 Prereq: 14.01 and ( 14.30 or permission of instructor) U (Spring) 4-0-8 units. HASS-S

Examines how industrial development and international trade have brought about rapid growth and large-scale reductions in poverty for some developing countries, while globalization has simply increased inequality and brought little growth for others. Also considers why, in yet other developing countries, firms remain small-scale and have not integrated with global supply chains. Draws on both theoretical models and empirical evidence to better understand the reasons for these very different experiences and implications for policy. Students taking graduate version complete additional assignments.

D. Atkin, D. Donaldson

14.760 Firms, Markets, Trade and Growth

Subject meets with 14.76 Prereq: 14.01 and ( 14.30 or permission of instructor) G (Spring) 4-0-8 units

14.770 Introduction to Collective Choice and Political Economy

Broad introduction to political economy. Covers topics from social choice theory to political agency models, including theories of voter turnout and comparison of political institutions.

A. Banerjee, B. Olken, A. Wolitzky

14.771 Development Economics: Microeconomic Issues

Prereq: 14.121 and 14.122 G (Fall) 5-0-7 units

A rigorous introduction to core micro-economic issues in economic development, focusing on both key theoretical contributions and empirical applications to understand both why some countries are poor and on how markets function differently in poor economies. Topics include human capital (education and health); labor markets; credit markets; land markets; firms; and the role of the public sector.

E. Duflo, B. Olken

14.772 Development Economics: Macroeconomics

Prereq: 14.121 and 14.451 G (Spring) 5-0-7 units

Emphasizes dynamic models of growth and development. Topics include migration, modernization, and technological change; static and dynamic models of political economy; the dynamics of income distribution and institutional change; firm structure in developing countries; development, transparency, and functioning of financial markets; privatization; and banks and credit market institutions in emerging markets. Examines innovative yet disruptive digital technologies, including blockchain, digital assets, crypto currency, distributed ledgers, and smart contracts.

D. Atkins, A. Banerjee, R. Townsend

14.773 Political Economy: Institutions and Development

Economists and policymakers increasingly realize the importance of political institutions in shaping economic performance, especially in the context of understanding economic development. Work on the determinants of economic policies and institutions is in its infancy, but is growing rapidly. Subject provides an introduction to this area. Topics covered: the economic role of institutions; the effects of social conflict and class conflict on economic development; political economic determinants of macro policies; political development; theories of income distribution and distributional conflict; the efficiency effects of distributional conflict; the causes and consequences of corruption; the role of colonial history; and others. Both theoretical and empirical approaches discussed. Subject can be taken either as part of the Development Economics or the Positive Political Economy fields.

D. Acemoglu, A. Banerjee, J. Moscona

14.775 Comparing Societies (New)

Studies the cultural, social, and institutional foundations of societies around the world, emphasizing fundamentals and mechanisms that are outside the scope of traditional models in economics. Topics include social organization, perceptions of reality (e.g., the spiritual and meta-human world), drivers of innovation and technology diffusion, conflict, determinants of fertility and population growth, moral frameworks (e.g., views about right/wrong, fairness, equality, and community membership), religion, objectives and definitions of success, and societal equilibria. Emphasizes how research ranging from economic theory to development and policy design can benefit from an understanding of these vast differences that exist around the world. Also considers how these differences affect and are affected by culture, formal institutions, and development. Open to PhD students.

J. Moscona, N. Nunn, J. Robinson

14.78[J] Shaping the Future of Technology: From Early Agriculture to Artificial Intelligence

Same subject as 15.238[J] Prereq: None Acad Year 2024-2025: Not offered Acad Year 2025-2026: U (Spring) 4-0-8 units. HASS-S; CI-H

Provides a framework for thinking about major technological transitions over the past 12,000 years as a means to explore paths to a better future. Discusses who gains or loses from innovation and who can shape the future of artificial intelligence, biotech, and other breakthroughs. Introduces major questions tackled by researchers and relevant to economic policy through faculty lectures, interactive events with prominent guests, and group work. Instruction and practice in oral and written communication provided.

D. Acemoglu, S. Johnson

14.THG Graduate Thesis

Prereq: Permission of instructor G (Fall, IAP, Spring, Summer) Units arranged Can be repeated for credit.

Program of research and writing of thesis; to be arranged by the student with advising committee.

14.THU Thesis

Prereq: 14.33 U (Fall, IAP, Spring, Summer) Units arranged Can be repeated for credit.

Program of research and writing of thesis.

14.UR Undergraduate Research

Prereq: 14.02 U (Fall, IAP, Spring, Summer) Units arranged [P/D/F] Can be repeated for credit.

Participation in research with an individual faculty member or research group, independent research or study under the guidance of a faculty member. Admission by arrangement with individual faculty member.

14.URG Undergraduate Research

Prereq: 14.02 U (Fall, IAP, Spring, Summer) Units arranged Can be repeated for credit.

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Data, Economics, and Design of Policy

77 Massachusetts Avenue Building E19-201 Cambridge MA, 02139

617-324-6566 [email protected]

Website: Data, Economics, and Design of Policy

Application Opens: December 2

Deadline: January 13 at 11:59 PM Eastern Time

Fee: $90.00

Terms of Enrollment

Spring Term (January)

Master of Applied Science in Data, Economics, and Design of Policy

Affiliated Departments

Standardized tests.

Graduate Record Examination (GRE)

• Not required

International English Language Testing System (IELTS)

• Minimum score required: 7
• Electronic scores send to: MIT Graduate Admissions

Test of English as a Foreign Language (TOEFL)

• Minimum score required: 100 (iBT) 600 (PBT)
• Institute code: 3514

Waiver of TOEFL/IELTS may be available.

Financial Support

As the program does not guarantee funding, it is the expectation that some students may have to utilize their own funds or loans, should they decide to enroll with DEDP. We are happy to provide any additional information that might be helpful to make an admissions decision and look into various funding sources.

Please see DEDP’s Funding Opportunities page for further information on opportunities for financial support.

Application Requirements

• Online application
• Personal statement
• Research statement**
• Two letters of recommendation
• Transcripts***
• English proficiency exam scores
• MITx MicroMasters credential in Data, Economics, and Design of Policy

Personal Statement: In your personal statement, please explain why you are a good candidate for graduate school. You should describe why you wish to attend graduate school, what you would like to study, and any research experience you have. Describe one or more accomplishments you are particularly proud of that suggest that you will succeed in your chosen area of research.

Research Statement: In your research statement, present a research topic that you could imagine pursuing during your summer capstone project. Describe the motivation, research question, your methodological approach, and the data you would use to answer the question. Describe how the study will contribute to the field of development economics. (Note that you do not need to complete a full research study during your summer capstone project.)

Transcripts: Transcripts are required for any previous university-level coursework for all applicants. Although official transcripts are not required at the time of applying, they will be required from admitted students in order to enroll in the program.

Special Instructions

All students must first successfully complete the online  MITx MicroMasters  credential at their own pace before applying to MIT for the DEDP master’s program. The MicroMasters credential requires learners to pass five rigorous online courses, along with accompanying proctored exams for each course. The semester-long MicroMasters courses are open to learners around the world.

Fee waivers may be available on a limited basis for applicants who qualify. Please see the DEDP website for more information.

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Berkeley Research Group, LLC

2025 fall associate- economics and data analytics.

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The Associate position is a full-time entry level consulting staff position. Associate positions are for candidates with an expected graduation date between December 2024 and July 2025.

This job will remain open until September 13, 2024 and resumes will be reviewed on a rolling basis.

Berkeley Research Group (BRG) is a global consulting firm that helps its clients, which consist of leading organizations and businesses, advance in three key areas: disputes and investigations, corporate finance, and performance improvement and advisory. We are an integrated group of experts, industry leaders, academics, data scientists, and economists, working beyond borders and disciplines. We harness our collective expertise to deliver the inspired insights and practical strategies our clients need to stay ahead of what’s next.

Associate positions are available in BRG’s Economics, Disputes & Investigations (EDI) Community, Clinical Economics (CE), Health Analytics Practice (HAP), and Healthcare Performance Improvement Analytics (HPI Analytics). These communities are comprised of a diverse collection of experts who bring extensive academic and industry experience to deliver data driven and innovative approaches to complex business, legal, and regulatory challenges. These communities interact to deliver unique and insightful perspectives to our clients across various industries. Candidates can select a preferred area as part of the application process. Further information on each consulting opportunity includes:

Economics, Disputes & Investigations (EDI) – Our core strength is the ability to leverage a variety of different backgrounds – including economists, statisticians, accountants, and financial professionals – to analyze complex business, legal, and regulatory issues. We look for our Associates to use and further develop their economic research abilities as well as their analytical and statistical skills on cases spanning a wide range of subjects, including antitrust, accounting, competition policy, class actions, intellectual property, labor and employment, among others.

Clinical Economics (CE) – Our core strength is our ability to harness and unlock the power of information generated in the healthcare system. We regularly leverage financial, clinical, operations, and survey data maintained by payers, providers, manufacturers, and government entities to develop solutions to our clients’ most pressing issues. Our experts have decades of experience and specialize in areas such as healthcare policy, finance, care delivery and clinical economics, reimbursement, operations, regulatory compliance, and health data and data management.

Healthcare Analytics Practice (HAP) – Our core strength is the ability to harness and analyze large amounts of electronic healthcare data and turn it into meaningful and insightful information. Healthcare companies trust our independent thinking and ability to solve unstructured problems. We serve a range of healthcare clients including health insurers, providers, life sciences companies, and the legal and financial firms that work within the industry. Associates can implement research skills and complex data analytics techniques on cases for a variety of healthcare clients.

Healthcare Performance Improvement Analytics (HPI Analytics) – Our core strength is providing measurable and sustainable results to our clients, including standalone community hospitals, multihospital health systems, and major academic medical centers. Our data focused approach to performance improvement helps hospitals transform their organizations and significantly improve their margins, with strategies that emphasize rapid results and considerable return on investment.  Our team specializes in performing advanced analytics on client datasets. We design and deliver innovative visual dashboards that provide valuable insights and support our clients’ strategic initiatives.

Responsibilities

The work of an Associate can have quantitative and qualitative aspects, depending on the needs of specific projects and the Associate’s skills and interests. Projects range from subject matter research to data collection to the preparation of economic, statistical, financial, and other forms of analysis. Associates should be able to work as part of a team to assemble compelling evidence from data and research that forms the basis for our expert opinions.

General Responsibilities:

• Review data sets and qualitative materials to understand the unique requirements and issues involved in complex projects.
• Perform detailed research on topics relevant to a matter.
• Participate in a team environment and work to meet deadlines and quality expectations.
• Apply critical thinking skills.
• Interact with senior staff, experts, and clients to clearly communicate findings and economic concepts.
• Demonstrate creativity and efficient analytical skills to develop novel solutions tailored to unique projects.
• Audit both own work product and work product of others to assure quality.
• Possess strong organizational, verbal, and written communication skills.
• Provide valuable contributions to client deliverables and expert reports.
• Develop and maintain electronic databases, spreadsheets and other files as dictated by project needs.

Quantitative Aspects:

• Identify and collect data from a variety of sources to serve the unique needs of a project.
• Develop, maintain, and analyze databases, spreadsheets and other files as dictated by project needs.
• Combine programming, model building, and statistical analysis skills using relational database and statistical software with economic intuition to analyze a variety of subjects. Use software such as SQL, R, Stata, SAS, Python, or Snowflake.

Qualitative Aspects:

• Gather and review information from academic literature, legal documents, specialized industry resources, commercial databases, or other sources appropriate for the unique requirements of a project.
• Summarize and communicate results of your research.
• Produce well-reasoned analysis for a variety of cases and/or projects across industries.

Qualifications

• Master’s or bachelor’s degree in economics, mathematics, data science, statistics, accounting, finance, healthcare administration or related fields.
• 3.5 GPA or higher.
• Exceptional verbal and written communication skills.
• 0–2 year of experience, including internships.
• This position requires a highly motivated problem solver with strong analytical ability and a desire to advance within an organization.
• Proven capability with MS Excel.
• Experience with relational database program(s) (e.g., MS SQL Server, SAS, MS Access, Tableau, Alteryx, MS Access, MySQL, Oracle, Snowflake or Teradata) is desirable but not required. The willingness to expand those capabilities is desirable.
• Experience with statistical analysis programs (e.g., R, Stata, SAS, Python, SPSS) is desirable but not required. The willingness to expand exposure to these tools is desirable.
• Desire to work within a team environment.

With the exception of the HPI Analytics role, which is fully remote, this position is based in one of BRG’s offices and requires working with colleagues in the office three to four days a week, on average. The office location varies for each of the communities listed above:

Clinical Economics (CE) – Baltimore, MD

Economics, Disputes & Investigations (EDI) – Washington, D.C., with limited openings in Los Angeles, New York, and the San Francisco Bay (Emeryville) area

Healthcare Analytics Practice (HAP) – Washington, D.C., with limited openings in New York, Boston, and Tampa

Healthcare Performance Improvement Analytics (HPI Analytics) –Remote

Salary Range : $75,000 – $100,000

Candidate must be able to submit verification of his/her legal right to work in the United States, without company sponsorship now or in the future.

BRG was named a 2024 Campus Forward Award Winner for Large Early Career Programs by Ripplematch. This award recognizes excellence in early career hiring, celebrating programs that embrace innovative recruitment strategies, make significant investments in diversity and inclusion, and support the next generation of talent through impactful internships and entry-level programs.

BRG is a recipient of the Human Rights Campaigns Equality 100 Award for our LGBTQ+ corporate policies, practices and beliefs.

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Global Economics & Management

Global Economics & Management (GEM) is an explicitly interdisciplinary group that includes faculty with backgrounds in economics, political science, sociology, finance, and strategy. The group's research and teaching focuses on the global business environment through a range of disciplines — including macroeconomic, institutional, and strategic perspectives — and the strategy and organization of firms operating internationally. Both aspects focus on a wide range of business enterprises, ranging from entrepreneurial and start-up firms to established multinational corporations.

At present, GEM does not offer admit students into the PhD Program, but does offer a “late stage” substantive focus for students enrolled in disciplinary groups such as Organization Studies or Economic Sociology. Students interested in a GEM substantive focus within such research groups are encouraged to apply to the program of choice mentioning explicitly your interest in GEM, and indicate GEM as a secondary research group on your application.

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Dimitris Bertsimas Appointed Vice Provost for Open Learning

Dear members of the MIT community,

I write to announce that, beginning September 1,  Dimitris Bertsimas PhD '88 will be the Institute’s new Vice Provost for Open Learning . Dimitris, who is the Boeing Leaders for Global Operations Professor of Management, will be responsible for working with our community and the Open Learning team to advance Open Learning’s mission. I am thrilled that Dimitris has agreed to serve the Institute in this capacity.

An impressive record of service and impact

Since earning his PhD in operations research and applied mathematics from MIT in 1988, Dimitris has been a member of the MIT Sloan faculty working in the areas of optimization and machine learning and associated applications, including in health care and medicine. Dimitris served as co-director of the Operations Research Center from 2006 to 2019, during which time he developed and launched the master of business analytics program. This program annually receives more than 1,000 applications for 80 positions and has maintained the top spot in global rankings since its inception.

Dimitris is also the innovator behind “Analytics Edge,” an MITx course that has attracted hundreds of thousands of online learners. Passionate about teaching, research, entrepreneurship, and especially working with doctoral students, Dimitris has supervised 97 completed doctoral theses. He is a member of the National Academy of Engineering and a recipient of numerous research and teaching awards, including  the John von Neumann theory prize from INFORMS . Finally, Dimitris’s work extends beyond the Institute to industry: he is the co-founder of ten analytics companies.

Vice provost for open learning role

As the Vice Provost for Open Learning, Dimitris will work with faculty and staff across MIT to shape Open Learning’s next chapter. He will oversee Open Learning’s product offerings – including OpenCourseWare, MITx courses, MicroMasters programs, xPRO courses, MIT Horizon, the Jameel World Education Lab, MIT pK–12, and others – as well as Open Learning’s infrastructure, finances, and operations.

Dimitris will be a member of my leadership team as well as Academic Council, and he will work closely with the school and college deans, faculty, and staff to advance research into the science of learning with the goal of innovating, studying, and scaling up digital technologies on campus and for the benefit of the world.

With appreciation

I’d like to express deep appreciation to Eric Grimson for his two years at the helm as interim Vice President for Open Learning. Among his many accomplishments, he recruited and appointed talented faculty to Open Learning, expanded outreach to and partnerships with the schools and the college, developed platforms to share MIT’s learning with the world, and advanced research examining AI’s impact on education. After September 1, Eric will return full time to his role as Chancellor for Academic Advancement.

I am also grateful to the search advisory group chair Duane Boning and the group’s members for leading a thoughtful and extensive search process. Their work informed my decision to select Dimitris. They believe he will “get big things done,” which is exactly what I think we need in a moment when AI is driving rapid transformations in education.

Please join me in congratulating and thanking Dimitris for taking on this next chapter of leadership and service to MIT.

Cynthia Barnhart Provost

Members of the Vice Provost for Open Learning Search Advisory Group

Duane Boning, Clarence J. LeBel Professor in Electrical Engineering and Computer Science

Dimitris Bertsimas,* Boeing Leaders for Global Operations Professor of Management

Parag Pathak, Class of 1922 Professor of Economics

Albert Saiz, Daniel Rose Associate Professor of Urban Economics and Real Estate

Susan Silbey, Leon and Anne Goldberg Professor of Humanities, Sociology and Anthropology; and Professor of Behavioral and Policy Sciences, Sloan School of Management

Pawan Sinha, Professor of Vision and Computational Neuroscience

Gigliola Staffilani, Abby Rockefeller Mauzé Professor of Mathematics

Antonio Torralba, Delta Electronics Professor of Electrical Engineering and Computer Science

*Dimitris served on the committee until he was identified as a candidate.

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Risk, culture, and control

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Some people think the world is wildly unpredictable, and are glad insurance can handle the risk and uncertainty they face. Other people believe their destiny is written in the stars, and consult a daily horoscope to reveal what is in store for them.

Either way, Caley Horan has the history of these things covered.

Horan, an associate professor in MIT’s history program, studies multiple topics related to how we handle uncertainty in modern American life. Her award-winning first book, “Insurance Era,” published in 2021 by the University of Chicago Press, examined a deep tension: Insurance is a collective endeavor in certain respects but is defined in individual terms, at least by the private sector.

“I realized there was a story about insurance in the second half of the 20th century that people hadn’t really written,” Horan says. “It became important to me to tell that story, and to think about both the welfare state and private insurance.”

Currently Horan is in the midst of book project tackling another unwritten story: how astrology became a thoroughly modern, commercialized, and American pastime.

That might seem like quite a departure, but actually, Horan says, her history of astrology grew out of studying insurance history. The connecting tissue is how people themselves view uncertainty, risk, and the future.

“The forms of astrology that evolved in the U.S. over the course of the 20th century turned away from chance, which insurance seeks to cover, and instead offered a theory of causation rooted in external natural phenomena,” Horan says. “The celestial bodies and movements of stars and planets are seen as determining forces, rather than the chance-based world of risk. This creates a clear sense of causation, and of time as cyclical rather than progressing. There’s a real appetite for that.”

In both cases, Horan is uncovering how some familiar aspects of contemporary life have taken their current forms.

“The fact that everything has a history is what drew me to history as a field,” Horan says. “It’s tremendously important to have a sense of the past, and I find it endlessly interesting and exciting.”

For her research and teaching, Horan was granted tenure at MIT last year.

An open field

Horan, who grew up in Colorado, attended Stanford University, where she was a defender on the soccer team while completing a double major in history and feminist studies.

“I settled on history because it seemed like a really open field,” Horan says. “You can study anything historically. If you want to study film, art, or if you want to study insurance or astrology, you can do so as a historian.”

Horan received her BA from Stanford in 2003, then attended graduate school at the University of Minnesota, where she settled on the history of insurance as her dissertation topic and earned her PhD in 2011. She joined the MIT faculty in 2015, while working to turn her thesis into her first book.

In “Insurance Era,” Horan scrutinized high-level political dynamics as the private insurance industry sought to limit the New Deal-era expansion of the public safety net, which it regarded as a threat to its business. Horan also studied this with the lens of a cultural historian, looking at how industry advertising, for instance, portrays the decision to acquire insurance as a highly individualistic endeavor, a matter of personal prudence and savvy.

Ultimately “Insurance Era” received critical acclaim, winning the 2022 Hagley Prize for the best book in business history, and it has just been published in a new paperback edition.

Astrology and the self

At the moment, Horan is researching and writing her history of astrology — or at least the modern American version of the practice. Earlier in America, what might be called “natural astrology” appeared in almanacs with forecasts about things like the best time to plant crops, as “part of an economy that had a very agrarian nature,” Horan says.

But that economy changed, and so did astrology: Going back a bit more than century, astrology became focused on the self, and became a viable business all by itself.

“The astrology that we know today in the United States is very recent,” Horan says. “A lot of what we might today call the therapeutic nature of astrology, which is focused on the self and self-knowledge and self-understanding, is a late 19th-century development. By the 20th century, astrology becomes commercialized and part of a capitalist economy.”

Newspaper horoscope columns, for instance, date to 1930, along with the invention of “sun-sign” astrology, divided by birth dates.

“I think modern astrology has offered people, and continues to offer people, an interpretive framework for understanding identity, self, and relationships to others,  at a time when matters of work and identity have been up for grabs,” Horan says.

For her part, Horan’s own sense of identity as a historian is well-established, even as her work evolves: She will continue to pursue topics combining modern business, self-identity, uncertainty, and even health, studying those things in commercial and cultural terms. After she finishes her work on astrology in America, Horan intends to start writing about caregiver work, a growing part of the U.S. economy. And, she says, she continues to follow developments in insurance closely, with a return to that topic possible as well.

“I do feel some of the big-picture issues I have raised about insurance are very relevant,” Horan says. “That includes issues about the power we accord to private industry, how we think about collective organization, how Americans think about data and who controls their data, and how society distributes its resources, including basic insurance coverage. I think we’re heading into uncharted territory with some of these matters, and I do hope some of the questions I’ve raised continue to inform the way scholars are thinking about them.”

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