Empirical consequences of definitions

Abstract

"When using national register data for quantitative analysis, researchers depend on the quality of the data provided by the institutions collecting the data. Data quality is strongly influenced by institutional settings during data collection, e.g. underlying measurement concepts. Using the example of the duration of unemployment in Germany, this paper discusses the effects of the definition and their implementation on data quality. Therefore, two different definitions of (registered) unemployment are discussed. Implementing them into register data derived from German Public Employment Service, the effects of classifications on statistical results are shown." (Author's abstract, IAB-Doku) ((en))

Cite article

Kruppe, T. (2009): Empirical consequences of definitions. The case of unemployment in German register data. In: Arbeitsmarktpolitik in der sozialen Marktwirtschaft : vom Arbeitsförderungsgesetz zum Sozialgesetzbuch II und III, Vol. 34, No. 3, p. 138-148.