printer friendly pageECON 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)
;
Francisco Pugliese, J. (TA)
;
Huang, Z. (TA)
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Instructors:
McKeon, S. (PI)
;
Francisco Pugliese, J. (TA)
;
Huang, Z. (TA)
;
Walter, J. (TA)
;
Warnick, M. (TA)
;
Yan, N. (TA)
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)
;
Bonney, J. (TA)
ECON 102D: Econometric Methods for Public Policy Analysis and Business Decision-Making
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
Last offered: Autumn 2020
| UG Reqs: WAY-AQR
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 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
Instructors:
Naylor, R. (PI)
;
Varkey, K. (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: 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 111: Money and Banking
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
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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. Summer session students wishing to enroll who feel they have the appropriate prerequisites from another institution may submit that information, transcript or syllabus that is similar to
Econ 52, to econ-undergrad@stanford.edu.
Terms: Sum
| Units: 5
| UG Reqs: WAY-SI
ECON 112: Financial Markets and Institutions: Recent Developments
The course covers innovations, challenges and proposed changes to the financial system. Topics include new mortgage products, foreclosure rules, securitization, credit ratings, credit derivatives, dealer networks, repo financing, implications for prudential regulation & monetary policy. Emphasis is on quantitative studies of these topics. Prerequisites:
Econ 52,
Econ 102B.
Last offered: Autumn 2019
ECON 113: Historical perspectives on inequality and opportunity in America
A thematic discussion of the economic history of the United States, with emphasis on the perspective it gives on modern-day economic and social issues. Topics will include economic growth, government intervention in the economy, economic causes and consequences of slavery, immigration, women's changing role in the economy, income inequality, and economic mobility. Prerequisite:
Econ 1
Last offered: Autumn 2022
| UG Reqs: WAY-SI
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