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
Instructors:
Chaves Yoshida, R. (PI)
;
Klenow, P. (PI)
;
Li, K. (PI)
...
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Instructors:
Chaves Yoshida, R. (PI)
;
Klenow, P. (PI)
;
Li, K. (PI)
;
Sorkin, I. (PI)
;
Taylor, J. (PI)
ECON 46: Networks and Human Behavior
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: Win
| Units: 5
| UG Reqs: WAY-SI, WAY-AQR
Instructors:
Jackson, M. (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: Win, Spr
| Units: 5
| UG Reqs: WAY-FR, WAY-SI
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)
...
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Instructors:
McKeon, S. (PI)
;
Crystal, M. (TA)
;
Haberman, A. (TA)
;
He, C. (TA)
;
Huang, Z. (TA)
;
Lam, N. (TA)
;
Lennie, M. (TA)
;
Love, S. (TA)
;
Roy, H. (TA)
;
Tyger, E. (TA)
;
Walter, J. (TA)
;
Yan, N. (TA)
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
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 and
Math51 (or equivalent).
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)
;
Chittaro, L. (TA)
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: Win
| Units: 5
Instructors:
Hong, H. (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
Instructors:
Li, H. (PI)
;
Rozelle, S. (PI)
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