Print Settings
 

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 43: Introduction to Financial Decision-Making

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. Small breakout sessions with other students will focus on applying the material to developing and analyzing the options available to you and the tradeoffs among them in the situations you will face, from job choice to home purchase to investing. 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, obtaining and using credit and loans, saving, investing in stocks, bonds, mutual funds, ETFs, options and other assets, venture capital and private equity, purchasing insurance, purchasing vs. renting a home, getting a mortgage, taxes, inflation and inflation protection, financial markets and financial advisors.
Terms: Spr | Units: 1-5 | UG Reqs: WAY-SI
Instructors: ; Boskin, M. (PI)

ECON 50: Economic Analysis I

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, Spr | Units: 5 | UG Reqs: GER:DB-Math, WAY-FR, WAY-SI
Instructors: ; Makler, C. (PI)

ECON 51: Economic Analysis II

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

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 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 106: World Food Economy (EARTHSYS 106, EARTHSYS 206, ECON 206, ESS 106, ESS 206)

The World Food Economy is a survey course that covers the economic and political dimensions of food production, consumption, and trade. The course focuses on food markets and food policy within a global context. It is comprised of three major sections: structural features (agronomic, technological, and economic) that determine the nature of domestic food systems; the role of domestic food and agricultural policies in international markets; and the integrating forces of international research, trade, and food aid in the world food economy. This 5-unit course entails a substantial group modeling project that is required for all students. Enrollment is by application only. The application is found at https://economics.stanford.edu/undergraduate/forms. Applications will be reviewed on a first-come, first-serve basis, and priority will be given to upper-level undergraduates who need the course for their major, and to graduate students pursuing work directly related to the course. The application submission period will close on March 15
Terms: Spr | Units: 5 | UG Reqs: WAY-SI

ECON 108: Data Science for Business and Economic Decisions

This course will teach from a textbook written by a prominent economist with leading expertise in data science and machine learning. Students will be presented with statistical techniques to process big data for making business and economics decisions. Topics may include statistical uncertainty, regression, classification and factor analysis, experimentations and controls, frameworks for causal inference. We will also explore the relations between nonparametric econometrics, machine learning and artificial intelligence. The statistical package R will be used to illustrate concepts and theory. Prerequisites: Econ 102A or equivalent and Econ 102B.
Terms: Spr | Units: 5
Instructors: ; Hong, H. (PI)

ECON 109: Economics from Outer Space

The possibilities for economic measurement have been transformed through observation of the earth from satellites. In this course, we will study the array of possibilities in free and commercial imagery, and link up to applications in economic research and industry. The course will start from the physics foundations of how satellites see the earth, examine measurement opportunities at all frequencies, show research and business applications, and carry the student to the point of writing code in Julia for one small problem. Pre-requisites: ECON 1
Terms: Spr | Units: 5
Instructors: ; Patnaik, M. (PI)

ECON 118: Development Economics

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: Spr | Units: 5 | UG Reqs: GER:EC-GlobalCom, WAY-AQR, WAY-SI
Instructors: ; Saavedra Pineda, S. (PI)

ECON 125: Economic Development, Microfinance, and Social Networks

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)

ECON 134: Wealth of Nations (POLISCI 244C)

Why are there economic disparities across countries? Why did some countries grow steadily over the past 200 years while many others did not? What have been the consequences for the citizens of those countries? What has been the role of geography, culture, and institutions in the development process? What are the moral dilemmas behind this development process? These are some of the questions we will discuss in this course. Following a historical and cross-cultural perspective, we will study the origins of economic development and the path that led to the configuration of the modern global economy.
Terms: Spr | Units: 5 | UG Reqs: WAY-SI
Instructors: ; Mejia Cubillos, J. (PI)

ECON 136: Market Design

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: Spr | Units: 5 | UG Reqs: WAY-FR
Instructors: ; Milgrom, P. (PI)

ECON 137: Decision Modeling and Information

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

ECON 139D: Directed Reading

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

ECON 154: Law and Economics (PUBLPOL 106, PUBLPOL 206)

In this course, we explore the role of law in promoting social well-being (happiness). Law, among its other benefits, can serve as a mechanism to harmonize private incentives with cooperative gains, to maintain an equitable division of those gains, and to deter social defection and dystopia. Law is thus an implementation of the social contract and essential to civilization. Economic analysis of law focuses on the welfare-enhancing incentive effects of law (and of law enforcement). More generally, we study the law's role in reducing the risks of cooperation, achieved by fixing expectations of what courts or the state will do in possible futures. Prerequisite: ECON 50 or PUBLPOL 50. Final paper instead of an exam. Instructor consent required for enrollment. Please email the instructor a short statement of interest (300 words max) explaining why you would like to enroll in the course.
Terms: Spr | Units: 4-5 | UG Reqs: WAY-SI
Instructors: ; Vasquez Duque, O. (PI)

ECON 163: Solving Social Problems with Data (COMM 140X, DATASCI 154, EARTHSYS 153, MS&E 134, POLISCI 154, PUBLPOL 155, SOC 127)

Introduces students to the interdisciplinary intersection of data science and the social sciences through an in-depth examination of contemporary social problems. Provides a foundational skill set for solving social problems with data including quantitative analysis, modeling approaches from the social sciences and engineering, and coding skills for working directly with big data. Students will also consider the ethical dimensions of working with data and learn strategies for translating quantitative results into actionable policies and recommendations. Lectures will introduce students to the methods of data science and social science and apply these frameworks to critical 21st century challenges, including education & inequality, political polarization, and health equity & algorithmic design in the fall quarter, and social media, climate change, and school choice & segregation in the spring quarter. In-class exercises and problem sets will provide students with the opportunity to use real-world datasets to discover meaningful insights for policymakers and communities. This course is the required gateway course for the new major in Data Science & Social Systems. Preference given to Data Science & Social Systems B.A. majors and prospective majors. Course material and presentation will be at an introductory level. Enrollment and participation in one discussion section is required. Sign up for the discussion section will occur on Canvas at the start of the quarter. Prerequisites: CS106A (required), DATASCI 112 (recommended as pre or corequisite). Limited enrollment. Please complete the interest form here: https://forms.gle/8ui9RPgzxjGxJ9k29. A permission code will be given to admitted students to register for the class.
Terms: Aut, Spr | Units: 5 | UG Reqs: WAY-AQR, WAY-SI

ECON 185: Data Science for Environmental Business (PUBLPOL 185, SUSTAIN 135, SUSTAIN 235)

Are you interested in clean tech and sustainability? Do you like working with data or plan to manage data scientists? Do you want to find a socially impactful job? If so, Data Science for Environmental Business is for you. Each week, we'll have a guest speaker from a utility, venture capital firm, clean tech startup, renewable energy developer, or some other sustainability-related business. We'll do a quantitative case study of one of the speaker's business problems, such as carbon footprint measurement, supply chain decarbonization, techno-economic analysis, where to site renewable energy facilities, how to value electricity storage, or predicting demand for electric vehicles. Then in the next class, we'll discuss the analytical decisions you made on the case study and the business implications of your results. We aim to draw a mix of students from the GSB, engineering, sustainability, data science, computer science, economics, math, and other fields. Students registering through the GSB should expect a roughly standard MBA class workload. Students registering through non-GSB course numbers should expect a serious data science course where you'll learn and apply new methods. We hope to develop a pipeline of students working for the guest speakers and similar firms. Prerequisites: You must know basic statistics and regression analysis (e.g., ECON 102 or 108, CS 129, EARTHSYS 140, HUMBIO 88, POLISCI 150C, or STATS 60 or 101). You should also have at least some experience with data analysis in R, python, Stata, MATLAB, or something similar. If you plan to take microeconomics (e.g., ECON 1, 50, or 51) or empirical environmental economics (ECON 177), we recommend you take those either beforehand or concurrently.
Terms: Spr | Units: 5

ECON 198: Junior Honors Seminar (PUBLPOL 197)

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)

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 204: Microeconomics III

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. 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 and 203.
Terms: Spr | Units: 3-5

ECON 206: World Food Economy (EARTHSYS 106, EARTHSYS 206, ECON 106, ESS 106, ESS 206)

The World Food Economy is a survey course that covers the economic and political dimensions of food production, consumption, and trade. The course focuses on food markets and food policy within a global context. It is comprised of three major sections: structural features (agronomic, technological, and economic) that determine the nature of domestic food systems; the role of domestic food and agricultural policies in international markets; and the integrating forces of international research, trade, and food aid in the world food economy. This 5-unit course entails a substantial group modeling project that is required for all students. Enrollment is by application only. The application is found at https://economics.stanford.edu/undergraduate/forms. Applications will be reviewed on a first-come, first-serve basis, and priority will be given to upper-level undergraduates who need the course for their major, and to graduate students pursuing work directly related to the course. The application submission period will close on March 15
Terms: Spr | Units: 5

ECON 212: Macroeconomics III

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. 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 203, ECON 210, ECON 211.
Terms: Spr | Units: 3-5

ECON 216: Development Economics III

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)

ECON 220: Political Economy I (POLISCI 460A)

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: Spr | Units: 3-5

ECON 226: Topics in US and international economic history

The role of economic history as a distinctive approach to the study of economics, using illustrations from U.S. history and topics in international economics. Topics focused on the US include: historical and institutional foundations of US economic growth; economic causes and consequences of slavery; women's changing role in the economy; inequality and intergenerational mobility; the growth of social insurance. Topics in international economics include globalization of goods and capital flows and their impact on growth, financial and sovereign debt crises, and financial institutions. Enrollment limited to graduate students.
Terms: Spr | Units: 2-5
Instructors: ; Giorcelli, M. (PI)

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 243: Public Economics III

This class will cover topics in public economics, including those relating to regulation of consumer financial markets and the health care sector, among others. The class will cover recent publications, with the intention of preparing students to conduct their own research. Prerequisites: Econ 202, 203, 204, 270, 271, or the consent of the instructor. Recommended: Econ 241 and 242.
Terms: Spr | Units: 3-5
Instructors: ; Mahoney, N. (PI)

ECON 248: Labor Economics III

Theories of earnings determination with particular attention to the role of imperfect competition. Human capital theory with particular attention to education decisions and the industrial organization of the education sector. Prerequisites: assumes first-year sequences in macroeconomics, microeconomics, and econometrics.
Terms: Spr | Units: 3-5

ECON 249: Topics in Health Economics I (HRP 249, MED 249)

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

ECON 260: Industrial Organization III

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

ECON 268: International Finance and Exchange Rates

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)

ECON 269: International Finance and Exchange Rates II

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)

ECON 272: Intermediate Econometrics III: Methods for Applied Econometrics

Methods for modern causal inference, including identification, matching methods, instrumental variables, regression discontinuity designs, difference in differences, synthetic control methods. Prerequisites: Econ 271 or permission of instructor.
Terms: Spr | Units: 3-5

ECON 274: Advanced Econometrics II

(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)

ECON 280: Behavioral and Experimental Economics III

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

ECON 284: Simplicity and Complexity in Economic Theory (CS 360)

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)

ECON 290: Multiperson Decision Theory

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

ECON 295: The AI Awakening: Implications for the Economy and Society

This course will explore how the advances in AI can and will transform our economy and society in the coming years. Each week, we will learn from a guest speaker at the frontier of AI, economics, government or industry, read the relevant research, and discuss the implications. Primarily for graduate students in economics, business or computer science. Enrollment by application, opening in February 2024: https://digitaleconomy.stanford.edu/about/the-ai-awakening-implications-for-the-economy-and-society/
Terms: Spr | Units: 3
Instructors: ; Brynjolfsson, E. (PI)

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 300: Third-Year Seminar

Restricted to Economics Ph.D. students. Students present current research. May be repeated for credit.
Terms: Aut, Spr | Units: 3-10 | Repeatable for credit

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)
© Stanford University | Terms of Use | Copyright Complaints