Econometrics I
ECON 2110
Subject & Catalog Number
Course Information
Description
Economics 2110 and 2115 comprise a two-course sequence for first-year Ph.D. students seeking training in econometric methods at a level that prepares them to conduct professional empirical research. Economics 2110 (fall) reviews probability and statistics, then covers the fundamentals of modern econometrics, with a focus on regression methods for causal inference in observational and experimental data. Prerequisites: undergraduate courses in probability and statistics, regression analysis, linear algebra, and multivariate calculus.
Course Notes
Enrollment limited to PhD candidates in economics, business economics, health policy, public policy, and political economy and government (PEG).
Recommended Prep
The two-course sequence is open only to qualified PhD students from HKS, HBS, GSE, and HSPH, but occasionally others may be admitted at the discretion of the instructor (if the instructor is convinced that such individuals can perform well and would not negatively affect the nature and pace of the course).
Available for Harvard Cross Registration
