These course materials are restricted to course participants only. Click on the links below to access pdfs.
COURSE OUTLINE
- Introduction and general discussion on microeconometric methods
- Basic data analysis in Stata
- OLS and GLS regressions
- Robust and clustered standard errors
- Regression analysis, prediction and specification tests
- IV estimators: IV, 2SLS and GMM
- Testing for endogeneity and overindentifying restrictions
- Weak instruments
- Binary response models: Linear Probability Model, Probit and Logit
- Multinomial response models: Multinomial Logit
- Censored models: Tobit and Selection models
- Regression methods
- Propensity score matching
- Simulation applications
- Bootstrap methods
- Duration analysis (if time permits)
- Hazard functions