More and more, researchers are faced with analyzing panel data, data in which individuals, companies, countries, or other units are observed repeatedly across time. Panel data allow us to study both time-invariant heterogeneity (variation due to unobserved characteristics of the unit of observation) and changes in the units of observation across time (model dynamics). This workshop provides an introduction to the theory and practice of panel-data analysis and demonstrates how to perform panel-data analysis using Stata. We begin with an introduction to fixed-effects and random-effects approaches to modeling unobserved individual-level heterogeneity. We also discuss linear models with exogenous covariates, linear models with endogenous variables, dynamic linear models, and some nonlinear models.

The topics covered will be the following:

• A brief introduction to Stata
• Data tools and descriptive statistics for panel data
• Estimation of linear panel-data models
• Estimation of nonlinear panel-data model estimators
• Estimation of models with endogeneity
• Estimation of dynamic panel-data models

Presenter

• Enrique Pinzon, Principal Econometrician, StataCorp LLC