Micro-econometric Techniques and Applications

Catalog description

This course provides a deeper treatment of econometric methods and issues as relevant for microeconomic applications, such as non-parametric function estimation; endogeneity and identification (strong and weak); generalized method of moments estimation; randomized and quasi-randomized methods for causal estimation; design strategies such as regression discontinuity and differences-in-differences; program evaluation; and quantile regression.