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25 Jahre Nutzung vertraulicher Firmenpaneldaten der amtlichen Statistik für wirtschaftswissenschaftliche Forschung: Produkte, Projekte, Probleme, Perspektiven

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  • Joachim Wagner

    (Leuphana University Lueneburg, Germany)

Abstract

Der Beitrag gibt einen Überblick über die Nutzung von Längsschnittdaten für Betriebe und Unternehmen aus Erhebungen der amtlichen Statistik durch empirische Wirtschaftsforscher. Nach einem Rückblick auf die Entwicklung seit 1990 werden die unterschiedlichen Typen von Firmendaten vorgestellt und es werden exemplarisch Projekte beschrieben, die diese Daten nutzen. Anschließend werden die Probleme diskutiert, die bei der Arbeit mit diesen Daten in den Forschungsdatenzentren der Statistischen Ämter auftreten. Der Beitrag schließt mit Skizzen zu zwei Szenarien für eine zukünftige Entwicklung.

Suggested Citation

  • Joachim Wagner, 2015. "25 Jahre Nutzung vertraulicher Firmenpaneldaten der amtlichen Statistik für wirtschaftswissenschaftliche Forschung: Produkte, Projekte, Probleme, Perspektiven," Working Paper Series in Economics 346, University of Lüneburg, Institute of Economics.
    • Handle: RePEc:lue:wpaper:346
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    22. Klaus F. Zimmermann, 2014. "Gustav von Schmoller-Vorlesung 2014: Evidenzbasierte wissenschaftliche Politikberatung," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 134(3), pages 259-270.
    23. Hopenhayn, Hugo A, 1992. "Entry, Exit, and Firm Dynamics in Long Run Equilibrium," Econometrica, Econometric Society, vol. 60(5), pages 1127-1150, September.
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    25. Schmidt Christoph M., 2014. "Wirkungstreffer erzielen – Die Rolle der evidenzbasierten Politikberatung in einer aufgeklärten Gesellschaft," Perspektiven der Wirtschaftspolitik, De Gruyter, vol. 15(3), pages 219-233, October.
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    Cited by:

    1. Eberle, Johanna & Schmucker, Alexandra, 2017. "The establishment History Panel : Redesign and update 2016," FDZ Methodenreport 201703_en, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    2. Ralf Thomas Münnich, 2015. "Vorwort des Herausgebers," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 9(2), pages 79-81, November.
    3. Krenz, Astrid, 2019. "Firm heterogeneity, productivity, and the extensive margins of trade - differences between manufacturing firms in East and West Germany," University of Göttingen Working Papers in Economics 369, University of Goettingen, Department of Economics.
    4. repec:iab:iabfme:201703(en is not listed on IDEAS
    5. Ulrich Rendtel & Willi Seidel & Christine Müller & Florian Meinfelder & Joachim Wagner & Jürgen Chlumsky & Markus Zwick, 2022. "Statistik zwischen Data Science, Artificial Intelligence und Big Data: Beiträge aus dem Kolloquium „Make Statistics great again“ [Statistics between data science, artificial intelligence and big da," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 16(2), pages 97-147, June.
    6. Eberle Johanna & Schmucker Alexandra, 2017. "The Establishment History Panel – Redesign and Update 2016," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 237(6), pages 535-547, December.
    7. René Söllner & Sandra Jung, 2017. "The impact of foreign trade and ownership on enterprise exits: new insights through micro data linking," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 11(1), pages 8-32, April.
    8. Timo Schmid & Markus Zwick, 2017. "Vorwort der Herausgeber," AStA Wirtschafts- und Sozialstatistisches Archiv, Springer;Deutsche Statistische Gesellschaft - German Statistical Society, vol. 11(1), pages 1-4, April.

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    More about this item

    Keywords

    Firmenpaneldaten; Forschungsdatenzentren; empirische Analysen zur Firmendynamik;
    All these keywords.

    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
    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • F14 - International Economics - - Trade - - - Empirical Studies of Trade
    • L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General

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