This comprehensive webinar is hosted through Zoom and runs over a total of 9 hours, with 4 hours each day (2 in the morning and 2 in the afternoon) with an extra Q&A session on the second day.
Panel data econometrics has developed rapidly over the last decades.
Longitudinal data – both with a large number of units tracked for a short period and with a relative small number of units for a long time - are more and more available to researchers and methods to analyse these data are in high demand from scholars from different fields.
The course follows the Panel data Analysis with Stata and aims at provide participants with a theoretical and practical understanding of advanced panel methods, i.e. non-linear panel models.
Each session briefly introduces the different methodologies, discussing strengths and weaknesses with a focus on the interpretation of the results. Hands-on sessions with many practical examples and exercises to discuss the different methodologies on panel data analysis.
By the end of the two-day on line course participants should be able to identify the best non-linear advanced panel model for their research and to estimate it and interpret the results in Stata.
| Morning Session | Afternoon Session | Q&A with Instructor |
|---|---|---|
| 10am-12pm | 2pm-4pm | 4pm-4:30pm |
Two days of online instruction for four hours per day.
Two hours each morning, followed by two hours each afternoon.
Hour-long Q&A session at the end of each day to address queries.
Session 1: Introduction to non-linear panel models: extra challenges for estimation. The binary panels 1: Probit static and dynamic panels: definition, estimation in Stata, diagnostic tests and interpretation of the Stata output.
Session 2: the binary panels 2: Logit static and dynamic panels: definition, estimation in Stata, diagnostic tests and interpretation of the Stata output. The incidental parameter problems
Session 1: Tobit and selection models: definition, estimation in Stata, diagnostic tests and interpretation of the Stata output. The count model: definition.
Session 2: The count models: estimation in Stata, diagnostic tests, interpretation. Panel quantile regression models in STATA: definition, estimation, diagnostic tests and interpretation. .
Q&A session: Any question you have on the material but also on specific application to your research field.
The number of delegates is restricted. Please register early to guarantee your place.