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How to specify Panel Data Analysis

Prof. Dr. Josef Brüderl

Date: 17.02 - 18.02.2020 ics-file

Location: Mannheim B2,8 links / Course language: English

About the lecturer - Prof. Dr. Josef Brüderl

Course description

Within-estimation with panel data (e.g. fixed-effects regression) has the advantage that it automatically controls for all time-constant unit-specific confounders. Therefore, within-estimation is meanwhile widely used in social research. However, available textbooks are largely silent on how to specify a within analysis and therefore it is no wonder that many published studies use problematic specifications that have the potential to spoil the advantages of within-estimation. In this workshop we will discuss several of these specification issues for within-estimation: How to model impact functions? How to model the age effect? Should one use a control group? How to use hybrid models? How to specify interaction effects? Should one use lagged outcome/treatment variables? How to get rid of the parallel trends assumption? How to deal with reverse causality?
The workshop is intended for participants who have a basic understanding of and previous experience in carrying out panel data analysis (the workshop will start with a short (!) introduction to fixed-effects regressions). Exemplary analyses will be carried out using the 'German Socio-Economic Panel (SOEP)'.


Target group

Researchers who want to analyze panel data.

Learning objectives

After the workshop you should know how to implement fixed-effects panel data regressions with Stata.


Participants should have a good understanding of (linear) regression methods.


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