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The Quality of the KombiFiD-Sample of Enterprises from Manufacturing Industries: Evidence from a Replication Study

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  • Joachim Wagner

Abstract

This study tests whether the KombiFiD sample can be regarded as a high quality data set for empirical research on enterprises from manufacturing industries. It performs an empirical investigation using the original data in a first step and replicates exactly this investigation using the KombiFiD sample in a second step. For West Germany a comparison of the results based the original data and on the KombiFiD sample points to by and large highly similar results. Contrary to this the big picture is not in favour of the quality of the KombiFiD sample for East Germany where the KombiFiD sample is too small and differences between the results based on this sample and the original data are too large to suggest the use of the KombiFiD data in empirical investigations.

Suggested Citation

  • Joachim Wagner, 2012. "The Quality of the KombiFiD-Sample of Enterprises from Manufacturing Industries: Evidence from a Replication Study," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 132(3), pages 379-392.
  • Handle: RePEc:aeq:aeqsjb:v132_y2012_i3_q3_p379-392
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    File URL: http://dx.doi.org/10.3790/schm.132.3.379
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    References listed on IDEAS

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    1. Ulrich Kaiser & Joachim Wagner, 2008. "Neue Möglichkeiten zur Nutzung vertraulicher amtlicher Personen- und Firmendaten," Perspektiven der Wirtschaftspolitik, Verein für Socialpolitik, vol. 9(3), pages 329-349, August.
    2. Joachim Wagner, 2006. "Politikrelevante Folgerungen aus Analysen mit Firmendaten der Amtlichen Statistik," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 126(3), pages 359-374.
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    Cited by:

    1. Pfeifer, Christian & Wagner, Joachim, 2012. "Is innovative firm behavior correlated with age and gender composition of the workforce? Evidence from a new type of data for German enterprises," Working Paper Series in Economics and Institutions of Innovation 291, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
    2. Christian Pfeifer & Joachim Wagner, 2014. "Age and gender effects of workforce composition on productivity and profits: Evidence from a new type of data for German enterprises," Contemporary Economics, University of Finance and Management in Warsaw, vol. 8(1), March.
    3. Joachim Wagner, 2015. "Kombinierte Firmenpaneldaten – Datenangebot und Analysepotenziale," Working Paper Series in Economics 340, University of Lüneburg, Institute of Economics.

    More about this item

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access

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