printer friendly pageECON 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
| Units: 5
| UG Reqs: WAY-SI, GER:DB-SocSci
ECON 11N: Understanding the Welfare System
Welfare-reform legislation passed by the federal government in the mid-1990s heralded a dramatic step in the movement that has been termed the devolution revolution, which is again being discussed in the context of healthcare reform. The centerpiece of devolution is the transfer of more responsibilities for antipoverty programs to the states. We will explore the effects of these reforms and the role that devolution plays in the ongoing debates over the designs of programs that make up America's social safety net. In addition to discussing conventional welfare programs (e.g., Medicaid, food stamps, TANF, SSI) and other governmental policies assisting low-income families (EITC, minimum wages), we will examine the trends in governmental spending on anti-poverty programs and how our nation defines poverty and eligibility for income support. We will apply economics principles throughout to understand the effectiveness of America's antipoverty programs and their consequences on the behavior and circumstances of families. Prerequisites: A basic understanding/knowledge of introductory economics is recommended.
Terms: Aut
| Units: 3
| UG Reqs: WAY-SI
Instructors:
MaCurdy, T. (PI)
ECON 47: Media Markets and Social Good
This class will apply tools from economics and related social sciences to study the functioning of digital and traditional 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, advertising, tech regulation, media bias, polarization, misinformation, social media, digital addiction, propaganda, race, gender, and the role of media in autocracy, corruption, protests and censorship. The course will give students a non-technical introduction to social science empirical methods, including regression analysis, experimental and quasi-experimental methods, and machine learning. Prerequisites: Introductory economics (e.g., AP economics or
ECON 1), introductory statistics/econometrics (e.g., AP statistics,
ECON 102a, or
STATS 60), and some prior exposure to programming.
Terms: Aut
| Units: 5
| UG Reqs: WAY-SI, WAY-AQR
Instructors:
Gentzkow, 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 20 or equivalent.
Terms: Aut, Spr
| Units: 5
| UG Reqs: WAY-SI, WAY-FR, GER:DB-Math
Instructors:
Makler, C. (PI)
ECON 50Q: Economic Analysis I (Quantitative)
This course covers the same material as
Econ 50, but is geared toward students who already have a solid foundation in multivariable calculus and want to take a more quantitative approach to economic analysis. It shares lectures with
Econ 50 but has different sections, additional readings, and more quantitative problem sets and exams. Prerequisites:
Econ 1,
Math 20; students should have taken
Math 51,
CME 100, or equivalent in order to be successful.
Terms: Aut
| Units: 5
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: Aut, 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: WAY-AQR, GER:DB-Math, WAY-SI
Instructors:
McKeon, S. (PI)
;
Crystal, M. (TA)
;
Haberman, A. (TA)
...
more instructors for ECON 102A »
Instructors:
McKeon, S. (PI)
;
Crystal, M. (TA)
;
Haberman, A. (TA)
;
He, C. (TA)
;
Lennie, M. (TA)
;
Love, S. (TA)
;
Tyger, E. (TA)
;
Yan, N. (TA)
ECON 115: Causality, Decision Making and Data Science (CS 171, DATASCI 161)
Policymakers often need to make decisions when the implications of those decisions are not known with certainty. In many cases they rely in part on statistical evidence to guide these decisions. This requires statistical methods for estimating causal effects, that is the impact of these interventions. In this course we study how to analyze causal questions using statistical methods. We look at several causal questions in detail. For each case, we study various statistical and econometric methods that may shed light on these questions. We discuss what the critical assumptions are that underly these methods and how to assess whether the methods are appropriate for the settings at hand. We then analyze data sets, partly in class, and partly in assignments, to see how much we learn in practice. Pre-requisites: One quarter course in statistics, at the level of
STATS 116 or
STATS 117. Programming experience with Python will be helpful but is not required. Note: Enrollment is limited and you need a permission number to enroll in this course. If you are interested, please fill out this form, ideally before September 12:
https://forms.gle/ND9LHBjXjpvShPBi6
Terms: Aut
| Units: 3
Instructors:
Imbens, G. (PI)
;
Wootters, M. (SI)
ECON 126: Economics of Health and Medical Care (BIOMEDIN 156, BIOMEDIN 256, HRP 256)
Institutional, theoretical, and empirical analysis of the problems of health and medical care. Topics: demand for medical care and medical insurance; institutions in the health sector; economics of information applied to the market for health insurance and for health care; economics of health care labor markets and health care production; and economic epidemiology. Graduate students with research interests should take
ECON 249. Prerequisites:
ECON 50 and either
ECON 102A or
STATS 116 or the equivalent. Recommended:
ECON 51.
Terms: Aut
| Units: 5
| UG Reqs: WAY-SI
Instructors:
Bhattacharya, J. (PI)
;
MaCurdy, T. (PI)
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