Students will understand how to design, execute, and interpret the results from advanced estimation techniques beyond the standard OLS model. Topics will include models for binary and categorical dependent variables, instrumental variables, selection models, regression discontinuity models, survival/duration models, time-series analysis, panel and time-series-cross-sectional models.
Advisory prerequisite: A graduate-level course in linear regression.
