SS 228 abc
Applied Empirical Methods in the Social Sciences
9 units (3-0-6) |
first, third terms
Course covers methods used in contemporary applied empirical work in a variety of social sciences. Topics covered include (a) maximum likelihood, Bayesian estimation, management and computation of large datasets, (b) reduced form methods like instrumental variables (IV), difference-in-differences (DID), natural experiments, event study and panel data methods, and (c) structural estimation. Emphasis is on the application of tools to substantive social science problems rather than statistical theory, in areas including political science, political economy, corporate finance, and accounting. Application focus will vary with instructor interests.
The online version of the Caltech Catalog is provided as a convenience; however, the printed version is the only
authoritative source of information about course offerings, option requirements, graduation requirements,
and other important topics.