Panel Data Analysis Workshop

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The School of Graduate Studies organized a Panel Data Analysis Workshop that trained in the following areas.

  1. Basics. Descriptive statistics, Linear regression model
  2. Essential panel data results. Fixed and random effects Robust estimation, bootstrapping
  3. Endogeneity, dynamic panel data models.
  4. Nonlinear Models, discrete choice, sample selection Heterogeneity, Latent class, random parameters
  5. Applications: Health econometrics, Stochastic frontier