The School of Graduate Studies organized a Panel Data Analysis Workshop that trained in the following areas.
- Basics. Descriptive statistics, Linear regression model
- Essential panel data results. Fixed and random effects Robust estimation, bootstrapping
- Endogeneity, dynamic panel data models.
- Nonlinear Models, discrete choice, sample selection Heterogeneity, Latent class, random parameters
- Applications: Health econometrics, Stochastic frontier