Applied Microeconometrics II

This course reviews identification strategies used in the analysis of cross-sectional and longitudinal microdata. Techniques primarily come from applications in labour economics, health economics and industrial organization. These may include fixed and random effects models, duration analysis, instrumental variables estimators, nonparametric and semi-parametric analysis, decomposition techniques, quantile regression, difference-in-difference estimators, propensity score matching and regression discontinuity design. The primary objectives of the course are to familiarize students with current methods used in microeconometric research and provide them with hands-on experience applying these methods using an appropriate statistical software package.