Which Progress for Poverty Studies can we expect from new large Data Sources?

Jürgen Friedrichs

Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, 2008, vol. 128, issue 1, 65-73

Abstract: Large data sources would allow us to test the impact of neighborhood characteristics, such as poverty rates , on the attitudes and behavior ot residents. The article explores the feasibility of existing large date sets for such a purpose. Unfortunately, none of the three sets reviewed, the Microcensus, the ALLBUS and the SOUP, allows for such multi-level analyses, because data cannot be regionalized due to data protection or insufficient sample size. To overcome these problems in a limited sense, it is suggested to pursue a “puzzle strategy” to combine data from different existing data sets.

JEL-codes: C31 C33 C42 I32 (search for similar items in EconPapers)
Date: 2008
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