Oliver Lipps is head of the methodological research programme at FORS and lecturer in survey methodology and survey research at the University of Basel.
Ursina Kuhn is a member of the Swiss Household Panel team. She is involved in data management and has published on political behaviour and income using panel data.
This course introduces the structure, data management, and analysis of panel data in general and the SHP in particular. Participants will learn to understand the structure of (household) panel data, to prepare the data for panel analyses, and to apply descriptive statistics and analytical models. After a detailed presentation of the SHP, we will learn how to organise data for different types of research questions which are specific to that type of data. This includes for example creating longitudinal data files, partner or parent-children data files, and spells and transitions. Analysis techniques include cross-tabulations (to analyse transitions), regressions (pooled, fixed effects, random effect). In the afternoon sessions, participants will work on practical exercises either with the SHP data or with panel data of their own choice. There will be time to solve individual problems.
(Kind of material covered during class)
Experience in statistical analysis of cross-sectional (survey) data is required. This includes experience with statistical software (such as R, SPSS, Stata, SAS) and a basic knowledge of cross tabulations and regressions. In the course, Stata will be used. Experience with Stata is useful but not required.