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Map Intersection Based Merging Schemes for Administrative Data Sources and an Application to Germany

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  • Arntz, Melanie
  • Wilke, Ralf A.

Abstract

In many situations the applied researcher wants to combine different data sources without knowing the exact link and merging rule. This paper introduces a theoretical framework how two different regional administrative data sources can be merged. It presents different merging schemes based on the area size of intersections between both regional entities. Estimates of intersection areas are derived from a digital map intersection. The theoretical framework derives conditions for the unbiasedness of estimated intersections and merging rules. The paper also presents conditions under which the choice of merging rule does not matter and illustrates the theoretical results with a simulation study. An application to German counties and federal employment office districts illustrates the applicability of the approach. It delivers merging schemes for regional data sources of the federal German statistical office and of the federal German employment office.

Suggested Citation

  • Arntz, Melanie & Wilke, Ralf A., 2005. "Map Intersection Based Merging Schemes for Administrative Data Sources and an Application to Germany," ZEW Discussion Papers 05-20, ZEW - Leibniz Centre for European Economic Research.
    • Handle: RePEc:zbw:zewdip:3177
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    References listed on IDEAS

    as
    1. Ridder, Geert & Tunali, Insan, 1999. "Stratified partial likelihood estimation," Journal of Econometrics, Elsevier, vol. 92(2), pages 193-232, October.
    2. Bernd Fitzenberger & Ralf A. Wilke, 2010. "Unemployment Durations in West Germany Before and After the Reform of the Unemployment Compensation System during the 1980s," German Economic Review, Verein für Socialpolitik, vol. 11(3), pages 336-366, August.
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    Cited by:

    1. Arntz, Melanie, 2005. "The Geographical Mobility of Unemployed Workers: Evidence from West Germany," ZEW Discussion Papers 05-34, ZEW - Leibniz Centre for European Economic Research.

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    More about this item

    Keywords

    map intersection; administrative data; merging schemes; estimation;
    All these keywords.

    JEL classification:

    • C89 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other
    • C49 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Other
    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General

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