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Internationale Dateninnovationen: Potenziale für die deutsche Arbeitsmarkt- und Sozialpolitik

Author

Listed:
  • Bachmann Ronald

    (RWI-Leibniz-Institut für Wirtschaftsforschung Essen Deutschland)

  • Boockmann Bernhard

    (Universität Tübingen IAW – Institut für Angewandte Wirtschaftsforschung Tübingen Deutschland)

  • Vonnahme Christina

    (RWI – Leibniz-Institut für Wirtschaftsforschung RWI – Leibniz-Institut für Wirtschaftsforschung Essen Deutschland)

  • Wiemann Jan Simon

    (Universität Tübingen IAW – Institut für Angewandte Wirtschaftsforschung Tübingen Deutschland)

Abstract

The development and use of new data sources and the linking of data open up new opportunities for economic research, particularly in conjunction with new empirical methods. The insights gained are an indispensable basis for valid, evidence-based policy advice, and they generate further direct benefits for public administration and citizens. This article uses best-case examples from other countries to show the potential of such innovations. The article also discusses the benefits generated by data innovations and the factors that would enable similar projects in Germany. In particular, the Research Data Act currently under discussion will provide a decisive foundation in this context.

Suggested Citation

  • Bachmann Ronald & Boockmann Bernhard & Vonnahme Christina & Wiemann Jan Simon, 2024. "Internationale Dateninnovationen: Potenziale für die deutsche Arbeitsmarkt- und Sozialpolitik," Zeitschrift für Wirtschaftspolitik, De Gruyter, vol. 73(1), pages 1-23, May.
    • Handle: RePEc:lus:zwipol:v:73:y:2024:i:1:p:1-23:n:1
    DOI: 10.1515/zfwp-2024-2001
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    More about this item

    Keywords

    Forschungsdaten; evidenzbasierte Politikberatung; Datenverknüpfung;
    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
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis

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