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ECON 1: Principles of Economics

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

ECON 52: Economic Analysis III

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 | Units: 5 | UG Reqs: WAY-SI
Instructors: ; Boul, R. (PI)

ECON 101: Economic Policy Seminar

Capstone and writing in the major course open to Econ majors only. Economic policy analysis, writing and oral presentations will be large components of this course. Students may also complete group projects that include empirical economic analysis focused on a specific topic. The goal of this course is to enable students to utilize the skills they have acquired throughout their time in the major. Section topics vary by instructor. Enrollment limited to application at the start of each school year with student placement notifications before the term starts. Permission numbers will be provided to students. Limited to students applying to graduate in 2023-24. Prerequisites: Econ 51 and 52, 102B, and two field courses. Enrollment by application: https://economics.stanford.edu/forms.
Terms: Aut, Win, Spr | Units: 5 | UG Reqs: WAY-SI | Repeatable for credit

ECON 102A: Introduction to Statistical Methods (Postcalculus) for Social Scientists

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 | Units: 5 | UG Reqs: GER:DB-Math, WAY-AQR, WAY-SI
Instructors: ; McKeon, S. (PI)

ECON 102B: Applied Econometrics

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 | Units: 5 | UG Reqs: WAY-AQR, WAY-SI
Instructors: ; McKeon, S. (PI)

ECON 102C: Advanced Topics in Econometrics

This is an advanced econometrics class targeted to students who want to go deeper into and/or expand their knowledge of topics firstly learned in Econ 102B (or equivalent class). Topics include: Instrumental variables estimation; Panel data models (fixed and random effect models, dynamic panel data models); Limited dependent variable models (probit, logit, Tobit) and selection models; models for Duration data; Bootstrap and Estimation by Simulation. Applications from Labor Economics and Public Finance will be used to motivate the discussion. Prerequisite: Econ 102B
Terms: Win | Units: 5 | UG Reqs: WAY-AQR, WAY-SI
Instructors: ; Pistaferri, L. (PI)

ECON 105: Economic Forecasting

The objective of the course is to introduce you to time series analysis and forecasting methods. Students will master a mix of theoretical and applied econometrics techniques used in macroeconomic and financial applications. Topics to be covered potentially include but are not limited to: regression from a predictive viewpoint; forecasting trends and seasonality; exponential smoothing models; ARMA models; stochastic trends, unit roots, and cointegration; structural breaks; point, interval and density forecasts; forecast evaluation and combination; vector autoregression including impulse-response estimation and analysis; dynamic factor models; volatility forecasting using GARCH models; conditional forecasting models and scenario analysis. The course emphasizes hands-on experience, and all students will acquire knowledge of the programming language R in the context of time series models and forecasting. Prerequisites: ECON 102B. Students with a strong background in Statistics may reach out to the Economics Undergraduate office for permission to enroll.
Terms: Win | Units: 5
Instructors: ; Boul, R. (PI)

ECON 131: The Chinese Economy

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. Same as OSPBEIJ 30. Students may not earn credit for both OSPBEIJ 30 and ECON 131.
Terms: Win | Units: 5 | UG Reqs: WAY-SI

ECON 139D: Directed Reading

May be repeated for credit.
Terms: Aut, Win, Spr | Units: 1-10 | Repeatable for credit

ECON 141: Financial Markets

This class provides an introduction to financial markets. We cover major financial instruments -- bonds, bank loans, equity and derivatives -- and how their prices are determined. What are the key financial institutions that lend, provide liquidity and make markets. What role does the government play through regulation, monetary policy, bailouts and other interventions during financial crises. First we teach basic principles of modern finance. Then we focus on recent developments (digital currencies provided by central banks or the private sector, climate finance.) An important component of the course are online games that we play to mimic what we see in financial markets. These games highlight the importance of heterogeneous investor beliefs, risk exposures, and market frictions for asset trading and valuation.
Terms: Win | Units: 5

ECON 144: Family and Society

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
Instructors: ; Persson, P. (PI)

ECON 146: Economics of Education

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: Win | Units: 5 | UG Reqs: WAY-SI
Instructors: ; Hoxby, C. (PI)

ECON 149: The Modern Firm in Theory and Practice

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

ECON 150: Economic Policy Analysis (PUBLPOL 104, PUBLPOL 204)

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: PUBLPOL 50 or ECON 50. Students are also strongly encouraged to either complete ECON 102B prior to taking this course or take ECON 102B concurrently with this course. 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)

ECON 155: Environmental Economics and Policy

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 for Undergraduates: ECON 50. May be taken concurrently with consent of the instructor.
Terms: Win | Units: 5 | UG Reqs: GER: DB-NatSci, WAY-SI
Instructors: ; Goulder, L. (PI); Yan, J. (GP)

ECON 156: Energy Markets and Policy (ECON 256, INTLPOL 276)

This is a course on how energy and environmental markets work, and the regulatory mechanisms that have been and can be used to achieve desired policy goals. Throughout the course students play the roles of electricity generators, electricity retailers, energy traders, and electricity consumers in order to gain an understanding of how energy and environmental policies (including environmental regulations and renewable energy mandates) affect the business strategy of market participants - and in turn economic and environmental outcomes. The goal of the course is to provide students with both theoretical and hands-on understanding of important energy and environmental market concepts that are critical to market functioning but not always widely appreciated. The course is useful background for private sector roles in energy production, research, management, trading, investment, and government and regulatory affairs; government positions in policymaking and regulation; research and policy functions in academia, think tanks, or consultancies; and non-profit advocacy roles related to energy and the environment. Econ 1 recommended.
Terms: Win | Units: 3-5
Instructors: ; Wolak, F. (PI)

ECON 178: Behavioral Economics

The field of behavioral economics draws on insights from other disciplines, especially psychology, to enrich our understanding of economic behavior. In this course, we will discuss how psychological considerations can create behavioral patterns that diverge from the predictions of standard economic models, the implications of those behavioral patterns for market outcomes and public policies, and the ways in which economists incorporate those considerations into their theories. We will also examine how social motives (such as altruism or concerns about fairness, equity, status, or image) impact economic behavior. We will learn about classical findings and leading theories in behavioral economics. The treatment of psychological phenomena in this course involves tools similar to those employed in other economics courses. Prerequisites: ECON 50 and ECON 102A. Econ 51 and 102B are recommended.
Terms: Win | Units: 5 | UG Reqs: WAY-SI
Instructors: ; Clerici-Arias, M. (PI)

ECON 184: Institutional Investment Management: Theory and Practice

This course provides an introduction to the theory and practice of institutional investment management, including asset allocation and manager selection across public and private equity, absolute return, real assets, and fixed income. The course is taught by the CIO of Stanford's endowment, along with other members of the investment team, and takes the perspective of an institution with a long-term investment horizon. We introduce and apply a framework for assessing investment strategies and investment firms. Students put theory into practice with guest speakers from leading investment firms, including partners at venture capital firms, real estate partnerships, and hedge funds. Enrollment is capped at 20. All majors are welcome. To apply please send a one to two paragraph statement of interest and an unofficial transcript to econ184@ smc.stanford.edu by December 3, 2023. Econ 1 and Econ 102A, Stats 60, or equivalent courses recommended and may be taken concurrently. Lunch will be provided for each Monday lecture.
Terms: Win | Units: 4

ECON 199D: Honors Thesis Research

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

ECON 200: First-Year Seminar

Restricted to Economics PhD students in their first year. Must be taken in both Winter and Spring Quarters. Enrollment by permission number only.
Terms: Win, Spr | Units: 1 | Repeatable 2 times (up to 2 units total)
Instructors: ; Morten, M. (PI)

ECON 203: Microeconomics II

(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, bargaining theory. Enrollment is limited to Econ PhD students for the first two weeks of open enrollment, after which the remaining space will be available to all other interested students. Prerequisite: ECON 202.
Terms: Win | Units: 3-5
Instructors: ; Milgrom, P. (PI)

ECON 211: Macroeconomics II

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. Enrollment is limited to Econ PhD students for the first two weeks of open enrollment, after which the remaining space will be available to all other interested students. Prerequisite: ECON 210.
Terms: Win | Units: 3-5

ECON 229: Topics in Economic History

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)

ECON 234: Advanced Macroeconomics II

Course Description: This is an advanced class in macroeconomics. We cover monetary and business cycles models, labor models, and HANK models. We emphasize solution methods in continuous and discrete time. 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

ECON 237: Heterogeneity in Macroeconomics

The goal of this course is to introduce students to frontier research in quantitative macroeconomics and finance with heterogeneous agents. We study models with imperfect financial markets and/or search frictions. We emphasize theory and numerical methods as well as tools to confront model predictions with both micro and macro data. Potential applications cover a wide range of topics in household finance, corporate finance and firm dynamics, asset pricing, housing and labor markets, business cycles and growth. (Same as MGTECON 617)
Terms: Win | Units: 3-5

ECON 239D: Directed Reading

May be repeated for credit.
Terms: Aut, Win, Spr, Sum | Units: 1-10 | Repeatable for credit
Instructors: ; Abramitzky, R. (PI); Allcott, H. (PI); Amemiya, T. (PI); Athey, S. (PI); Auclert, A. (PI); Bagwell, K. (PI); Baker, L. (PI); Bernheim, B. (PI); Bhattacharya, J. (PI); Bloom, N. (PI); Bocola, L. (PI); Boskin, M. (PI); Bresnahan, T. (PI); Brynjolfsson, E. (PI); Bulow, J. (PI); Callander, S. (PI); Chandrasekhar, A. (PI); Clerici-Arias, M. (PI); Cuesta, J. (PI); Diamond, R. (PI); Duffie, D. (PI); Duggan, M. (PI); Dupas, P. (PI); Einav, L. (PI); Fafchamps, M. (PI); Fearon, J. (PI); Fetter, D. (PI); Gentzkow, M. (PI); Goldin, J. (PI); Goulder, L. (PI); Greif, A. (PI); Haber, S. (PI); Hall, R. (PI); Hammond, P. (PI); Harris, D. (PI); Harstad, B. (PI); Hong, H. (PI); Hoxby, C. (PI); Imbens, G. (PI); Jackson, M. (PI); Jagadeesan, R. (PI); Jha, S. (PI); Kehoe, P. (PI); Klenow, P. (PI); Krueger, A. (PI); Kurz, M. (PI); Lau, L. (PI); Levin, J. (PI); Li, H. (PI); MaCurdy, T. (PI); Mahoney, N. (PI); Makler, C. (PI); McKeon, S. (PI); Milgrom, P. (PI); Miller, G. (PI); Morten, M. (PI); Naylor, R. (PI); Niederle, M. (PI); Noll, R. (PI); Pencavel, J. (PI); Persson, P. (PI); Piazzesi, M. (PI); Pistaferri, L. (PI); Reiss, P. (PI); Romano, J. (PI); Rossin-Slater, M. (PI); Rosston, G. (PI); Roth, A. (PI); Sargent, T. (PI); Schneider, M. (PI); Segal, I. (PI); Shoven, J. (PI); Singleton, K. (PI); Skrzypacz, A. (PI); Sorkin, I. (PI); Spiess, J. (PI); Starrett, D. (PI); Taylor, J. (PI); Tendall, M. (PI); Voena, A. (PI); Williams, H. (PI); Wolak, F. (PI); Wright, G. (PI); Zambrano, D. (PI)

ECON 242: Public Economics II

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 or equivalent with consent of instructor. Recommended: Econ 241.270, 271, or equivalent with consent of instructor.
Terms: Win | Units: 3-5

ECON 245: Economics of Gender

The class will cover advances in the study of gender from Behavioral, Experimental and Labor Economics, e.g. traits in which women and men differ and what impact this may have for education and labor market outcomes. It will also examine gender differences in labor market outcomes and the role of policies and institutions in affecting these differences.
Terms: Win | Units: 2-5

ECON 247: Labor Economics II

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 - one student nicknamed this 'the greatest hits of applied micro'. 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. Students write a term-paper.
Terms: Win | Units: 3-5
Instructors: ; Bloom, N. (PI)

ECON 256: Energy Markets and Policy (ECON 156, INTLPOL 276)

This is a course on how energy and environmental markets work, and the regulatory mechanisms that have been and can be used to achieve desired policy goals. Throughout the course students play the roles of electricity generators, electricity retailers, energy traders, and electricity consumers in order to gain an understanding of how energy and environmental policies (including environmental regulations and renewable energy mandates) affect the business strategy of market participants - and in turn economic and environmental outcomes. The goal of the course is to provide students with both theoretical and hands-on understanding of important energy and environmental market concepts that are critical to market functioning but not always widely appreciated. The course is useful background for private sector roles in energy production, research, management, trading, investment, and government and regulatory affairs; government positions in policymaking and regulation; research and policy functions in academia, think tanks, or consultancies; and non-profit advocacy roles related to energy and the environment. Econ 1 recommended.
Terms: Win | Units: 3-5
Instructors: ; Wolak, F. (PI)

ECON 258: Industrial Organization IIA

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

ECON 266: International Trade I

The first part of this course covers Ricardian, factor-proportions and monopolistic-competition models of international trade. The second part of the course covers commercial policy, with an emphasis on the economics of trade agreements. Students are expected to develop and present a research proposal. Prerequisites: Econ 202 or permission of instructor.
Terms: Win | Units: 3-5
Instructors: ; Bagwell, K. (PI)

ECON 271: Intermediate Econometrics II

Second course in the PhD sequence in econometrics at the Economics Department (as Econ 271) and at the GSB (as MGTECON 604). This course presents modern econometric methods with a focus on regression. Among the topics covered are: linear regression and its interpretation, robust inference, asymptotic theory for maximum-likelihood und other extremum estimators, generalized method of moments, Bayesian regression, high-dimensional and non-parametric regression, binary and multinomial discrete choice, resampling methods, linear time-series models, and state-space models. As a prerequisite, this course assumes working knowledge of probability theory and statistics as covered in Econ 270/MGTECON 603. Enrollment is limited to Econ PhD students for the first two weeks of open enrollment, after which the remaining space will be available to all other interested students. Prerequisites: Econ 270/MGTECON 603 or equivalent.
Terms: Win | Units: 3-5

ECON 273: Advanced Econometrics I

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)

ECON 279: Behavioral and Experimental Economics II

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)

ECON 282: Contracts, Information, and Incentives

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)

ECON 287: Topics in Market Design (MS&E 365)

Market design is a field that links the rules of the of the marketplace to understand frictions, externalities and more generally economic outcomes. The course provides theoretical foundations on assignment and matching mechanisms as well as mechanism design. Emphasis on theories at the intersection of economics, CS and operations as well as applications that arise in labor markets, organ allocation, platforms. Exposes students to timely market design challenges. Guest lectures and a research project. The class offers an opportunity to begin a research project. Students read and critique papers and write and present a final paper.
Terms: Win | Units: 3 | Repeatable for credit
Instructors: ; Ashlagi, I. (PI)

ECON 291: Social and Economic Networks

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: Win | Units: 3-5
Instructors: ; Chandrasekhar, A. (PI)

ECON 294: Continuous-time Methods in Economics and Finance

Continuous-time methods can, in many cases, lead to more powerful models to understand economic phenomena. The Black-Scholes option-pricing formula is significantly more tractable than discrete- time methods of option pricing based on binomial trees. There is an established tradition in continuous-time asset pricing, and there is increasing use of these methods in other fields, such as game theory, contract theory, market microstructure and macroeconomics. The goal of this class is to explore some of the old classic research as well as new economic models, and to discover areas of economics where continuous-time methods can help. The intention is to give graduate students a tool, which they can use to gain comparative advantage in their research, when they see appropriate. With this goal in mind, 25% of the class will focus on mathematics, but with economically relevant examples to illustrate the mathematical results. Up to one half of the class will cover established models, and the rest will focus on new papers. If students have their own work that uses continuous time, we can take a look at that as well. Coursework will include biweekly problem sets and a take-home final exam. There will also be room for short student presentations (related to homework assignments, economic papers, or definitions and results related to specific math concepts).
Terms: Win | Units: 3

ECON 299: Practical Training

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); Akbarpour, M. (PI); Allcott, H. (PI); Amemiya, T. (PI); Arora, A. (PI); Athey, S. (PI); Attanasio, O. (PI); Auclert, A. (PI); Bagwell, K. (PI); Baker, L. (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); Brynjolfsson, E. (PI); Bulow, J. (PI); Callander, S. (PI); Canellos, C. (PI); Carroll, G. (PI); Chandrasekhar, A. (PI); Chaudhary, L. (PI); Clerici-Arias, M. (PI); Cogan, J. (PI); Cuesta, J. (PI); Diamond, R. (PI); Duffie, D. (PI); Duggan, M. (PI); Dupas, P. (PI); Einav, L. (PI); Fafchamps, M. (PI); Fearon, J. (PI); Fetter, D. (PI); Fitzpatrick, M. (PI); Garber, A. (PI); Gentzkow, M. (PI); Goldin, J. (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); Harstad, B. (PI); Hartmann, W. (PI); Henry, P. (PI); Hong, H. (PI); Hope, N. (PI); Horvath, M. (PI); Hoxby, C. (PI); Imbens, G. (PI); Jackson, M. (PI); Jagadeesan, R. (PI); Jagolinzer, A. (PI); Jha, S. (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); Krueger, A. (PI); Kuran, T. (PI); Kurlat, P. (PI); Kurz, M. (PI); Larsen, B. (PI); Lau, L. (PI); Levin, J. (PI); Li, H. (PI); MaCurdy, T. (PI); Mahoney, N. (PI); Makler, C. (PI); Malmendier, U. (PI); McClellan, M. (PI); McKeon, S. (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); 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); Rossi-Hansberg, E. (PI); Rossin-Slater, M. (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); Spiess, J. (PI); Sweeney, J. (PI); Taylor, J. (PI); Tendall, M. (PI); Topper, M. (PI); Voena, A. (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)

ECON 310: Macroeconomic Seminar

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

ECON 315: Development Seminar

Information and meeting times are available on the Department of Economics Website: https://economics.stanford.edu/seminars-events/list-seminars
Terms: Aut, Win, Spr | Units: 1-10 | Repeatable for credit

ECON 325: Economic History Seminar

May be repeated for credit. Information and meeting times are available on the Department of Economics Website: https://economics.stanford.edu/seminars-events/list-seminars
Terms: Aut, Win, Spr | Units: 1-10 | Repeatable for credit

ECON 335: Experimental/Behavioral Seminar

Field seminar in experimental and behavioral economics.
Terms: Aut, Win, Spr | Units: 1-10 | Repeatable for credit

ECON 341: Public Economics and Environmental Economics Seminar

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

ECON 345: Labor Economics Seminar

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

ECON 355: Industrial Organization Seminar

Information and meeting times are available on the Department of Economics Website: https://economics.stanford.edu/seminars-events/list-seminars
Terms: Aut, Win, Spr | Units: 1-10 | Repeatable for credit

ECON 370: Econometrics Seminar

Information and meeting times are available on the Department of Economics Website: https://economics.stanford.edu/seminars-events/list-seminars
Terms: Aut, Win, Spr | Units: 1-10 | Repeatable for credit

ECON 391: Microeconomic Theory Seminar

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

ECON 801: TGR Project

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

ECON 802: TGR Dissertation

Terms: Aut, Win, Spr, Sum | Units: 0 | Repeatable for credit
Instructors: ; Abramitzky, R. (PI); Allcott, H. (PI); Amemiya, T. (PI); Arora, A. (PI); Athey, S. (PI); Attanasio, O. (PI); Auclert, A. (PI); Bagwell, K. (PI); Baker, L. (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); Brynjolfsson, E. (PI); Bulow, J. (PI); Callander, S. (PI); Canellos, C. (PI); Chandrasekhar, A. (PI); Chaudhary, L. (PI); Clerici-Arias, M. (PI); Cogan, J. (PI); Cuesta, J. (PI); Diamond, R. (PI); Duffie, D. (PI); Duggan, M. (PI); Dupas, P. (PI); Einav, L. (PI); Fafchamps, M. (PI); Fearon, J. (PI); Fetter, D. (PI); Garber, A. (PI); Gentzkow, M. (PI); Goldin, J. (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); Harstad, B. (PI); Hartmann, W. (PI); Henry, P. (PI); Hong, H. (PI); Hope, N. (PI); Horvath, M. (PI); Hoxby, C. (PI); Imbens, G. (PI); Jackson, M. (PI); Jagadeesan, R. (PI); Jagolinzer, A. (PI); Jha, S. (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); Krueger, A. (PI); Kuran, T. (PI); Kurlat, P. (PI); Kurz, M. (PI); Lau, L. (PI); Levin, J. (PI); Li, H. (PI); MaCurdy, T. (PI); Mahoney, N. (PI); Makler, C. (PI); Malmendier, U. (PI); McClellan, M. (PI); McKeon, S. (PI); Milgrom, P. (PI); Miller, G. (PI); Morten, M. (PI); Naylor, R. (PI); Niederle, M. (PI); Noll, R. (PI); Owen, B. (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); Rossi-Hansberg, E. (PI); Rossin-Slater, M. (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); Spiess, J. (PI); Sweeney, J. (PI); Taylor, J. (PI); Tendall, M. (PI); Topper, M. (PI); Voena, A. (PI); Wacziarg, R. (PI); Weingast, B. (PI); Williams, H. (PI); Wilson, R. (PI); Wolak, F. (PI); Wright, G. (PI); Wright, M. (PI)
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