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SOEP-LEE2: Linking Surveys on Employees to Employers in Germany

Author

Listed:
  • Matiaske Wenzel

    (Institute for Employment Relations and Labour, Helmut Schmidt University, Hamburg, Germany)

  • Schmidt Torben Dall

    (Institute for Employment Relations and Labour, Helmut Schmidt University, Hamburg, Germany)

  • Halbmeier Christoph

    (Institute for Employment Relations and Labour, Helmut Schmidt University, Hamburg, Germany)

  • Maas Martina

    (Institute for Employment Relations and Labour, Helmut Schmidt University, Hamburg, Germany)

  • Holtmann Doris

    (Institute for Employment Relations and Labour, Helmut Schmidt University, Hamburg, Germany)

  • Schröder Carsten

    (German Institute for Economic Research (DIW), Berlin, Germany)

  • Böhm Tamara

    (German Institute for Economic Research (DIW), Berlin, Germany)

  • Liebig Stefan

    (Freie Universität, Berlin, Germany)

  • Kritikos Alexander S.

    (German Institute for Economic Research (DIW), Berlin, Germany)

Abstract

This article presents the new linked employee-employer study of the Socio-Economic Panel (SOEP-LEE2), which offers new research opportunities for various academic fields. In particular, the study contains two waves of an employer survey for persons in dependent work that is also linkable to the SOEP, a large representative German annual household panel (SOEP-LEE2-Core). Moreover, SOEP-LEE2 includes two waves of self-employed surveys based on self-employed in the SOEP-Core (SOEP-LEE2-Self-employed) and three additional representative employer surveys, independent of the SOEP in terms of sampling employers (SOEP-LEE2-Compare). Survey topics include digitalisation and cybersecurity, human capital formation, COVID-19, and human resource management. Here, we describe the content, survey design, and comparability of the different datasets in the SOEP-LEE2 to potential users in different disciplines of research.

Suggested Citation

  • Matiaske Wenzel & Schmidt Torben Dall & Halbmeier Christoph & Maas Martina & Holtmann Doris & Schröder Carsten & Böhm Tamara & Liebig Stefan & Kritikos Alexander S., 2024. "SOEP-LEE2: Linking Surveys on Employees to Employers in Germany," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 244(5-6), pages 671-684.
    • Handle: RePEc:jns:jbstat:v:244:y:2024:i:5-6:p:671-684:n:1001
    DOI: 10.1515/jbnst-2023-0031
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    References listed on IDEAS

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    6. Weinhardt Michael & Meyermann Alexia & Liebig Stefan & Schupp Jürgen, 2017. "The Linked Employer–Employee Study of the Socio-Economic Panel (SOEP-LEE): Content, Design and Research Potential," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 237(5), pages 457-467, October.
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    More about this item

    Keywords

    employment relations; human resource management; linked employee-employer data; SOEP; SOEP-LEE2; survey design;
    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
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory
    • J01 - Labor and Demographic Economics - - General - - - Labor Economics: General
    • M12 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Personnel Management; Executives; Executive Compensation
    • M50 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - General

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