Synthetic Longitudinal Business Databases for International Comparisons

  • Jörg Drechsler
  • Lars Vilhuber
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8744)

Abstract

International comparison studies on economic activity are often hampered by the fact that access to business microdata is very limited on an international level. A recently launched project tries to overcome these limitations by improving access to Business Censuses from multiple countries based on synthetic data. Starting from the synthetic version of the longitudinally edited version of the U.S. Business Register (the Longitudinal Business Database, LBD), the idea is to create similar data products in other countries by applying the synthesis methodology developed for the LBD to generate synthetic replicates that could be distributed without confidentiality concerns. In this paper we present some first results of this project based on German business data collected at the Institute for Employment Research.

Keywords

business data confidentiality international comparison multiple imputation synthetic 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Jörg Drechsler
    • 1
  • Lars Vilhuber
    • 2
  1. 1.Institute for Employment ResearchNurembergGermany
  2. 2.Cornell UniversityIthacaUSA

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