## Results for ECON |
116 courses |

This is an introductory course in economics. We will cover both microeconomics (investigating decisions by individuals and firms) and macroeconomics (examining the economy as a whole). The primary goal is to develop and then build on your understanding of the analytical tools and approaches used by economists. This will help you to interpret economic news and economic data at a much deeper level while also forming your own opinions on economic issues. The course will also provide a strong foundation for those of you who want to continue on with intermediate microeconomics and/or intermediate macroeconomics and possibly beyond.

Terms: Aut, Win, Spr, Sum
| Units: 5
| UG Reqs: GER:DB-SocSci, WAY-SI

Instructors: ; Clerici-Arias, M. (PI); Duggan, M. (PI); Taylor, J. (PI); Quirarte, L. (GP); Tendall, M. (GP)

Should the U.S. close its border to immigrants? What are the ramifications of income inequality? How has COVID-19 changed life as we know it? Why are Americans so politically polarized? How can we address racial injustice? As the 2020 election approaches, faculty members from across Stanford will explore and examine some of the biggest challenges facing society today. Each week will be dedicated to a different topic, ranging from health care and the economy to racial injustice and challenges to democracy. Faculty with expertise in philosophy, economics, law, political science, psychology, medicine, history, and more will come together for lively conversations about the issues not only shaping this election season but also the nation and world at large. There will also be a Q&A following the initial discussion. Attendance and supplemental course readings are the only requirements for the course.

Terms: Aut
| Units: 1

Instructors: ; Abramitzky, R. (PI); Fischbacher Maldonado, E. (GP)

Interested in exploring how economics is used in professional, policy, and research settings? This course will feature weekly presentations from Stanford faculty and scholars and economists in government, non-profit, and business to demonstrate how economic analysis can be applied to a wide range of practical and policy problems. May be repeated for credit. Pre-requisites: none.

Terms: Win
| Units: 1
| Repeatable
4 times
(up to 4 units total)

Instructors: ; Makler, C. (PI)

How will artificial intelligence and machine learning reshape the economy? This course examines the prospective impact of AI on jobs, wages, inequality, industrial power, and global competition. We begin by examining the effects of previous technological revolutions (from the Industrial Revolution to the digital age) on living standards, relative power of labor and capital, and organization of economic activity. We then review the tools and methods economists use to analyze the potential consequences of AI and machine learning. We conclude by assessing priorities for government policy, including opportunities for harnessing AI to create a more prosperous and equitable society.

Terms: Win
| Units: 1

What causes financial crises? What are the keys to anticipating, preventing, and managing disruptions in the global financial system? This course prepares students to navigate future episodes as policymakers, finance professionals, and citizens by going inside the practical decisions made in an unfolding crisis, from the U.S. government and IMF to the boardroom and trading floor. Students will learn warning signs of distress; market structures that govern crisis dynamics; strategic interactions among the key actors; and lessons learned for creating a more resilient system. Concepts will be applied to real-world experiences in emerging market crises, the U.S. housing and global financial crisis, the European sovereign crisis, and as well the extraordinary fiscal and central bank responses to the COVID-19 crisis.

Terms: Spr
| Units: 1

Instructors: ; Toloui, R. (PI)

Examines the intimate relationship between environmental quality and the production and consumption of energy. Assesses the economics efficiency and political economy implications of a number of current topics in energy and environmental economics. Topics include: the economic theory of exhaustible resources, Greenhouse Gas Emissions (GHG) control (cap and trade mechanisms and carbon fees), GHG emissions offsets, the Strategic Petroleum Reserve (SPR), the "smart" transmission grid for electricity, nuclear energy and nuclear waste, the real cost of renewable energy, natural gas and coal-fired electricity production, the global coal and natural gas markets, Corporate Average Fuel Efficiency (CAFE) and Low-Carbon Fuel Standards (LCFS), Energy Efficiency Investments and Demand Response, and Carbon Capture and Sequestration (CCS). For all topics, there will be reading to explain the economics and engineering behind the topic and class discussion to clarify and elaborate on this interaction. Prerequisite: Econ 1 is recommended.

Terms: Sum
| Units: 3
| UG Reqs: WAY-SI

Instructors: ; Wolak, F. (PI)

Spending by federal, state, and local governments accounts for about one-third of U.S. GDP and governments employ more than one-in-seven workers in the U.S. For most U.S. residents, government is represented by a complicated web of federal, state, and local policies. There is an increasingly contentious debate about the proper role of the government and regarding the impact of specific government policies. This debate is rarely grounded in a common set of facts. In this seminar, we will explore how each level of government interacts with U.S. residents through government services, public programs, taxes, and regulations. We will examine financial results for different levels of government while considering the net effects of government intervention on the health and economic well-being of individuals and families. Particular attention will be paid to certain sectors (e.g. education, health care, etc.) and to certain groups (e.g. those in poverty, the elderly, etc.). Along the way we will accumulate a set of metrics to assess the performance of each level of government while highlighting the formidable challenges of such an exercise. Prerequisite: Econ 1.

Terms: Aut
| Units: 3
| UG Reqs: WAY-SI

Instructors: ; Ballmer, S. (PI); Duggan, M. (PI)

In this class we will discuss the economic and institutional causes of the rise in inequality in the US and other countries over the last 40 years. We will also discuss the consequences of inequality in terms of social justice, economic welfare, aggregate economic performance, intergenerational mobility, and the possible implications of inequality for the recent global financial crisis.

Terms: Aut
| Units: 3
| UG Reqs: WAY-SI

Instructors: ; Pistaferri, L. (PI)

We will explore the evolution and current performance of capitalist and socialist economies, their interaction with democracy, and the contemporary debate about the appropriate roles of individual vs. collective rights and responsibilities.

Terms: Spr
| Units: 3
| UG Reqs: WAY-SI

Instructors: ; Boskin, M. (PI)

The seminar will provide an introduction and discussion of the impact of public policy on personal finance. Voters regularly rate the economy as one of the most important factors shaping their political views and most of those opinions are focused on their individual bottom lines. In this course we will discuss the rationale for different public policies and how they affect personal financial situations. We will explore personal finance issues such as taxes, loans, charity, insurance, and pensions. Using the context of (hypothetical) personal finance positions, we will discuss the public policy implications of various proposals and how they affect different groups of people, for example: the implications of differential tax rates for different types of income, the promotion of home ownership in the U.S., and policies to care for our aging population. While economic policy will be the focus of much of the course, we will also examine some of the implications of social policies on personal finance as well. There will be weekly readings and several short policy-related writing assignments.

Terms: Spr
| Units: 3
| UG Reqs: WAY-SI

Instructors: ; Rosston, G. (PI)

The purpose of the class is for you to obtain greater comfort making the major financial decisions your life journey will require. Illustrative examples, case studies, historical and statistical evidence, and some simple analytical tools will be presented. We hope to help students avoid damaging mistakes in the decisions that will determine their financial flexibility and safeguard them against life's uncertainties. Students will learn how to keep more options open and to live with fewer constraints by making sound financial decisions. Topics include making a financial plan and budget, managing money, saving, investing in stocks and other assets, purchasing insurance, taxes and inflation, inheritance, financial markets and financial advisors.

Terms: Spr
| Units: 5
| UG Reqs: WAY-SI

Instructors: ; Boskin, M. (PI); Shoven, J. (PI)

The purpose of the class is to introduce you to the modern financial system. What are the major financial instruments -- bonds, bank loans and also equity - and how are their prices determined. What are the key financial institutions that lend, provide liquidity and make markets. What role does the government play through regulation, monetary policy and special intervention in crisis time. We'll devote particular attention to the payments system: how do households and firms make payments, how do financial institutions organize these payments, and how could this business change with potential entry of new digital currencies, provided by central banks or the private sector. Prerequisites: Econ 1 is recommended.

Terms: Win
| Units: 3

Two threads are interwoven: why social and economic networks have special features, and how those features shape power, opinions, opportunities, and behaviors. Some of the topics included are: the different ways in which a person's position in a network determines their influence; which systematic errors people make when forming opinions based on what they learn from others; how financial contagions work and why are they different from the spread of a flu; the role of splits in our social networks in inequality, immobility, and polarization; and how network patterns of trade and globalization have changed international conflict and wars. The course requires analyzing network data, which will be provided. No prerequisite but Econ 102A or equivalent is recommended.

Terms: Spr
| Units: 5
| UG Reqs: WAY-AQR, WAY-SI

Instructors: ; Jackson, M. (PI)

This class will apply tools from economics and related social sciences to study the functioning of media markets and their impact on society. The guiding question will be: when and how do media best serve the social good? Topics will include the economics of two-sided markets, media bias, polarization, social media, fake news, advertising, propaganda, effects of media on children, media and crime, and the role of media in corruption, protests and censorship. The course will give students a non-technical introduction to social science empirical methods, including regression analysis, causal inference, experimental and quasi-experimental methods, and machine learning.

Terms: Aut
| Units: 5
| UG Reqs: WAY-AQR, WAY-SI

Individual consumer and firm behavior under perfect competition. The role of markets and prices in a decentralized economy. Monopoly in partial equilibrium. Economic tools developed from multivariable calculus using partial differentiation and techniques for constrained and unconstrained optimization. Prerequisites: Econ 1 or 1V, and Math 51 or Math 51A or CME 100 or CME 100A.

Terms: Aut, Win, Spr, Sum
| Units: 5
| UG Reqs: GER:DB-Math, WAY-FR, WAY-SI

Instructors: ; Makler, C. (PI); Li, E. (TA); Lim, S. (TA); Loo, A. (TA); Lu, C. (TA); Matoorian pour, N. (TA); Shiao, S. (TA)

Neoclassical analysis of general equilibrium, welfare economics, imperfect competition, externalities and public goods, risk and uncertainty, game theory, adverse selection, and moral hazard. Multivariate calculus is used. Prerequisite: ECON 50.

Terms: Aut, Spr, Sum
| Units: 5
| UG Reqs: WAY-FR, WAY-SI

Instructors: ; Makler, C. (PI); Einav, L. (SI); Segal, I. (SI); Loo, A. (TA); Shiao, S. (TA); Storms, E. (TA)

Long-run economic growth and short-run economic fluctuations. Focus on the macroeconomic tools of government: fiscal policy (spending and taxes) and monetary policy, and their effects on growth, employment, and inflation. Prerequisites: ECON 50.

Terms: Win, Spr, Sum
| Units: 5
| UG Reqs: WAY-SI

Instructors: ; Auclert, A. (PI); Kehoe, P. (PI); Klenow, P. (PI); Tendall, M. (PI); Klenow, P. (SI); Dobbin, C. (TA)

Economic policy analysis, writing, and oral presentation. Topics vary with instructor. Limited enrollment. Prerequisites: Econ 51 and 52, 102B, and two field courses. Some sections require additional prerequisites.

Terms: Aut, Win, Spr
| Units: 5
| UG Reqs: WAY-SI
| Repeatable
for credit

Probabilistic modeling and statistical techniques relevant for economics. Concepts include: probability trees, conditional probability, random variables, discrete and continuous distributions, correlation, central limit theorems, point estimation, hypothesis testing and confidence intervals for both one and two populations. Prerequisite: MATH 20 or equivalent.

Terms: Aut, Win, Sum
| Units: 5
| UG Reqs: GER:DB-Math, WAY-AQR, WAY-SI

Hypothesis tests and confidence intervals for population variances, chi-squared goodness-of-fit tests, hypothesis tests for independence, simple linear regression model, testing regression parameters, prediction, multiple regression, omitted variable bias, multicollinearity, F-tests, regression with indicator random variables, simultaneous equation models and instrumental variables. Topics vary slightly depending on the quarter. Prerequisites: Econ 102A or equivalent. Recommended: computer experience (course often uses STATA software to run regressions).

Terms: Win, Spr, Sum
| Units: 5
| UG Reqs: WAY-AQR, WAY-SI

The program evaluation problem. Identifying and estimating the effects of policies on outcomes of interest (e.g., tax rates on labor supply, etc.). Identifying and estimating the effects of human capital on earnings and other labor market outcomes. Topics: Instrumental variables estimation; limited dependent variable models (probit, logit, Tobit models); Panel data techniques (fixed and random effect models, dynamic panel data models); Duration models; Bootstrap and Estimation by Simulation. Prerequisite: Econ 102B

Terms: Win
| Units: 5
| UG Reqs: WAY-AQR, WAY-SI

Instructors: ; Pistaferri, L. (PI); Pousada, B. (TA)

This course focuses on the use of econometric methods in public policy analysis and business decision-making. Building on methods taught in Economics 102A and 102B, additional descriptive, predictive and causal econometric modeling methods will be introduced along with the assumptions required for the validity of each methodology. Methods for designing randomized controlled trials (RCT) and analyzing the resulting data will be discussed. The methods for recovering economically meaningful magnitudes such as price elasticities of demand and other behavioral responses from observational data will be discussed. Both classical econometric methods and modern techniques in machine learning will be employed. The class will be taught using the R programming language. Students will perform both in-class and out-of-class assignments working with actual datasets to address policy-relevant decisions and simulation exercises designed to deepen their knowledge of these methods. Prerequisites: Econ102A, Econ102B

Terms: Aut
| Units: 5
| UG Reqs: WAY-AQR

Instructors: ; Wolak, F. (PI)

The primary course goal is for students to master the logic, intuition and operation of a financial system - money, financial markets (money and capital markets, debt and equity markets, derivatives markets), and financial institutions and intermediaries (the Central Bank, depository institutions, credit unions, pension funds, insurance companies, venture capital firms, investment banks, mutual funds, etc.). In other words, how money/capital change hands between agents over time, directly and through institutions. Material will be both quantitative and qualitative, yet always highly analytical with a focus on active learning - there will be an approximately equal emphasis on solving mathematical finance problems (e.g. bond or option pricing) and on policy analysis (e.g. monetary policy and financial regulation.) Students will not be rewarded for memorizing and regurgitating facts, but rather for demonstrating the ability to reason with difficult problems and situations with which they might not previously be familiar. Prerequisite: Econ 50, 52. Strongly recommended but not required: some familiarity with finance and statistics (e.g. Econ 135 or 140, Econ 102A)

Terms: Aut
| Units: 5
| UG Reqs: WAY-SI

The microeconomic problems and policy concerns of less developed countries. Topics include: health and education; risk and insurance; microfinance; agriculture; technology; governance. Emphasis is on economic models and empirical evidence. Prerequisites: ECON 50, ECON 102B.

Terms: Win
| Units: 5
| UG Reqs: GER:EC-GlobalCom, WAY-AQR, WAY-SI

Instructors: ; Morten, M. (PI); Zhang, S. (TA)

(Formerly IPS 224) This course explores East Asia's rapid economic development and the current economic challenges. For the purpose of this course, we will focus on China, Japan, and Korea. The first part of the course examines economic growth in East Asia and the main mechanisms. In this context, we will examine government and industrial policy, international trade, firms and business groups, and human capital. We will discuss the validity of an East Asian model for economic growth. The second part of the course focuses on the current economic challenges confronting these countries, such as, political economy, human capital, inequality, and entrepreneurship and innovation. Readings will come from books, journal articles, reports, news articles, and case studies. Many of the readings will have an empirical component and students will be able to develop their understanding of how empirical evidence is presented in articles. Prerequisites: INTPOL 301B, Polisci150A(355A), Econ 102B or equivalent courses that cover regression analysis.

Terms: Win
| Units: 3-5

Instructors: ; Lee, Y. (PI)

An introduction to the study of the financial lives of households in less developed countries, focusing on savings, credit, informal insurance, the expansion of microfinance, social learning, public finance/redistribution, and social networks. Prerequisites- Econ 51 or Publpol 51 and Econ 102B.

Terms: Spr
| Units: 5
| UG Reqs: GER:EC-GlobalCom, WAY-AQR, WAY-SI

Instructors: ; Chandrasekhar, A. (PI)

Application of economic paradigms and empirical methods to health improvement in developing countries. Emphasis is on unifying analytic frameworks and evaluation of empirical evidence. How economic views differ from public health, medicine, and epidemiology; analytic paradigms for health and population change; the demand for health; the role of health in international development. Prerequisites: ECON 50 and ECON 102B.

Terms: Spr
| Units: 5
| UG Reqs: WAY-SI

Instructors: ; Miller, G. (PI)

This is a survey course of the Chinese economy with emphasis on understanding the process of economic reform, transition and development during the past 40 years. It will help students learn the different historical stages of institutional changes, develop an informed perspective on economic and political rationale and the effectiveness of the economic policies that have shaped China's economic emergence, and think critically about the process of economic and social changes. Prerequisite: Econ 1.

Terms: Win
| Units: 4
| UG Reqs: WAY-SI

For graduate students and advanced undergraduates. This course teaches the foundations of finance. Topics include internal rate of return and net present value, Black-Scholes option pricing, portfolio diversification and the Capital Asset Pricing Model, relationships between risk and return, market efficiency, and the valuation of derivative securities. Much of the analysis will build on the Arrow-DeBreu state preference model. Next, adverse selection and moral hazard in contracting and the design of auctions will be discussed. Towards the end of the course applied topics such as bank capital regulation, sovereign debt, pension funds, university endowments, and the evaluation of private equity performance and fees will be discussed, depending on time. Prerequisites: MATH 51, ECON 50, ECON 102A, or equivalents; ability to use spreadsheets, and basic probability and statistics concepts including random variables, expected value, variance, covariance, and simple estimation and regression.

Terms: Aut
| Units: 3

Instructors: ; Bulow, J. (PI); Shi, M. (TA)

Use of economic theory and analysis to design allocation mechanisms and market institutions. Course focuses on three areas: the design of matching algorithms to solve assignment problems, with applications to school choice, entry-level labor markets, and kidney exchanges; the design of auctions to solve general resource allocation problems, with applications to the sale of natural resources, financial assets, radio spectrum, and advertising; and the design of platforms and exchanges, with applications to internet markets. Emphasis on connecting economic theory to practical applications. Students must write term paper.

Terms: Win, Spr
| Units: 5
| UG Reqs: WAY-FR

Instructors: ; Milgrom, P. (PI); Watt, M. (TA)

Effective decision models consider a decision maker's alternatives, information and preferences. The construction of such models in single-party situations with emphasis on the role of information. The course then evolves to two-party decision situations where one party has more information than the other. Models examined include: bidding exercises and the winner's curse, the Akerlof Model and adverse selection, the Principal-Agent model and risk sharing, moral hazard and contract design. Prerequisite: ECON 102A or equivalent. Recommended: Econ 50, Optimization and simulation in Excel.

Terms: Aut
| Units: 5
| UG Reqs: WAY-AQR, WAY-FR

Instructors: ; McKeon, S. (PI); Li, P. (TA)

May be repeated for credit.

Terms: Aut, Win, Spr, Sum
| Units: 1-10
| Repeatable
for credit

Instructors: ; Abramitzky, R. (PI); Admati, A. (PI); Alsan, M. (PI); Amador, M. (PI); Amemiya, T. (PI); Arora, A. (PI); Athey, S. (PI); Attanasio, O. (PI); Auclert, A. (PI); Bagwell, K. (PI); Baron, D. (PI); Bekaert, G. (PI); Bernheim, B. (PI); Bettinger, E. (PI); Bhattacharya, J. (PI); Bloom, N. (PI); Bocola, L. (PI); Boskin, M. (PI); Brady, D. (PI); Bresnahan, T. (PI); Brest, P. (PI); Bulow, J. (PI); Canellos, C. (PI); Carroll, G. (PI); Chan, D. (PI); Chandrasekhar, A. (PI); Chaudhary, L. (PI); Chen, L. (PI); Chetty, R. (PI); Clerici-Arias, M. (PI); Cogan, J. (PI); David, P. (PI); Diamond, R. (PI); Donohue, J. (PI); Duffie, D. (PI); Duggan, M. (PI); Dupas, P. (PI); Einav, L. (PI); Fafchamps, M. (PI); Falcon, W. (PI); Fearon, J. (PI); Fetter, D. (PI); Fitzpatrick, M. (PI); Foster, G. (PI); Fuchs, V. (PI); Garber, A. (PI); Gentzkow, M. (PI); Goda, G. (PI); Gould, A. (PI); Goulder, L. (PI); Greif, A. (PI); Haak, D. (PI); Haber, S. (PI); Hall, R. (PI); Hamilton, J. (PI); Hammond, P. (PI); Hanson, W. (PI); Hanushek, E. (PI); Harris, D. (PI); Hartmann, W. (PI); Henry, P. (PI); Hickman, B. (PI); Hong, H. (PI); Hope, N. (PI); Horvath, M. (PI); Hoxby, C. (PI); Imbens, G. (PI); Jackson, M. (PI); Jagolinzer, A. (PI); Jarosch, G. (PI); Jones, C. (PI); Jost, J. (PI); Judd, K. (PI); Kehoe, P. (PI); Kessler, D. (PI); Klausner, M. (PI); Klenow, P. (PI); Kochar, A. (PI); Kojima, F. (PI); Kolstad, C. (PI); Koudijs, P. (PI); Krueger, A. (PI); Kuran, T. (PI); Kurlat, P. (PI); Kurz, M. (PI); Lambert, N. (PI); Larsen, B. (PI); Lau, L. (PI); Lazear, E. (PI); Leeson, R. (PI); Levin, J. (PI); Lynham, J. (PI); MaCurdy, T. (PI); Malmendier, U. (PI); McClellan, M. (PI); McKeon, S. (PI); Meier, G. (PI); Milgrom, P. (PI); Miller, G. (PI); Morten, M. (PI); Naylor, R. (PI); Nechyba, T. (PI); Niederle, M. (PI); Noll, R. (PI); Owen, B. (PI); Oyer, P. (PI); Pencavel, J. (PI); Persson, P. (PI); Piazzesi, M. (PI); Pistaferri, L. (PI); Polinsky, A. (PI); Qian, Y. (PI); Reiss, P. (PI); Richards, J. (PI); Roberts, J. (PI); Romano, J. (PI); Romer, P. (PI); Rosenberg, N. (PI); Rossi-Hansberg, E. (PI); Rosston, G. (PI); Roth, A. (PI); Royalty, A. (PI); Rozelle, S. (PI); Sargent, T. (PI); Schaffner, J. (PI); Schneider, M. (PI); Segal, I. (PI); Sharpe, W. (PI); Shotts, K. (PI); Shoven, J. (PI); Singleton, K. (PI); Skrzypacz, A. (PI); Sorkin, I. (PI); Sweeney, J. (PI); Taylor, J. (PI); Tendall, M. (PI); Topper, M. (PI); Vytlacil, E. (PI); Wacziarg, R. (PI); Weingast, B. (PI); Williams, H. (PI); Wilson, R. (PI); Wolak, F. (PI); Wolitzky, A. (PI); Wright, G. (PI); Wright, M. (PI); Yotopoulos, P. (PI); Sheeler, P. (GP)

Modern portfolio theory and corporate finance. Topics: present value and discounting, interest rates and yield to maturity, various financial instruments including financial futures, mutual funds, the efficient market theory, basic asset pricing theory, the capital asset pricing model, and models for pricing options and other contingent claims. Use of derivatives for hedging. Prerequisites: ECON 50, ECON 102A.

Terms: Spr
| Units: 5
| UG Reqs: WAY-SI

Both "free market capitalism" and democracy are in crisis around the world. This interdisciplinary course will help you understand the issues by exploring the interactions between the financial system, corporations, governments, and broader society. Topics include basic financial decisions of individuals and corporations, consumer finance (including mortgages, student loans, insurance and savings), financial markets and firms, corporations and their governance, the role of disclosures and regulations, political economy and government institutions, and the role of the media. We will discuss current events and policy debates regularly throughout the course. The approach will be rigorous and analytical but not overly mathematical. Visitors with relevant experience will enrich the discussion.

Terms: Aut
| Units: 4

Instructors: ; Admati, A. (PI); Baksy, A. (TA); Jimenez, M. (GP); Lu, X. (TA); Ponce, S. (GP); Sobolev, T. (TA); Souchier, M. (TA)

The family into which a child is born plays a powerful role in determining lifetime opportunities. This course will apply tools from economics and related social sciences to study how the functioning of families is shaped by laws, social insurance, social norms, and technology. Topics will include intergenerational transmission of wealth and health, the importance of the early family environment, partnership formation, cohabitation and marriage, teen pregnancy and contraception, assisted reproduction, Tiger Moms and Helicopter Parenting, and the employment effects of parenthood. In the context of these topics, the course will cover social science empirical methods, including regression analysis, causal inference, and quasi-experimental methods. Throughout the course, we will think critically about the role of the government and how the design of public policy targeting families affect our ability to solve some of the most important social and economic problems of our time. Prerequisites: Econ 50

Terms: Win
| Units: 5
| UG Reqs: WAY-AQR, WAY-SI

How a decision to invest in education is affected by factors including ability and family background. Markets for elementary and secondary schooling; topics such as vouchers and charter schools, accountability, expenditure equalization among schools, and the teacher labor market.The market for college education emphasizing how college tuition is determined, and whether students are matched efficiently with colleges. How education affects economic growth, focusing on developing countries. Theory and empirical results. Application of economics from fields such as public economics, labor economics, macroeconomics, and industrial organization. Prerequisites: ECON 50, ECON 102B.

Terms: Aut
| Units: 5
| UG Reqs: WAY-SI

Instructors: ; Hoxby, C. (PI); Dobbin, C. (TA)

Much of the world's economic activity is undertaken by corporations, the largest being more powerful than most nations. Given daunting societal challenges like climate change, inequality, and racial injustice, what objectives should corporations have? In this course, we discuss the ongoing debate about the social responsibility of corporations. We consider shareholder activism, divestments made by university endowments and other ways investors might influence corporations. We look at the ESG (environment, social, governance) movement and the potential for "impact investing" to solve problems. Throughout we focus on whether the incentives of key decision makers are aligned with desirable objectives. We will bring to class CEOs and leading investors in public and private equity, to ensure we provide a balance of theory and practice.

Terms: Spr
| Units: 3

Instructors: ; Pfleiderer, P. (PI)

Examines the empirics on the economics, management and strategy of organizations (e.g. firms). Topics include the organization of firms in US and internationally. Management practices around information systems, target setting and human resources. Focus on management practices in manufacturing, but also analyze retail, hospitals and schools, plus some recent field-experiments in developing countries. Prerequisites: ECON 51 (Public Policy majors may take PUBLPOL 51 as a substitute for ECON 51), ECON 102B.

Terms: Win
| Units: 5
| UG Reqs: WAY-SI

Instructors: ; Bloom, N. (PI); Shi, M. (TA)

The relationship between microeconomic analysis and public policy making. How economic policy analysis is done and why political leaders regard it as useful but not definitive in making policy decisions. Economic rationales for policy interventions, methods of policy evaluation and the role of benefit-cost analysis, economic models of politics and their application to policy making, and the relationship of income distribution to policy choice. Theoretical foundations of policy making and analysis, and applications to program adoption and implementation. Prerequisites: ECON 50 and ECON 102B. Undergraduate Public Policy students are required to take this class for a letter grade and enroll in this class for five units.

Terms: Win
| Units: 4-5
| UG Reqs: WAY-AQR

Instructors: ; Rosston, G. (PI)

Big data can help us provide answers to fundamental social questions, from poverty and social mobility, to climate change, migration, and the spread of disease. But making sense of data requires more than just statistical techniques: it calls for models of how humans behave and interact with each other. Social data science combines the analysis of big data with social science theory. We will take a project-oriented, many models-many methods approach. This course will introduce students to a variety of models and methods used across the social sciences, including tools such as game theoretical models, network models, models of diffusion and contagion, agent based models, model simulations, machine learning and causal inference. Students will apply these tools to tackle important topics in guided projects. Prerequisite is Econ 102A or equivalent.

Terms: Spr
| Units: 5

This course explores the role of law in promoting social well-being (happiness). Law, among its other functions, can serve as a mechanism to harmonize private incentives with cooperative gains, to support an equitable division of those gains, and to deter "cheating" and dystopia. Law is thus essential to civilization. Economic analysis of law focuses on the welfare-enhancing incentive effects of law and its enforcement and on law's role in reducing the risks of cooperation, achieved by fixing expectations of what courts or the state will do in various futures. Specific topics include welfare economics, torts, property, contracts, regulation, process and antitrust. Requires a term paper applying economic analysis to a case, procedure, or law. Prerequisite: ECON 50.

Terms: Spr
| Units: 4-5
| UG Reqs: WAY-SI

Instructors: ; Owen, B. (PI); Vasquez Duque, O. (PI)

Economic sources of environmental problems and alternative policies for dealing with them (technology standards, emissions taxes, and marketable pollution permits). Evaluation of policies addressing local air pollution, global climate change, and the use of renewable resources. Connections between population growth, economic output, environmental quality, sustainable development, and human welfare. Prerequisite: ECON 50. May be taken concurrently with consent of the instructor.

Terms: Win, Sum
| Units: 5
| UG Reqs: GER: DB-NatSci, WAY-SI

Instructors: ; Goulder, L. (PI); Aron-Dine, S. (TA)

The interaction between firms and consumers in markets that fall outside the benchmark competitive model. How firms acquire and exploit market power. Game theory and information economics to analyze how firms interact strategically. Topics include monopoly, price discrimination, advertising, oligopoly pricing, product differentiation, collusion and cartel behaviour, and anti competitive behavior. Sources include theoretical models, real-world examples, and empirical papers. Prerequisite: ECON 51 (Public Policy majors may take PUBLPOL 51 as a substitute for ECON 51).

Terms: Aut
| Units: 5
| UG Reqs: WAY-SI

Instructors: ; Cuesta, J. (PI); Yi, L. (TA)

Introduction to game theory and its applications to economics. Topics: strategic and extensive form games, dominant strategies, Nash equilibrium, subgame-perfect equilibrium, and Bayesian equilibrium. The theory is applied to repeated games, voting, auctions, and bargaining with examples from economics and political science. Prerequisites: Working knowledge of calculus and basic probability theory.

Terms: Spr
| Units: 5
| UG Reqs: WAY-FR, WAY-SI

Instructors: ; Bagwell, K. (PI)

If, as economists argue, development can make everyone in a society better off, why do leaders fail to pursue policies that promote development? The course uses game theoretic approaches from both economics and political science to address this question. Incentive problems are at the heart of explanations for development failure. Specifically, the course focuses on a series of questions central to the development problem: Why do developing countries have weak and often counterproductive political institutions? Why is violence (civil wars, ethnic conflict, military coups) so prevalent in the developing world, and how does it interact with development? Why do developing economies fail to generate high levels of income and wealth? We study how various kinds of development traps arise, preventing development for most countries. We also explain how some countries have overcome such traps. This approach emphasizes the importance of simultaneous economic and political development as two different facets of the same developmental process. No background in game theory is required.

Terms: Win
| Units: 3-5
| UG Reqs: WAY-AQR, WAY-SI

Instructors: ; Weingast, B. (PI); Jimenez, M. (TA)

We will explore models for analyzing a wide variety of issues in open-economy macroeconomics, such as the balance of payments; the determination of exchange rates; monetary and fiscal policy under flexible and fixed exchange rate regimes; exchange rate crises; sovereign debt crises and the possibility of contagion. Our theoretical framework will structure our examination of important historical episodes and contemporary policy debates; the textbook will be supplemented with readings from recent scholarly articles and mainstream news sources. Active class participation is an important part of the course. Prerequisite: ECON 52.

Terms: Spr
| Units: 5
| UG Reqs: WAY-SI

Instructors: ; Bocola, L. (PI)

Explaining patterns of trade among nations; characterizing the sources of comparative advantage in production and the prospect of gains from economies of scale. Enumerating and accounting for the net aggregate gains from trade, and identifying winners and losers from globalization. Analyzing the effects of international labor migration, foreign direct investment, outsourcing, and multinational companies. Strategic trade policy; international trade agreements; labor and environmental implications. We will review relevant theoretical frameworks, examine empirical evidence, and discuss historical and contemporary policy debates as covered in the popular press; active class participation is an important part of the course. Prerequisite: ECON 51 (Public Policy majors may take PUBLPOL 51 as a substitute for ECON 51).

Terms: Aut
| Units: 5
| UG Reqs: WAY-SI

The field of behavioral economics draws on insights from other disciplines, especially psychology, to enrich our understanding of economic behavior. The course will discuss how people may display systematic behavioral patterns that diverge from the predictions of standard economic models, as well as the ways in which economists incorporate those considerations into their theories, and the implications of those theories for market outcomes and public policies. Prerequisites: ECON 50 and ECON 102A. Econ 51 is recommended.

Terms: Win
| Units: 5
| UG Reqs: WAY-SI

For juniors (advanced sophomores will be considered) who expect to write an honors thesis in Economics or Public Policy. Weekly sessions go through the process of selecting a research question, finding relevant bibliography, writing a literature review, introduction, and study design, culminating in the write-up of an honors thesis proposal (prospectus) and the oral presentation of each student's research project. Students also interact with potential advisors, and outline a program of study for their senior year. To apply, complete the application at https://economics.stanford.edu/undergraduate/forms.

Terms: Spr
| Units: 5

Instructors: ; Clerici-Arias, M. (PI)

In-depth study of an appropriate question and completion of a thesis of very high quality. Normally written under the direction of a member of the Department of Economics (or some closely related department). See description of honors program. Register for at least 1 unit for at least one quarter after your honors application is approved. Winter registration for one unit under the supervision of the Director of the Honors Program is mandatory for all honors students.

Terms: Aut, Win, Spr, Sum
| Units: 1-10
| Repeatable
for credit

Instructors: ; Abramitzky, R. (PI); Admati, A. (PI); Alsan, M. (PI); Amador, M. (PI); Amemiya, T. (PI); Arora, A. (PI); Athey, S. (PI); Attanasio, O. (PI); Auclert, A. (PI); Bagwell, K. (PI); Bekaert, G. (PI); Benkard, L. (PI); Bernheim, B. (PI); Bettinger, E. (PI); Bhattacharya, J. (PI); Bloom, N. (PI); Bocola, L. (PI); Boskin, M. (PI); Brady, D. (PI); Bresnahan, T. (PI); Bulow, J. (PI); Canellos, C. (PI); Carroll, G. (PI); Chandrasekhar, A. (PI); Chaudhary, L. (PI); Chetty, R. (PI); Clerici-Arias, M. (PI); Cogan, J. (PI); David, P. (PI); Diamond, R. (PI); Donohue, J. (PI); Duffie, D. (PI); Duggan, M. (PI); Dupas, P. (PI); Einav, L. (PI); Fafchamps, M. (PI); Falcon, W. (PI); Fearon, J. (PI); Fetter, D. (PI); Fitzpatrick, M. (PI); Fuchs, V. (PI); Garber, A. (PI); Gentzkow, M. (PI); Goda, G. (PI); Gould, A. (PI); Goulder, L. (PI); Greif, A. (PI); Haber, S. (PI); Hall, R. (PI); Hammond, P. (PI); Hanson, W. (PI); Hanushek, E. (PI); Harris, D. (PI); Hartmann, W. (PI); Henry, P. (PI); Hong, H. (PI); Hope, N. (PI); Hoxby, C. (PI); Imbens, G. (PI); Jackson, M. (PI); Jagolinzer, A. (PI); Jarosch, G. (PI); Jones, C. (PI); Judd, K. (PI); Kehoe, P. (PI); Kessler, D. (PI); Klenow, P. (PI); Kochar, A. (PI); Kojima, F. (PI); Kolstad, C. (PI); Koudijs, P. (PI); Kuran, T. (PI); Kurlat, P. (PI); Kurz, M. (PI); Lambert, N. (PI); Larsen, B. (PI); Lau, L. (PI); Lazear, E. (PI); Leeson, R. (PI); Levin, J. (PI); Li, H. (PI); Loeb, S. (PI); MaCurdy, T. (PI); McClellan, M. (PI); McKeon, S. (PI); Meier, G. (PI); Milgrom, P. (PI); Miller, G. (PI); Morten, M. (PI); Naylor, R. (PI); Niederle, M. (PI); Noll, R. (PI); Owen, B. (PI); Oyer, P. (PI); Pencavel, J. (PI); Persson, P. (PI); Piazzesi, M. (PI); Pistaferri, L. (PI); Polinsky, A. (PI); Qian, Y. (PI); Reiss, P. (PI); Richards, J. (PI); Roberts, J. (PI); Romano, J. (PI); Romer, P. (PI); Rosenberg, N. (PI); Rosston, G. (PI); Roth, A. (PI); Rozelle, S. (PI); Schneider, M. (PI); Segal, I. (PI); Shotts, K. (PI); Shoven, J. (PI); Singleton, K. (PI); Skrzypacz, A. (PI); Sorkin, I. (PI); Strebulaev, I. (PI); Sweeney, J. (PI); Taylor, J. (PI); Tendall, M. (PI); Wacziarg, R. (PI); Weingast, B. (PI); Williams, H. (PI); Wilson, R. (PI); Wolak, F. (PI); Wolitzky, A. (PI); Wright, G. (PI); Wright, M. (PI); Yotopoulos, P. (PI); Yurukoglu, A. (PI); Buchmann, N. (TA); Sheeler, P. (GP)

(Non-Economics graduate students register for 202N.) Open to advanced undergraduates with consent of instructors. Theory of the consumer and the implications of constrained maximization; uses of indirect utility and expenditure functions; theory of the producer, profit maximization, and cost minimization; monotone comparative statics; behavior under uncertainty; partial equilibrium analysis and introduction to models of general equilibrium. Limited enrollment. Prerequisite: thorough understanding of the elements of multivariate calculus and linear algebra.

Terms: Aut
| Units: 2-5

Theory of the consumer and the implications of constrained maximization; uses of indirect utility and expenditure functions; theory of the producer, profit maximization, and cost minimization; behavior under uncertainty; partial equilibrium analysis and introduction to models of general equilibrium; discussion of how assumptions and models stand up to recent developments in empirical and in particular behavioral economics. Prerequisite: understanding of basic calculus and some familiarity with writing basic proofs.

Terms: Aut
| Units: 2-5

Instructors: ; Mueller-Gastell, J. (PI)

(Non-Economics graduate students register for 203N.) Non-cooperative game theory including normal and extensive forms, solution concepts, games with incomplete information, and repeated games. Externalities and public goods. The theory of imperfect competition: static Bertrand and Cournot competition, dynamic oligopoly, entry decisions, entry deterrence, strategic behavior to alter market conditions. Limited enrollment. Prerequisite: ECON 202.

Terms: Win
| Units: 3-5

Instructors: ; Milgrom, P. (PI); Matoorian pour, N. (TA)

Social Choice, including Arrow's theorem, the Gibbard-Satterthwaite theorem, and the Vickrey-Clarke-Groves mechanism. The theory of contracts, emphasizing contractual incompleteness and the problem of moral hazard. Incentive regulation. Competition with imperfect information, including signaling and adverse selection. Competitive equilibrium and the core. Limited enrollment. Non-Econ students need permission of instructor to enroll. Prerequisite: ECON 202 and 203.

Terms: Spr
| Units: 3-5

Instructors: ; Jackson, M. (PI)

Dynamic programming applied to a variety of economic problems. These problems will be formulated in discrete or continuous time, with or without uncertainty, with a finite or infinite horizon. There will be weekly problem sets and a take-home final that will require MATLAB programming. Limited enrollment.

Terms: Aut
| Units: 2-5

Dynamic stochastic general equilibrium models using dynamic programming methods that are solved with MATLAB. Growth models (neoclassical, human capital, technical change) using optimal control theory. Limited enrollment. Prerequisite: ECON 210.

Terms: Win
| Units: 3-5

Real business cycle and new Keynesian models: business cycle fluctuations, inflation dynamics, the effects of monetary and fiscal policy, and optimal policy. Models of heterogeneity: search models of the labor market; precautionary savings and general equilibrium with incomplete markets; constrained efficiency; endogenous market incompleteness and recursive contracts; optimal taxation and redistribution. Limited enrollment. Prerequisites: ECON 203, ECON 210, ECON 211.

Terms: Spr
| Units: 3-5

Instructors: ; Auclert, A. (PI); Kehoe, P. (PI)

This course uses microeconomic theory and empirical analyses to understand barriers to human and economic development in lower income countries, as well as how public policies are formulated and their effectiveness at alleviating poverty. Topics include institutions and governance; human capital accumulation; productivity; inequality; poverty traps. Prerequisites: 202 or 202N, 270.

Terms: Aut
| Units: 3-5

Instructors: ; Dupas, P. (PI)

This is a course focusing on macro development research. It will cover dynamic models of growth and development, with a focus on migration; technological change; the functioning of financial markets; barriers to agricultural productivity; informal financial systems (savings, credit, and insurance); and public finance in less developed countries. Prerequisites: 202 or 202N, 270.

Terms: Win
| Units: 3-5

Instructors: ; Morten, M. (PI)

This course focuses on savings, credit, informal insurance, the expansion of microfinance, social networks, social learning and technology adoption, public finance and firm organizations. Prerequisite: 202, 203, 204, 210, 211, 212, 270, 271, 272.

Terms: Spr
| Units: 3-5

Instructors: ; Chandrasekhar, A. (PI)

Introduction to empirical and theoretical research in political economy. This course focuses on issues in democracies, while Political Economy II focuses on issues in non-democracies. Topics may include institutional foundations, social choice, electoral competition and candidate positioning, accountability, voter behavior, polarization, media and political communication, redistribution, special interests and lobbying, collective action, immigration, and populism. Prerequisite for Econ PhD students: ECON 202 and 270 or permission of instructors. Prerequisites for Political Science PhD students: POLISCI 450A, POLISCI 450B, and POLISCI 356A.

Terms: Aut
| Units: 3-5

Instructors: ; Gentzkow, M. (PI); Hall, A. (PI)

Continuation of ECON 220 / POLISCI 460A. Preparation for advanced research in political economy. This quarter will focus on topics related to culture, institutions, political and economic development, historical evolution, nondemocratic politics, conflict and cooperation. We will cover both empirical and theoretical work. Prerequisite for Political Science PhDnstudents: POLISCI 356A.

Terms: Win
| Units: 3-5

Instructors: ; Acharya, A. (PI); Fouka, V. (PI)

The role of economic history as a distinctive approach to the study of economics, using illustrations from U.S. history. Topics include: historical and institutional foundations of the U.S. rise to world economic preeminence; economic causes and consequences of slavery; the American national system of technology; the Great Depression of the 1930s and the policy response; inequality and intergenerational mobility; the growth of social insurance. Intended for graduate students.

Terms: Aut
| Units: 2-5

Instructors: ; Fetter, D. (PI); Wright, G. (PI)

Topics in Economic History: covers topics in Economic History such as the industrial revolution, the demographic transition, the great divergence, the importance of institutions, the diffusion of knowledge, the causes and consequences of income inequality, and immigration over the last two centuries. The course will highlight the roles of economic history in modern economics, the use of economic theory in guiding hypothesis testing, and the construction of new datasets and the execution of empirical analysis. The course is open to PhD students only.

Terms: Win
| Units: 3-5
| Repeatable
for credit

Instructors: ; Abramitzky, R. (PI)

Topics in the theory and empirics of economic growth. For PhD-level students.

Terms: Aut
| Units: 2-5

This is an advanced class on monetary economics. We cover empirical evidence, neoclassical models, recent advances in New Keynesian models, monetary policy with heterogeneous agents and financial frictions, alternative models of price setting and other topics. Students enrolled in MGTECON 612 take the class for 4 units. Students develop a research proposal and present it to the instructors as the final exam. Prerequisite: Satisfaction of the economics department's core macro requirement or consent of the instructors.

Terms: Win
| Units: 3-5

This course will cover research topics at the boundary between macroeconomics and finance. Topics may include the study of macroeconomic models with financial frictions, conventional and unconventional monetary policy, its transmission mechanism and the term structure of interest rates, sovereign debt crises, search frictions and segmentation in housing markets, (over)leveraging by households, heterogeneous expectations, excess volatility, financial bubbles and crises. Prerequisites: 210, 211, 212.

Terms: Win
| Units: 3-5

This Ph.D. course will cover research topics at the boundary between macroeconomics and finance. Topics will include the study of macroeconomic models with financial frictions, the term structure of interest rates, conventional and unconventional monetary policy, sovereign debt crises, search frictions and segmentation in housing markets, (over)leveraging by households, heterogeneous expectations, excess volatility, financial bubbles and crises. Student presentations and course paper requirement. Designed for second year PhD students in economics or finance.

Terms: Win
| Units: 3-5

Instructors: ; Schneider, M. (PI); Tonetti, C. (PI)

May be repeated for credit.

Terms: Aut, Win, Spr, Sum
| Units: 1-10
| Repeatable
for credit

Instructors: ; Abramitzky, R. (PI); Admati, A. (PI); Amador, M. (PI); Amemiya, T. (PI); Arora, A. (PI); Athey, S. (PI); Attanasio, O. (PI); Auclert, A. (PI); Bagwell, K. (PI); Baron, D. (PI); Bekaert, G. (PI); Bernheim, B. (PI); Bhattacharya, J. (PI); Bloom, N. (PI); Bocola, L. (PI); Boskin, M. (PI); Brady, D. (PI); Bresnahan, T. (PI); Bulow, J. (PI); Canellos, C. (PI); Carroll, G. (PI); Chandrasekhar, A. (PI); Chaudhary, L. (PI); Chetty, R. (PI); Clerici-Arias, M. (PI); Cogan, J. (PI); Cuesta, J. (PI); David, P. (PI); Diamond, R. (PI); Duffie, D. (PI); Duggan, M. (PI); Dupas, P. (PI); Einav, L. (PI); Fafchamps, M. (PI); Falcon, W. (PI); Fetter, D. (PI); Fitzpatrick, M. (PI); Fuchs, V. (PI); Garber, A. (PI); Gentzkow, M. (PI); Goda, G. (PI); Gould, A. (PI); Goulder, L. (PI); Greif, A. (PI); Haak, D. (PI); Haber, S. (PI); Hall, R. (PI); Hammond, P. (PI); Hanson, W. (PI); Hanushek, E. (PI); Harris, D. (PI); Hartmann, W. (PI); Henry, P. (PI); Hickman, B. (PI); Hong, H. (PI); Hope, N. (PI); Horvath, M. (PI); Hoxby, C. (PI); Imbens, G. (PI); Jackson, M. (PI); Jagolinzer, A. (PI); Jarosch, G. (PI); Jones, C. (PI); Jost, J. (PI); Judd, K. (PI); Kehoe, P. (PI); Kessler, D. (PI); Klenow, P. (PI); Kochar, A. (PI); Kojima, F. (PI); Kolstad, C. (PI); Koudijs, P. (PI); Kreps, D. (PI); Kuran, T. (PI); Kurlat, P. (PI); Kurz, M. (PI); Lambert, N. (PI); Larsen, B. (PI); Lau, L. (PI); Lazear, E. (PI); Leeson, R. (PI); Levin, J. (PI); MaCurdy, T. (PI); Malmendier, U. (PI); McClellan, M. (PI); McKeon, S. (PI); Meier, G. (PI); Milgrom, P. (PI); Miller, G. (PI); Morten, M. (PI); Naylor, R. (PI); Nechyba, T. (PI); Niederle, M. (PI); Noll, R. (PI); Owen, B. (PI); Oyer, P. (PI); Pencavel, J. (PI); Perez-Gonzalez, F. (PI); Persson, P. (PI); Pfleiderer, P. (PI); Piazzesi, M. (PI); Pistaferri, L. (PI); Polinsky, A. (PI); Qian, Y. (PI); Reiss, P. (PI); Richards, J. (PI); Roberts, J. (PI); Romano, J. (PI); Romer, P. (PI); Rosenberg, N. (PI); Rossi-Hansberg, E. (PI); Rosston, G. (PI); Roth, A. (PI); Royalty, A. (PI); Rozelle, S. (PI); Sargent, T. (PI); Schaffner, J. (PI); Schneider, M. (PI); Segal, I. (PI); Sharpe, W. (PI); Shotts, K. (PI); Shoven, J. (PI); Singleton, K. (PI); Skrzypacz, A. (PI); Somaini, P. (PI); Sorkin, I. (PI); Sweeney, J. (PI); Taylor, J. (PI); Tendall, M. (PI); Topper, M. (PI); Vytlacil, E. (PI); Wacziarg, R. (PI); Weingast, B. (PI); Williams, H. (PI); Wilson, R. (PI); Wolak, F. (PI); Wolitzky, A. (PI); Wright, G. (PI); Wright, M. (PI); Yotopoulos, P. (PI); Sheeler, P. (GP)

Design of tax systems, transfers intended to alleviate poverty, the effect of taxes on earnings, fees intended to internalize externalities like pollution, school finance and other forms of fiscal federalism, local public goods such as schools, policy evaluation with behavioral decision makers. Students will learn to apply sophisticated applications of frontier applied econometric techniques including synthetic controls, regression discontinuity, advanced instrumental variables methods. Prerequisites: ECON 202-204, ECON 210, ECON 270, ECON 271, or equivalent with consent of instructor.

Terms: Aut
| Units: 2-5

Instructors: ; Bernheim, B. (PI); Hoxby, C. (PI)

The first part of the course concerns inequality and the design of social insurance. We also explore questions in the intersection of public and family economics such as the unit of taxation, and the interaction between social insurance and intra-family insurance. The second half of the course covers local public policy and urban economics, and includes topics such as spatial equilibrium, placed-based policies and housing policy. Prerequisites: Econ 202, 203, 204, 210, 270, 271, or equivalent with consent of instructor. Recommended: Econ 241.270, 271, or equivalent with consent of instructor. Recommended: Econ 241 and 242

Terms: Win
| Units: 3-5

Market failures are the classic justification for government intervention in private markets. This course will focus on a small number of economically important markets where market failures are thought to be important: credit, health care, innovation, and insurance. For each of these markets, we will discuss theory and evidence on the existence and magnitude of market failures, and theory and evidence on the efficiency of public policy interventions designed to address those market failures. Prerequisites: ECON 202-204, ECON 270, ECON 271, or equivalent with consent of instructor.

Terms: Win
| Units: 3-5

Instructors: ; Einav, L. (PI); Williams, H. (PI)

Topics in current applied microeconomic research including intertemporal labor supply models, public policy, program evaluation, job search, migration, consumption behavior. Student and faculty presentations.

Terms: Aut
| Units: 2-5

Instructors: ; Pistaferri, L. (PI)

Recent topics in applied micro, focusing on papers from top journals (QJE, AER, JPE, Econometrica and REStud) over the last ten years. Broad overview of current topic and techniques in applied-micro research. Topics include inequality, polarization and skill-biased technical change, discrimination, technology adoption and the spread of information, management practices, field experiments, peer effects and academic spillovers. Combination of student and faculty presentations. Additional sessions on general presentations, paper writing and research skills to prepare for job market. Typically also run a class trip to the NBER West-Coast labor meetings at the San Francisco Fed.

Terms: Win
| Units: 3-5

Instructors: ; Bloom, N. (PI)

This course focuses on household decision making, the economics of discrimination, and the economics of migration. We will examine unitary, cooperative and non-cooperative models of the household, the collective model, dynamic extensions of the collective model with frictions. We will then discuss empirical applications of these models to labor supply, retirement behavior, human capital accumulation, division of labor within the family and migration decisions.

Terms: Spr
| Units: 3-5

Instructors: ; Voena, A. (PI)

Course will cover various topics in health economics, from theoretical and empirical perspectives. Topics will include public financing and public policy in health care and health insurance; demand and supply of health insurance and healthcare; physicians' incentives; patient decision-making; competition policy in healthcare markets, intellectual property in the context of pharmaceutical drugs and medical technology; other aspects of interaction between public and private sectors in healthcare and health insurance markets. Key emphasis on recent work and empirical methods and modelling. Prerequisites: Micro and Econometrics first year sequences (or equivalent). Curricular prerequisites (if applicable): First year graduate Microeconomics and Econometrics sequences (or equivalent)

Terms: Spr
| Units: 3-5

Theoretical and empirical analysis of sources of and solutions to environmental problems, with application to local pollution challenges and global environmental issues such as climate change. Topics include: analysis of market failure, choice of environmental policy instruments, integrating environmental and distortionary taxes, environmental policy making under uncertainty, valuing environmental amenities, and measuring /promoting sustainable development.

Terms: Win
| Units: 3-5

Instructors: ; Goulder, L. (PI)

Theoretical and empirical analyses of the determinants of market structure; firm behavior and market efficiency in oligopolies; price discrimination; price dispersion and consumer search; differentiated products; the role of information in markets, including insurance and adverse selection; auctions; collusion and cartel behavior; advertising; entry and market structure; market dynamics; strategic behavior.

Terms: Aut
| Units: 2-5

Topics may include theoretical and empirical analysis of bargaining, dynamic models of entry and investment, models of household borrowing, models of markets with asymmetric information, advertising, brands, and markets for information, and research at the boundaries between IO and neighboring fields such as trade, behavioral economics, and household finance. Prerequisite: Econ 257.

Terms: Win
| Units: 3-5

Course combines individual meetings and student presentations, with an aim of initiating dissertation research in industrial organization. Prerequisites: ECON 257, ECON 258. Enrollment by non-Econ PhD students requires instructors' consent.

Terms: Spr
| Units: 3-5

Instructors: ; Einav, L. (PI); Williams, H. (PI)

Benchmark open economy models. Solution methods for macroeconomic models. Analysis and evaluation of quantitative macroeconomic models. Main applications: Sovereign debt and default; Financial crises and sudden stops; Hedging, interest parity relationships, and the determination of exchange rates; Liability dollarization.

Terms: Spr
| Units: 3-5

Instructors: ; Bocola, L. (PI)

This is the second half of the international finance sequence. Part I: intertemporal approach to the current account, international real business cycle models, international risk-sharing, gains from financial integration, global imbalances, and exchange rate determination. Part 2: open-economy monetary models and currency unions. Part 3: international finance policy, capital controls and foreign exchange interventions. Part 4: sovereign debt. . Prerequisites:Econ 210, 211, 212 and 268.

Terms: Spr
| Units: 3-5

Instructors: ; Kehoe, P. (PI)

Probability, random variables, and distributions; large sample theory; theory of estimation and hypothesis testing. Limited enrollment. Prerequisites: math and probability at the level of Chapter 2, Paul G. Hoel, Introduction to Mathematical Statistics, 5th ed.

Terms: Aut
| Units: 2-5

Analysis of Randomized Experiments, Linear Regression Model, Instrumental Variables, Methods for Causal Effects. Prerequisite: Econ 270 or MGTECON 603 or permission of instructor.

Terms: Win
| Units: 3-5

Instructors: ; Imbens, G. (PI); Brown, D. (GP)

Simultaneous equation models, nonlinear estimation and testing, linear time series analysis, structural modeling. Prerequisites: Econ 271 or permission of instructor.

Terms: Spr
| Units: 3-5

Instructors: ; Bocola, L. (PI); Hong, H. (PI)

Possible topics: parametric asymptotic theory. M and Z estimators. General large sample results for maximum likelihood; nonlinear least squares; and nonlinear instrumental variables estimators including the generalized method of moments estimator under general conditions. Model selection test. Consistent model selection criteria. Nonnested hypothesis testing. Markov chain Monte Carlo methods. Nonparametric and semiparametric methods. Quantile Regression methods.

Terms: Win
| Units: 3-5

Instructors: ; Hong, H. (PI)

(Formerly 273B); Possible topics: nonparametric density estimation and regression analysis; sieve approximation; contiguity; convergence of experiments; cross validation; indirect inference; resampling methods: bootstrap and subsampling; quantile regression; nonstandard asymptotic distribution theory; empirical processes; set identification and inference, large sample efficiency and optimality; multiple hypothesis testing; randomization and permutation tests; inference for dependent data.

Terms: Spr
| Units: 3-5

Instructors: ; Romano, J. (PI)

This course presents methods for constructing econometric specifications and systems directly based on economic models. One such approach formulates stochastic economic models that give rise to empirically implementable econometric models. The discussion will cover methods for estimating, diagnostic testing, and drawing inferences about the underlying economic primitives, including both parametric and non-parametric identification of economic structures. Applications include models from all fields of empirical microeconomics Industrial Organization, Labor, Public Finance, and Energy and Environmental Economics. Examples include: consumer demand models integrating corner solutions, intertemporal models of household and firm behavior, and dynamic models of single and multi-agent interactions with complete and incomplete information. These include auction markets, oligopolies, regulator-firm interactions, and nonlinear pricing.. The major theme of the course is to present a general framework for economic theory-based empirical research that allows researchers to recover the underlying economic primitives driving observed outcomes of an economic environment. Prerequisites: Econ 202, 203, 204, 270, 271, 272.

Terms: Aut
| Units: 3-5

Instructors: ; Wolak, F. (PI)

This is the first part of a three course sequence (along with Econ 279 & 280-formerly 277) on behavioral and experimental economics. The sequence has two main objectives: 1) examines theories and evidence related to the psychology of economic decision making, 2) Introduces methods of experimental economics, and explores major subject areas (including those not falling within behavioral economics) that have been addressed through laboratory experiments. Focuses on series of experiments that build on one another in an effort to test between competing theoretical frameworks, with the objects of improving the explanatory and predictive performance of standard models, and of providing a foundation for more reliable normative analyses of policy issues. Prerequisites: 204 and 271, or consent of instructor.

Terms: Aut
| Units: 2-5

Instructors: ; Bernheim, B. (PI); Roth, A. (PI)

This is part of a three course sequence (along with Econ 278 & 280-formerly 277) on behavioral and experimental economics. The sequence has two main objectives: 1) examines theories and evidence related to the psychology of economic decision making, 2) Introduces methods of experimental economics, and explores major subject areas (including those not falling within behavioral economics) that have been addressed through laboratory experiments. Focuses on series of experiments that build on one another in an effort to test between competing theoretical frameworks, with the objects of improving the explanatory and predictive performance of standard models, and of providing a foundation for more reliable normative analyses of policy issues. Prerequisites: 204 and 271, or consent of instructor.

Terms: Win
| Units: 3-5

Instructors: ; Niederle, M. (PI)

Economics 280 (formerly ECON 277) is a course primarily directed at graduate students in the Economics department writing dissertations with behavioral or experimental components. Economics 280 is the third part of a three course sequence (along with Econ 278 & 279). The first two quarters, which are taught primarily in lecture format, have two main objectives: 1) examining theories and evidence related to the psychology of economic decision making; 2) introducing methods of experimental economics, and exploring major subject areas (including those not falling within behavioral economics) that have been addressed through laboratory experiments. Focuses on series of experiments that build on one another in an effort to test between competing theoretical frameworks, with the objectives of improving the explanatory and predictive performance of standard models, and of providing a foundation for more reliable normative analyses of policy issues. This third quarter is a practicum, focused on students who have taken (at least one of) the first two quarters and who are now preparing an experimental or behavioral study of their own. Prerequisites: Non-Econ Phd students must complete 204 and 271, or have consent of instructor.

Terms: Spr
| Units: 3-5

Instructors: ; Bernheim, B. (PI); Niederle, M. (PI)

Basic theories and recent developments in mechanism design and the theory of contracts. Topics include: hidden characteristics and hidden action models with one and many agents, design of mechanisms and markets with limited communication, long-term relationships under commitment and under renegotiation, property rights and theories of the firm.

Terms: Win
| Units: 3-5

Instructors: ; Segal, I. (PI)

Technology has enabled the emergence of economic systems of formerly inconceivable complexity. Nevertheless, some technology-related economic problems are so complex that either supercomputers cannot solve them in a reasonable time, or they are too complex for humans to comprehend. Thus, modern economic designs must still be simple enough for humans to understand, and must address computationally complex problems in an efficient fashion. This topics course explores simplicity and complexity in economics, primarily via theoretical models. We will focus on recent advances. Key topics include (but are not limited to) resource allocation in complex environments, communication complexity and information aggregation in markets, robust mechanisms, dynamic matching theory, influence maximization in networks, and the design of simple (user-friendly) mechanisms. Some applications include paired kidney exchange, auctions for electricity and for radio spectrum, ride-sharing platforms, and the diffusion of information. Prerequisites: Econ 203 or equivalent.

Terms: Spr
| Units: 3-5

Instructors: ; Akbarpour, M. (PI); Milgrom, P. (PI)

This is an introduction to market design, intended mainly for second year PhD students in economics (but also open to other graduate students from around the university and to undergrads who have taken undergrad market design). It will emphasize the combined use of economic theory, experiments, and empirical analysis to analyze and engineer market rules and institutions. In this first quarter we will pay particular attention to matching markets, which are those in which price doesn't do all of the work, and which include some kind of application or selection process. We will also cover some of the basics of auction theory, with a particular emphasis on its connections to matching. In recent years market designers have participated in the design and implementation of a number of marketplaces, and the course will emphasize the relation between theory and practice, for example in the design of labor market clearinghouses for American doctors, school choice programs in a growing number of American cities (including New York and Boston), the allocation of organs for transplantation, online advertising auctions, and the market for transportation. Various forms of market failure will also be discussed. Assignment: One final paper. The objective of the final paper is to study an existing market or an environment with a potential role for a market, describe the relevant market design questions, and evaluate how the current market design works and/or propose improvements on the current design.

Terms: Aut
| Units: 2-5

Instructors: ; Ostrovsky, M. (PI); Roth, A. (PI)

Aims to provide a solid basis in game-theoretic tools and concepts, both for theorists and for students focusing in other fields. Technical material will include solution concepts and refinements, potential games, supermodular games, repeated games, reputation, and bargaining models. The class will also address some foundational issues, such as epistemic and evolutionary modeling.Prerequisite: 203 or consent of instructor.

Terms: Aut
| Units: 3-5

Instructors: ; Carroll, G. (PI)

Primarily for doctoral students. Focus on quantitative models dealing with sustainability and related to operations management. Prerequisite: consent of instructor. May be repeated for credit.

Terms: Win
| Units: 3
| Repeatable
for credit

Instructors: ; Ashlagi, I. (PI)

Students and faculty review and present recent research papers on basic theories and economic applications of decision theory, game theory and mechanism design. Applications include market design and analyses of incentives and strategic behavior in markets, and selected topics such as auctions, bargaining, contracting, and computation.

Terms: Spr
| Units: 3

Synthesis of research on social and economic networks by sociologists, economists, computer scientists, physicists, and mathematicians, with an emphasis on modeling. Includes methods for describing and measuring networks, empirical observations about network structure, models of random and strategic network formation, as well as analyses of contagion, diffusion, learning, peer influence, games played on networks, and networked markets.

Terms: Spr
| Units: 3-5

Instructors: ; Chandrasekhar, A. (PI)

This is an advanced course on quantitative methods for empirical research. Students are expected to have taken a course in linear models before. In this course I will discuss modern econometric methods for nonlinear models, including maximum likelihood and generalized method of moments. The emphasis will be on how these methods are used in sophisticated empirical work in social sciences. Special topics include discrete choice models and methods for estimating treatment effects.

Terms: Aut
| Units: 3-5

This course will cover statistical methods based on the machine learning literature that can be used for causal inference. In economics and the social sciences more broadly, empirical analyses typically estimate the effects of counterfactual policies, such as the effect of implementing a government policy, changing a price, showing advertisements, or introducing new products. This course will review when and how machine learning methods can be used for causal inference, and it will also review recent modifications and extensions to standard methods to adapt them to causal inference and provide statistical theory for hypothesis testing. We consider causal inference methods based on randomized experiments as well as observational studies, including methods such as instrumental variables and those based on longitudinal data. We consider the estimation of average treatment effects as well as personalized policies. Lectures will focus on theoretical developments, while classwork will consist primarily of empirical applications of the methods. Prerequisite: Prior coursework in basic observational study methods for causal inference, including instrumental variables, fixed effects modeling, regression discontinuity designs, etc. Students should be comfortable reading and engaging with empirical research in economics and related fields.

Terms: Spr
| Units: 3

Instructors: ; Athey, S. (PI); Wager, S. (PI)

Students obtain employment in a relevant research or industrial activity to enhance their professional experience consistent with their degree programs. At the start of the quarter, students must submit a one page statement showing the relevance of the employment to the degree program along with an offer letter. Submit this documentation to the Econ professor, who has agreed to the student enrolling in their Econ 299 section. At the end of the quarter, a three page final report must be supplied documenting work done and relevance to degree program. May be repeated for credit.

Terms: Aut, Win, Spr, Sum
| Units: 1-10
| Repeatable
for credit

Instructors: ; Abramitzky, R. (PI); Admati, A. (PI); Amador, M. (PI); Amemiya, T. (PI); Arora, A. (PI); Athey, S. (PI); Attanasio, O. (PI); Auclert, A. (PI); Bagwell, K. (PI); Baron, D. (PI); Bekaert, G. (PI); Bernheim, B. (PI); Bettinger, E. (PI); Bhattacharya, J. (PI); Bloom, N. (PI); Bocola, L. (PI); Boskin, M. (PI); Brady, D. (PI); Bresnahan, T. (PI); Bulow, J. (PI); Canellos, C. (PI); Carroll, G. (PI); Chandrasekhar, A. (PI); Chaudhary, L. (PI); Chetty, R. (PI); Clerici-Arias, M. (PI); Cogan, J. (PI); David, P. (PI); Diamond, R. (PI); Duffie, D. (PI); Duggan, M. (PI); Dupas, P. (PI); Einav, L. (PI); Fafchamps, M. (PI); Falcon, W. (PI); Fetter, D. (PI); Fitzpatrick, M. (PI); Fuchs, V. (PI); Garber, A. (PI); Gentzkow, M. (PI); Gould, A. (PI); Goulder, L. (PI); Greif, A. (PI); Haak, D. (PI); Haber, S. (PI); Hall, R. (PI); Hamilton, J. (PI); Hammond, P. (PI); Hanson, W. (PI); Hanushek, E. (PI); Harris, D. (PI); Hartmann, W. (PI); Henry, P. (PI); Hickman, B. (PI); Hong, H. (PI); Hope, N. (PI); Horvath, M. (PI); Hoxby, C. (PI); Imbens, G. (PI); Jackson, M. (PI); Jagolinzer, A. (PI); Jarosch, G. (PI); Jones, C. (PI); Jost, J. (PI); Judd, K. (PI); Kehoe, P. (PI); Kessler, D. (PI); Klenow, P. (PI); Kochar, A. (PI); Kojima, F. (PI); Kolstad, C. (PI); Krueger, A. (PI); Kuran, T. (PI); Kurlat, P. (PI); Kurz, M. (PI); Lambert, N. (PI); Larsen, B. (PI); Lau, L. (PI); Lazear, E. (PI); Leeson, R. (PI); Levin, J. (PI); MaCurdy, T. (PI); Malmendier, U. (PI); McClellan, M. (PI); McKeon, S. (PI); Meier, G. (PI); Milgrom, P. (PI); Miller, G. (PI); Morten, M. (PI); Naylor, R. (PI); Nechyba, T. (PI); Niederle, M. (PI); Noll, R. (PI); Owen, B. (PI); Oyer, P. (PI); Pencavel, J. (PI); Persson, P. (PI); Piazzesi, M. (PI); Pistaferri, L. (PI); Polinsky, A. (PI); Qian, Y. (PI); Reiss, P. (PI); Richards, J. (PI); Roberts, J. (PI); Romano, J. (PI); Romer, P. (PI); Rosenberg, N. (PI); Rossi-Hansberg, E. (PI); Rosston, G. (PI); Roth, A. (PI); Royalty, A. (PI); Rozelle, S. (PI); Sargent, T. (PI); Schaffner, J. (PI); Schneider, M. (PI); Segal, I. (PI); Sharpe, W. (PI); Shotts, K. (PI); Shoven, J. (PI); Singleton, K. (PI); Skrzypacz, A. (PI); Sorkin, I. (PI); Sweeney, J. (PI); Taylor, J. (PI); Tendall, M. (PI); Topper, M. (PI); Vytlacil, E. (PI); Wacziarg, R. (PI); Weingast, B. (PI); Williams, H. (PI); Wilson, R. (PI); Wolak, F. (PI); Wolitzky, A. (PI); Wright, G. (PI); Wright, M. (PI); Yotopoulos, P. (PI); Sheeler, P. (GP)

Restricted to Economics Ph.D. students. Students present current research. May be repeated for credit.

Terms: Aut, Spr
| Units: 3-10
| Repeatable
for credit

Instructors: ; Einav, L. (PI); Voena, A. (PI)

Terms: Aut, Win, Spr
| Units: 1-10
| Repeatable
for credit

Terms: Aut, Win, Spr
| Units: 1-10
| Repeatable
for credit

Instructors: ; Chandrasekhar, A. (PI); Dupas, P. (PI); Morten, M. (PI); Persson, P. (PI); Voena, A. (PI)

May be repeated for credit.

Terms: Aut, Win, Spr
| Units: 1-10
| Repeatable
for credit

Field seminar in experimental and behavioral economics.

Terms: Aut, Win, Spr
| Units: 1-10
| Repeatable
for credit

Issues in measuring and evaluating the economic performance of government tax, expenditure, debt, and regulatory policies; their effects on levels and distribution of income, wealth, and environmental quality; alternative policies and methods of evaluation. Workshop format combines student research, faculty presentations, and guest speakers. Prerequisite: ECON 241 or consent of instructor.

Terms: Aut, Win, Spr
| Units: 1-10
| Repeatable
for credit

Instructors: ; Boskin, M. (PI); Duggan, M. (PI); Goulder, L. (PI); Hoxby, C. (PI); Mahoney, N. (PI); Persson, P. (PI)

Terms: Aut, Win, Spr
| Units: 1-10
| Repeatable
for credit

Instructors: ; Bloom, N. (PI); Duggan, M. (PI); Hoxby, C. (PI); MaCurdy, T. (PI); Pistaferri, L. (PI); Sorkin, I. (PI); Voena, A. (PI)

This seminar will examine current research by lawyers and economists on a variety of topics in law and economics. Several sessions of the seminar will consist of an invited speaker, usually from another university, who will discuss his or her current research. Representative of these sessions have been discussions of compensation for government regulations and takings, liability rules for controlling accidents, the definition of markets in antitrust analysis, the role of the government as a controlling shareholder, and optimal drug patent length. Contact the instructor listed for the class to request permission to enroll. Cross-listed with the Law School (Law 7506 and Law 7507).

Terms: Aut, Win
| Units: 2-3

Current research in the field by visitors, presentations by students, and discussion of recent papers. Students write an original research paper, make a formal presentation, and lead a structured discussion.

Terms: Aut, Win, Spr
| Units: 1-10
| Repeatable
for credit

Instructors: ; Cuesta, J. (PI); Einav, L. (PI); Gentzkow, M. (PI); Larsen, B. (PI); Levin, J. (PI); Mahoney, N. (PI); Williams, H. (PI)

Terms: Aut, Win, Spr
| Units: 1-10
| Repeatable
for credit

Instructors: ; Bagwell, K. (PI); Bocola, L. (PI)

Terms: Aut, Win, Spr
| Units: 1-10
| Repeatable
for credit

Terms: Aut, Win, Spr
| Units: 1-10
| Repeatable
for credit

Pre-TGR dissertation research.(Staff)

Terms: Aut, Win, Spr, Sum
| Units: 1-15
| Repeatable
for credit

Instructors: ; Abramitzky, R. (PI); Amador, M. (PI); Bagwell, K. (PI); Bernheim, B. (PI); Bloom, N. (PI); Boskin, M. (PI); Bresnahan, T. (PI); Dupas, P. (PI); Einav, L. (PI); Goulder, L. (PI); Greif, A. (PI); Hall, R. (PI); Hong, H. (PI); Hoxby, C. (PI); Jackson, M. (PI); Klenow, P. (PI); Kojima, F. (PI); Kurlat, P. (PI); Kurz, M. (PI); Levin, J. (PI); MaCurdy, T. (PI); Milgrom, P. (PI); Niederle, M. (PI); Noll, R. (PI); Pencavel, J. (PI); Piazzesi, M. (PI); Pistaferri, L. (PI); Romano, J. (PI); Roth, A. (PI); Schneider, M. (PI); Segal, I. (PI); Shoven, J. (PI); Taylor, J. (PI); Williams, H. (PI); Wolak, F. (PI); Wright, G. (PI)

Terms: Aut, Win, Spr, Sum
| Units: 0
| Repeatable
for credit

Instructors: ; Abramitzky, R. (PI); Admati, A. (PI); Amador, M. (PI); Amemiya, T. (PI); Arora, A. (PI); Athey, S. (PI); Attanasio, O. (PI); Bagwell, K. (PI); Baron, D. (PI); Bekaert, G. (PI); Bernheim, B. (PI); Bhattacharya, J. (PI); Bloom, N. (PI); Boskin, M. (PI); Brady, D. (PI); Bresnahan, T. (PI); Bulow, J. (PI); Canellos, C. (PI); Carroll, G. (PI); Chandrasekhar, A. (PI); Clerici-Arias, M. (PI); David, P. (PI); Duffie, D. (PI); Dupas, P. (PI); Einav, L. (PI); Fafchamps, M. (PI); Falcon, W. (PI); Fitzpatrick, M. (PI); Fuchs, V. (PI); Garber, A. (PI); Goulder, L. (PI); Greif, A. (PI); Haak, D. (PI); Haber, S. (PI); Hall, R. (PI); Hammond, P. (PI); Hanushek, E. (PI); Harris, D. (PI); Hartmann, W. (PI); Henry, P. (PI); Hickman, B. (PI); Hong, H. (PI); Hope, N. (PI); Horvath, M. (PI); Hoxby, C. (PI); Jackson, M. (PI); Jagolinzer, A. (PI); Jones, C. (PI); Jost, J. (PI); Judd, K. (PI); Kessler, D. (PI); Klenow, P. (PI); Kochar, A. (PI); Kojima, F. (PI); Kolstad, C. (PI); Koudijs, P. (PI); Krueger, A. (PI); Kuran, T. (PI); Kurlat, P. (PI); Kurz, M. (PI); Lambert, N. (PI); Lau, L. (PI); Lazear, E. (PI); Levin, J. (PI); MaCurdy, T. (PI); Malmendier, U. (PI); McClellan, M. (PI); Meier, G. (PI); Milgrom, P. (PI); Miller, G. (PI); Naylor, R. (PI); Nechyba, T. (PI); Niederle, M. (PI); Noll, R. (PI); Owen, B. (PI); Oyer, P. (PI); Pencavel, J. (PI); Piazzesi, M. (PI); Pistaferri, L. (PI); Polinsky, A. (PI); Qian, Y. (PI); Reiss, P. (PI); Richards, J. (PI); Roberts, J. (PI); Romano, J. (PI); Romer, P. (PI); Rosenberg, N. (PI); Rossi-Hansberg, E. (PI); Rosston, G. (PI); Roth, A. (PI); Royalty, A. (PI); Rozelle, S. (PI); Sargent, T. (PI); Schaffner, J. (PI); Schneider, M. (PI); Segal, I. (PI); Sharpe, W. (PI); Shotts, K. (PI); Shoven, J. (PI); Singleton, K. (PI); Skrzypacz, A. (PI); Sweeney, J. (PI); Taylor, J. (PI); Tendall, M. (PI); Topper, M. (PI); Vytlacil, E. (PI); Wacziarg, R. (PI); Weingast, B. (PI); Williams, H. (PI); Wilson, R. (PI); Wolak, F. (PI); Wolitzky, A. (PI); Wright, G. (PI); Wright, M. (PI); Yotopoulos, P. (PI); Sheeler, P. (GP)

Terms: Aut, Win, Spr, Sum
| Units: 0
| Repeatable
for credit

Instructors: ; Abramitzky, R. (PI); Admati, A. (PI); Amador, M. (PI); Amemiya, T. (PI); Arora, A. (PI); Athey, S. (PI); Attanasio, O. (PI); Auclert, A. (PI); Bagwell, K. (PI); Baron, D. (PI); Bekaert, G. (PI); Bernheim, B. (PI); Bhattacharya, J. (PI); Bloom, N. (PI); Bocola, L. (PI); Boskin, M. (PI); Brady, D. (PI); Bresnahan, T. (PI); Bulow, J. (PI); Canellos, C. (PI); Carroll, G. (PI); Chandrasekhar, A. (PI); Chaudhary, L. (PI); Chetty, R. (PI); Clerici-Arias, M. (PI); Cogan, J. (PI); David, P. (PI); Diamond, R. (PI); Duffie, D. (PI); Duggan, M. (PI); Dupas, P. (PI); Einav, L. (PI); Fafchamps, M. (PI); Falcon, W. (PI); Fetter, D. (PI); Fitzpatrick, M. (PI); Fuchs, V. (PI); Garber, A. (PI); Gentzkow, M. (PI); Gould, A. (PI); Goulder, L. (PI); Greif, A. (PI); Haak, D. (PI); Haber, S. (PI); Hall, R. (PI); Hammond, P. (PI); Hanson, W. (PI); Hanushek, E. (PI); Harris, D. (PI); Hartmann, W. (PI); Henry, P. (PI); Hickman, B. (PI); Hong, H. (PI); Hope, N. (PI); Horvath, M. (PI); Hoxby, C. (PI); Imbens, G. (PI); Jackson, M. (PI); Jagolinzer, A. (PI); Jarosch, G. (PI); Jones, C. (PI); Jost, J. (PI); Judd, K. (PI); Kehoe, P. (PI); Kessler, D. (PI); Klenow, P. (PI); Kochar, A. (PI); Kojima, F. (PI); Kolstad, C. (PI); Koudijs, P. (PI); Kreps, D. (PI); Krueger, A. (PI); Kuran, T. (PI); Kurlat, P. (PI); Kurz, M. (PI); Lambert, N. (PI); Larsen, B. (PI); Lau, L. (PI); Lazear, E. (PI); Leeson, R. (PI); Levin, J. (PI); MaCurdy, T. (PI); Malmendier, U. (PI); McClellan, M. (PI); McKeon, S. (PI); Meier, G. (PI); Milgrom, P. (PI); Miller, G. (PI); Morten, M. (PI); Naylor, R. (PI); Niederle, M. (PI); Noll, R. (PI); Owen, B. (PI); Oyer, P. (PI); Pencavel, J. (PI); Persson, P. (PI); Piazzesi, M. (PI); Pistaferri, L. (PI); Polinsky, A. (PI); Qian, Y. (PI); Reiss, P. (PI); Richards, J. (PI); Roberts, J. (PI); Romano, J. (PI); Romer, P. (PI); Rosenberg, N. (PI); Rossi-Hansberg, E. (PI); Rosston, G. (PI); Roth, A. (PI); Royalty, A. (PI); Rozelle, S. (PI); Sargent, T. (PI); Schaffner, J. (PI); Schneider, M. (PI); Segal, I. (PI); Sharpe, W. (PI); Shotts, K. (PI); Shoven, J. (PI); Singleton, K. (PI); Skrzypacz, A. (PI); Sorkin, I. (PI); Sweeney, J. (PI); Taylor, J. (PI); Tendall, M. (PI); Topper, M. (PI); Wacziarg, R. (PI); Weingast, B. (PI); Williams, H. (PI); Wilson, R. (PI); Wolak, F. (PI); Wolitzky, A. (PI); Wright, G. (PI); Wright, M. (PI); Yotopoulos, P. (PI); Sheeler, P. (GP)