General Economics and Theory
14.00 Undergraduate Internship in Economics
 ( ,  ) 
Prereq: Permission of instructor
Units arranged [P/D/F]
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.
Staff
No textbook information available
14.000 Graduate Internship in Economics
 (, )
Prereq: Permission of instructor
Units arranged [P/D/F]
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.
Staff
No textbook information available
14.001 Design of Policy Summer Internship
( ,  , )
Prereq: Permission of department
Units: 0-1-0
 TBA.
Provides students in the DEDP Master's program the opportunity to synthesize their coursework and professional experience in policy, 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 or public policy sectors. 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.
S. Ellison
No textbook information available
14.003 Microeconomic Theory and Public Policy
(, )
(Subject meets with 14.03)
Prereq: 14.01 or permission of instructor
Units: 4-0-8
Lecture: MW10.30-12 (32-124) Recitation: F9 (E52-164) or F10 (E51-057) +final
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.
Fall: D. Autor
Spring: P. Scott
No textbook information available
14.009 Economics and Society's Toughest Problems
 ()
Prereq: None
Units: 1-0-2 [P/D/F]
URL: http://economics.mit.edu/under/economics
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.
Consult Department Headquarters
14.01 Principles of Microeconomics
(, ) 
Prereq: None
Units: 3-0-9
Lecture: MW11 (32-123) Recitation: F10 (6-120) or F11 (4-163) or F12 (4-163) or F1 (4-163) +final
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.
Fall: J. Gruber
Spring: N. Agarwal
No textbook information available
14.02 Principles of Macroeconomics
(, )
Prereq: None
Units: 3-0-9
Lecture: MW2 (54-100) Recitation: F1 (4-237) or F2 (4-237)
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 of and policy responses to financial crises, the burden of the national debt, and the government policies that affect long-term growth in living standards. Lectures are recorded and available for students with scheduling conflicts.
Fall: J. Poterba
Spring: R. Caballero
Textbooks (Fall 2025)
14.03 Microeconomic Theory and Public Policy
(, )
(Subject meets with 14.003)
Prereq: 14.01 or permission of instructor
Units: 4-0-8
Lecture: MW10.30-12 (32-124) Recitation: F9 (E52-164) or F10 (E51-057) +final
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.
Fall: D. Autor
Spring: P. Scott
No textbook information available
14.04 Intermediate Microeconomic Theory
()
Prereq: Calculus II (GIR) and 14.01
Units: 4-0-8
Lecture: TR10.30-12 (E51-361) Recitation: F3 (E51-376) +final
Features economic science, the utilization of theory and evidence. Presents mechanism design, general equilibrium theory, the welfare theorems, their failure with resolutions, and the role of the public sector. Examines applications from developing and developed economies. Special attention given to technological change, including recent innovations such as blockchain, distributed ledgers, and smart contracts. Discusses the optimal allocation of risk, contract theory, improvements in financial and information infrastructure, and optimized exchange and contracting platforms.
R. Townsend
No textbook information available
14.05 Intermediate Macroeconomics
()
Prereq: 14.01 and (14.02 or permission of instructor)
Units: 4-0-8
Lecture: MW1-2.30 (E51-057) Recitation: F10 (E51-395)
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.
C. Wolf
No textbook information available
14.06 Advanced Macroeconomics
()
Not offered regularly; consult department
Prereq: 14.01 and 14.02
Units: 4-0-8
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.
Staff
14.08 Technical Topics in Economics
(, )
Prereq: 14.01
Units: 4-0-8
TBA.
Considers technical issues of current research interest in economics.
G. King
No required or recommended textbooks
14.09 Reading Seminar in Economics
(, , , )
Prereq: 14.04 and 14.06
Units arranged [P/D/F]
TBA.
Reading and discussion of particular topics in economics. Open to undergraduate students by arrangement with individual faculty members. Consult Department Headquarters.
D. Donaldson
No textbook information available
14.10 Reading Seminar in Economics
(, , , )
Prereq: 14.04 and 14.06
Units arranged
TBA.
Reading and discussion of particular topics in economics. Open to undergraduate students by arrangement with individual faculty members. Consult Department Headquarters.
D. Donaldson
No textbook information available
14.11 Topics in Economics
()
Not offered regularly; consult department
Prereq: 14.01
Units: 4-0-8
Considers issues of current research interest in economics.
Staff
14.12 Economic Applications of Game Theory
()
Prereq: 14.01 and (6.041B, 14.04, 14.30, 18.05, or permission of instructor)
Units: 4-0-8
Lecture: TR10.30-12 (4-237) Recitation: F10 (E51-376) or F2 (E51-361) or F3 (E51-361) +final
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.
I. Ball
No required or recommended textbooks
14.121 Microeconomic Theory I
(); first half of term
Prereq: 14.04 and permission of instructor
Units: 3-0-3
Ends Oct 17. Lecture: MW1-2.30 (E51-151) Recitation: F1-2.30 (E51-151)
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.
P. Pathak
No textbook information available
14.122 Microeconomic Theory II
(); second half of term
Prereq: 14.121 and permission of instructor
Units: 3-0-3
Begins Oct 20. Lecture: MW1-2.30 (E51-151) Recitation: F1-2.30 (E51-151) +final
Introduction to game theory. Topics include normal form and extensive form games, and games with incomplete information. Enrollment limited.
G. Ellison
No textbook information available
14.123 Microeconomic Theory III
(); first half of term
Prereq: 14.121, 14.122, and permission of instructor
Units: 3-0-3
Models of individual decision-making under certainty and uncertainty. Additional topics in game theory. Enrollment limited.
D. Fudenberg
14.124 Microeconomic Theory IV
(); second half of term
Prereq: 14.123 or permission of instructor
Units: 3-0-3
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
Units: 4-0-8
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.
P. Pathak, V. Bhattacharya
14.126 Game Theory
()
Prereq: 14.122
Units: 3-0-9
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, M. Yildiz
14.127 Advanced Game Theory
()
Prereq: None
Units: 4-0-8
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
Units: 3-0-3
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.
R. Townsend
14.13 Psychology and Economics
()
(Subject meets with 14.131)
Prereq: 14.01
Units: 4-0-8
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
Units: 2-0-10
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.
D. Fudenberg
14.131 Psychology and Economics
()
(Subject meets with 14.13)
Prereq: 14.01
Units: 4-0-8
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
14.137[J] Psychology and Economics
()
(Same subject as 9.822[J])
Prereq: None
Units: 4-0-8
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.
D. Prelec
14.147 Topics in Game Theory
()
Prereq: 14.126
Units: 4-0-8
Lecture: MW1-2.30 (E51-393) Recitation: F1-2.30 (E51-385)
Advanced subject on topics of current research interest. First half emphasizes information in dynamic games. Second half focuses on learning and some of the associated probability theory, including proofs of some of the theorems used in the first half.
A. Wolitzky, D. Fudenberg
No textbook information available
14.15[J] Networks
()
(Same subject as 6.3260[J])
(Subject meets with 14.150)
Prereq: 6.3700 or 14.30
Units: 4-0-8
Lecture: MW2.30-4 (E51-145) Recitation: F3 (E51-149)
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.
A. Wolitzky
No textbook information available
14.150 Networks
()
(Subject meets with 6.3260[J], 14.15[J])
Prereq: 6.3700 or 14.300
Units: 4-0-8
TBA.
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.
A. Wolitzky
No textbook information available
14.16 Strategy and Information
()
(Subject meets with 14.161)
Prereq: 14.01 or permission of instructor
Units: 4-0-8
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.
I. Ball, M. Yildiz
14.160 Behavioral Economics
()
Prereq: 14.122
Units: 4-0-8
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
Units: 4-0-8
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.
I. Ball, M. Yildiz
14.163 Algorithms and Behavioral Science
()
Prereq: (14.122 and 14.381) or permission of instructor
Units: 4-0-8
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
14.164 Foundations of Behavioral Economics
(New)
()
Prereq: None
Units: 4-0-8
Lecture: TR2.30-4 (E51-372) Recitation: F12 (E51-361)
Presents the core concepts of behavioral economics, including: key models and theories, how to run a mechanism experiment in the field and online, and how to effectively read the psychology literature and bring key insights into economics. Models and theories covered include, but are not limited to: non-standard preferences (such as social preferences; reference-dependence; temptation, self-control, and quasi-hyperbolic preferences), non-standard beliefs (selective attention, selective memory, and misspecification; failures of contingent reasoning), and non-standard decision-making (anchoring, complexity aversion, imitation heuristics).
D. Fudenberg, F. Schilbach
No textbook information available
14.18 Mathematical Economic Modeling
()
Prereq: 14.04, 14.12, 14.15, or 14.19
Units: 4-0-8
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.
M. Yildiz
14.19 Market Design
()
Prereq: 14.01
Units: 4-0-8
Lecture: MW2.30-4 (E25-111) Recitation: F12 (E51-376) or F1 (E51-361) +final
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.
P. Pathak
No textbook information available
14.191 Independent Research Paper
(, , , )
Prereq: Permission of instructor
Units: 0-12-0
TBA.
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.
I. Andrews
No textbook information available
14.192 Advanced Research and Communication
(, , )
Prereq: 14.124, 14.382, and 14.454
Units: 2-4-6 [P/D/F]
Lecture: R9-10.30 (E52-432)
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.
Fall: A. Banerjee, A. Finkelstein
IAP: A. Banerjee, A. Finkelstein
Spring: A. Banerjee, A. Finkelstein
No textbook information available
14.193 Advanced Seminar in Economics
(, , ) ; first half of term
Prereq: 14.121 and 14.451
Units arranged
14.193: TBA.
Reading and discussion of current topics in economics. Open to advanced graduate students by arrangement with individual members of the staff.
Fall: Consult Department headquarters
Spring: R. Townsend
Summer: J. Tirole
14.193: No textbook information available
Summer 2025 Description for Advanced Seminar in Economics
Prereq:14.121 and 14.451
Units: 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.
J. Tirole
Section: MWF 9:30 AM - 12:00 PM E51-395 From 07-JUL-25 Thru 01-AUG-25
14.193: No textbook information available
14.194 Seminar: Topics in Economics
(New)
(, , , )
Prereq: None
Units arranged [P/D/F]
TBA.
Reading and discussion of special topics in economics. Topics may vary from year to year. Open to DEDP students.
Fall: Consult Department Headquarters
IAP: Consult Department Headquarters
Spring: S. Ellison
Summer: Consult Department Headquarters
No textbook information available
14.195 Reading Seminar in Economics
(, , )
Prereq: 14.121
Units arranged [P/D/F]
14.195: TBA.
Reading and discussion of current topics in economics. Open to advanced graduate students by arrangement with individual members of the staff.
I. Andrews
14.195: No textbook information available
14.196 Topics in Economics
(New)
(, )
Prereq: 14.121
Units arranged
TBA.
Reading and discussion of special topics in economics. Open to advanced graduate students.
Fall: Consult Department Headquarters
Spring: Consult Department Headquarters
No textbook information available
14.197 Independent Research
(, , , )
Prereq: None
Units arranged [P/D/F]
TBA.
Under guidance from a faculty member approved by Graduate Registration Officer, student conducts independent research.
I. Andrews
No textbook information available
14.198, 14.199 Teaching Introductory Economics
(, )
Prereq: None
Units: 2-0-2 [P/D/F]
14.198: TBA.
14.199: TBA.
Required of teaching assistants in introductory economics (14.01 and 14.02), under guidance from the faculty member in charge of the subject.
Fall: Consult Department Headquarters
Spring: Consult Department Headquarters
14.198: No textbook information available
14.199: No required or recommended textbooks
14.281 Contract Economics
()
Prereq: 14.124 or permission of instructor
Units: 4-0-8
Lecture: TR2.30-4 (E51-361) Recitation: F10.30-12 (E51-361) +final
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
Textbooks (Fall 2025)
Industrial Organization
14.20 Industrial Organization: Competitive Strategy and Public Policy
()
(Subject meets with 14.200)
Prereq: 14.01
Units: 4-0-8
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.
N. Rose
14.200 Industrial Organization: Competitive Strategy and Public Policy
()
(Subject meets with 14.20)
Prereq: 14.01
Units: 4-0-8
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.
N. Rose
14.27 Economics of Digitization
()
(Subject meets with 14.270)
Prereq: 14.01 and (6.3700 or 14.30)
Units: 4-0-8
Uses theoretical economic models and empirical evidence to help understand the past and likely future impacts that digitization has had on legacy markets and institutions. These models help frame class discussions on e-commerce, search, online advertising, traditional and social media, privacy, platform design, and distance learning, among other topics. Students complete a project, and those taking the graduate version have additional assignments.
S. Ellison
14.270 Economics of Digitization
()
(Subject meets with 14.27)
Prereq: 14.01 and (6.3700 or 14.30)
Units: 4-0-8
Uses theoretical economic models and empirical evidence to help understand the past and likely future impacts that digitization has had on legacy markets and institutions. These models help frame class discussions on e-commerce, search, online advertising, traditional and social media, privacy, platform design, and distance learning, among other topics. Students complete a project, and those taking the graduate version have additional assignments.
S. Ellison
14.271 Industrial Organization I
()
Prereq: None. Coreq: 14.122 and 14.381
Units: 5-0-7
Lecture: MW9-10.30 (E51-395) Recitation: F9-10.30 (E51-361) +final
Covers theoretical and empirical work dealing with the market structure, firm behavior, and consumer outcomes in imperfectly competitive markets. Topics include: monopoly, price discrimination, product differentiation, consumer search, dynamic oligopoly, entry, platforms, auctions, bounded rationality, and online markets. Theoretical and empirical work are integrated in each area.
G. Ellison
No textbook information available
14.272 Industrial Organization II
()
Prereq: 14.271
Units: 5-0-7
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
14.273 Advanced Topics in Industrial Organization
()
Prereq: 14.271
Units: 5-0-7
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
Units: 4-0-8
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.
R. Gibbons
14.260 Organizational Economics
()
(Subject meets with 14.26[J], 15.039[J])
Prereq: None
Units: 4-0-8
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.
R. Gibbons
14.282 Introduction to Organizational Economics
()
Prereq: 14.124
Units: 5-0-7
Lecture: TR1-2.30 (E62-550) Recitation: F2.30-4 (E62-550)
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
No textbook information available
14.283 Advanced Topics in Organizational Economics I
(); first half of term
Prereq: 14.282
Units: 2-0-4
Builds on the work done in 14.282 to develop more in-depth analysis of topics in the field.
R. Gibbons, C. Angelucci
14.284 Advanced Topics in Organizational Economics II
(); second half of term
Prereq: 14.282
Units: 2-0-4
Builds on the work done in 14.282 to develop more in-depth analysis of topics in the field.
C. Angelucci, R. Gibbons
Statistics and Econometrics
14.30 Introduction to Statistical Methods in Economics
() 
(Subject meets with 14.300)
Prereq: Calculus II (GIR)
Units: 4-0-8
Lecture: TR1-2.30 (E51-372) Recitation: F2 (E51-395) +final
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.
A. Abadie
No textbook information available
14.300 Introduction to Statistical Methods in Economics
()
(Subject meets with 14.30)
Prereq: Calculus II (GIR)
Units: 4-0-8
Lecture: TR1-2.30 (E51-372) Recitation: F2 (E51-395) +final
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.
A. Abadie
No textbook information available
14.310 Data Analysis for Social Scientists
()
Not offered regularly; consult department
Prereq: None
Units: 4-0-8
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.
Staff
14.32 Econometric Data Science
(, ) 
(Subject meets with 14.320)
Prereq: 14.30, 15.069, or 18.650
Units: 4-4-4
Lecture: MW1-2.30 (E25-111) Recitation: F2 (E25-111) +final
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.
Fall: A. Mikusheva
Spring: P. Scott
No textbook information available
14.320 Econometric Data Science
(, )
(Subject meets with 14.32)
Prereq: 14.300, 15.069, or 18.650
Units: 4-4-4
Lecture: MW1-2.30 (E25-111) Recitation: F2 (E25-111) +final
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.
Fall: A. Mikusheva
Spring: P. Scott
No textbook information available
14.33 Research and Communication in Economics: Topics, Methods, and Implementation
(, )
Prereq: 14.32 and (14.01 or 14.02)
Units: 3-4-5
Lecture: MW10.30-12 (E51-395)
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.
Fall: T. Salz
Spring: D. Donaldson
No textbook information available
14.35 Why Markets Fail
()
Prereq: 14.04, 14.12, 14.15, or 14.19
Units: 4-0-8
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.
N. Hendren
14.36 Advanced Econometrics
()
(Subject meets with 14.387)
Prereq: 14.32 or permission of instructor
Units: 4-0-8
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.
J. Angrist
14.38 Inference on Causal and Structural Parameters Using ML and AI
()
(Subject meets with 14.388)
Prereq: 14.32
Units: 4-0-8
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
(); first half of term
Prereq: 14.32 or permission of instructor
Units: 3-0-3
Ends Oct 17. Lecture: TR9-10.30 (E51-145) Recitation: F4-5.30 (E51-151)
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
No textbook information available
14.381 Estimation and Inference for Linear Causal and Structural Models
(); second half of term
Prereq: 14.380 and 18.06
Units: 3-0-3
Begins Oct 20. Lecture: TR9-10.30 (E51-145) Recitation: F4-5.30 (E51-151) +final
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.
I. Andrews
No textbook information available
14.382 Econometrics
(); first half of term
Prereq: 14.381 or permission of instructor
Units: 3-0-3
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.
V. Chernozhukov
14.383 High-Dimensional Econometrics
(); second half of term
Prereq: 14.382 or permission of instructor
Units: 3-0-3
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.
V. Chernozhukov
14.384 Time Series Analysis
()
Prereq: 14.382 or permission of instructor
Units: 5-0-7
Lecture: TR10.30-12 (E51-372) Recitation: W EVE (5.30-7 PM) (E51-361)
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
No textbook information available
14.385 Nonlinear Econometric Analysis
()
Prereq: 14.382 or permission of instructor
Units: 5-0-7
Lecture: MW1-2.30 (E51-361) Recitation: F3.30-5 (E51-395)
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, I. Andrews
No textbook information available
14.386 New Econometric Methods
()
Prereq: 14.382
Units: 4-0-8
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.
A. Abadie, A. Mikusheva
14.387 Applied Econometrics
()
(Subject meets with 14.36)
Prereq: 14.381 or permission of instructor
Units: 4-0-8
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.
J. Angrist
14.388 Inference on Causal and Structural Parameters Using ML and AI
()
(Subject meets with 14.38)
Prereq: 14.381
Units: 4-0-8
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
14.39 Large-Scale Decision-Making and Inference
()
(Subject meets with 14.390)
Prereq: 14.32
Units: 4-0-8
Lecture: TR1-2.30 (E51-376) Recitation: F2 (E51-149)
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.
I. Andrews
No textbook information available
14.390 Large-Scale Decision-Making and Inference
()
(Subject meets with 14.39)
Prereq: 14.320
Units: 4-0-8
Lecture: TR1-2.30 (E51-376) Recitation: F2 (E51-149)
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.
I. Andrews
No textbook information available
14.391 Workshop in Economic Research
()
Prereq: 14.124 and 14.454
Units: 2-0-10 [P/D/F]
Recitation: M2.30-4 (E52-324) or R4-5.30 (E51-395) or M4-5.30 (E51-151, E52-324, E52-432) or T2.30-4 (E62-650) or T4-5.30 (E52-164, E52-432) or W4-5.30 (E51-151) or R4-5.30 (E51-151) or R EVE (4-6 PM) (E51-372)
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.
I. Andrews
No textbook information available
14.392 Workshop in Economic Research
()
Prereq: 14.124 and 14.454
Units: 2-0-10 [P/D/F]
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.
Staff
14.399 Seminar in Data Economics and Development Policy
()
Prereq: Permission of instructor
Units: 2-0-10 [P/D/F]
Group study of current topics in development policy and research. Includes student presentations and invited speakers. Restricted to DEDP MASc students.
S. Ellison
For additional related subjects in Statistics, see:
Civil and Environmental Engineering: 1.151, 1.155, 1.202J, 1.203J, 1.205J
Electrical Engineering and Computer Science: 6.041, 6.231, 6.245, 6.262, 6.431, 6.432, and 6.435
Management: 15.034, 15.061, 15.065, 15.070, 15.075, 15.076, 15.098, and 15.306
Mathematics: 18.05, 18.175, 18.177, 18.440, 18.441, 18.443, 18.445, 18.458, and 18.465
See also: 2.061, 2.830, 5.70, 5.72, 7.02, 8.044, 8.08, 10.816, 11.220, 11.221, 16.322, 17.872, 17.874, 22.38, HST.191, and MAS.622J.
|
