GESIS Training Courses

Wiss. Koordination

Angelika Scheuer

Administrative Koordination

Claudia O'Donovan-Bellante
Tel: +49 621 1246-221

4th SERISS training course - Cross-national comparative research: Longitudinal analysis of panel data

Dr. Gundi Knies, Dr. Magda Borkowska

Veranstaltungsort: Extern: Ljubljana

Referenteninformationen - Dr. Gundi Knies

Referenteninformationen - Dr. Magda Borkowska


This course will introduce participants to some of the many topics, data and analysis tools available for cross-national comparative research on the basis of panel data. Participants will gain hands-on experience working with some of the world's most powerful panel data: the UK Household Longitudinal Study (UKHLS), the German Socio-economic Panel Study (SOEP) and a crossnationally harmonised data set of panel studies from around the world (CNEF). They will learn about the many steps involved in undertaking this type of analysis, covering the conceptual bases as well as the basic data management and modelling techniques.


This course is aimed at new users of panel data, as well as those who have so far only made use of simpler aspects of the data such as single-country analyses. It aims to guide the analyst through the complexities of using this data for cross-national and longitudinal analysis, and ensure that they can make effective use of the data for their own research projects.


  • Longitudinal studies for cross-national comparative research
  • Basic models for longitudinal analysis: Transition models, Fixed effects and random effects models (for continuous outcomes).
  • Topics in cross-national comparative research and what panel data add
  • Different approaches to undertaking cross-country analyses
  • The design and content of some of the world's most widely used panel data sets
  • how to access the data
  • how to prepare the data files for analysis using Stata
  • how to use weights for producing population estimates
  • how (not) to choose between different panel estimators
  • Additional resources to support their own research projects


Participants are expected to have a basic working knowledge of Stata. Basic Stata commands with which participants should be familiar:
  • starting Stata, Stata windows
  • getting help: help, search
  • working with do and log-files
  • editing do-files
  • comments, line breaks
  • working directory, working memory: dir, cd
  • opening and saving data files: use, save, compress
  • inspecting data: describe, list, inspect, summarize, count, tabulate subsetting data: in, if
  • generating and renaming variables: generate, replace, rename labelling variables: label define, label variable, label value
Participants not familiar with these Stata commands are strongly encouraged to use the resources recommended below to familiarise themselves with these commands before the course. Otherwise, participants may end up spending more time learning Stata than the complexities of using panel data for cross-national comparative analysis.


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