|Where:||Join us from anywhere!|
|Cost:||Free—but registrations are limited|
Panel-data methods are commonly used for analyzing longitudinal data—data having repeated measurements on individuals, countries, companies, industries, and the like. Variation over time gives us more insight than a cross-section, which provides only a snapshot at one moment in time. With panel data, we can model the heterogeneity and evaluate changes over time.
Join us for an overview of methods for analyzing longitudinal and panel data using Stata. In this webinar, we will demonstrate how to fit linear and nonlinear panel-data models and how to perform dynamic panel-data estimation.
The webinar is free, but you must register to attend. Registrations are limited so register soon.
We will send you an email prior to the start with instructions on how to access the webinar.
Chris Cheng is a staff econometrician at StataCorp LLC. He has a master's degree in economics and a PhD in agricultural and managerial economics at Texas A&M University. He has worked with technical support since 2019. Chris frequently interacts with users about technical questions and gives webinars and training courses. His interests focus on demand analysis, panel data analysis, and other econometrics.