Micro-econometric Techniques and Applications

1 Course Unit

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. Fall or Spring Prerequisite: ECON 2100 AND ECON 2310 AND (MATH 1400 OR MATH 1070) AND (MATH 1410 OR MATH 1510 OR MATH 1080) 1 Course Unit