Panel data econometrics has developed rapidly over the last decades.
Longitudinal data are more and more available to researchers and methods to analyse these data are in high demand from scholars from different fields.
The course offers a comprehensive overview on panel data methods with Stata, covering static and dynamic linear models.
Each session briefly introduces the different methodologies, discussing strengths and weaknesses with a focus on the interpretation of the results.
By the end of the two-day on-line course, participants should be able to prepare panel data for the analysis with Stata, choose the relevant model, get the parameter estimates and interpret the results.
| Morning Session | Afternoon Session | Q&A with Instructor |
|---|---|---|
| 10am-12pm | 2pm-4pm | 4pm-4:30pm |
Panel versus Cross-sectional data. Introduction to the concept of exogeneity. A first simple static panel model: the first difference model.
More advanced static panel models: fixed effects models and Random effects models. Testing the relevance of random effects models in a robust way. Testing for heteroscedasticity and serial correlation in a panel context.
Introduction to dynamic panel data models and to the concept of Instrumental Variables.
Estimation of dynamic panel models model: the Arellano–Bond estimator, the Arellano Blundell–Bond estimator.
Basic knowledge of linear regression and time series of econometrics is assumed. An introductory level of Stata helps but is not necessary.
The number of delegates is restricted. Please register early to guarantee your place.