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Comparing survey data with an official administrative population: assessing sample-selectivity in the IAB Establishment Panel

Author

Listed:
  • Mario Bossler

    (Institute for Employment Research (IAB))

  • Gregor Geis

    (University of Erlangen-Nuremberg)

  • Jens Stegmaier

    () (Institute for Employment Research (IAB)
    Halle Institute for Economic Research (IWH))

Abstract

The IAB Establishment Panel is a large annual establishment survey and serves as a data source for many empirical analyzes, e.g., on labor demand, wages and industrial relations but also for influential policy evaluations. We analyze the selectivity of the IAB Establishment Panel compared with the administrative population of all establishments in Germany to test whether the IAB Establishment Panel is biased towards “good employers”. By design the survey over-samples large, thus high paying and stable establishments. After flexibly controlling for elements of the sampling design, we do not detect any meaningful difference between establishments participating in the survey and the full population regarding key economic performance indicators. If anything, we observe a slight overrepresentation of stable and slow growing establishments. For applied research, the results highlight that “typical” econometric specifications may not be sufficient to control for selectivity.

Suggested Citation

  • Mario Bossler & Gregor Geis & Jens Stegmaier, 2018. "Comparing survey data with an official administrative population: assessing sample-selectivity in the IAB Establishment Panel," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(2), pages 899-920, March.
    • Handle: RePEc:spr:qualqt:v:52:y:2018:i:2:d:10.1007_s11135-017-0495-6
    DOI: 10.1007/s11135-017-0495-6
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Tobias Brändle & Laszlo Goerke, 2018. "The one constant: a causal effect of collective bargaining on employment growth? Evidence from German linked‐employer‐employee data," Scottish Journal of Political Economy, Scottish Economic Society, vol. 65(5), pages 445-478, November.
    2. Kölling, Arnd & Schnabel, Claus, 2019. "Owners, external managers, and industrial relations in German establishments," FAU Discussion Papers in Economics 10/2019, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    3. Lutz Bellmann & Mario Bossler & Hans-Dieter Gerner & Olaf Hübler, 2017. "Training and minimum wages: first evidence from the introduction of the minimum wage in Germany," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 6(1), pages 1-22, December.
    4. Bossler, Mario & Gürtzgen, Nicole & Lochner, Benjamin & Betzl, Ute & Feist, Lisa, 2018. "The German minimum wage: Effects on business expectations, profitability, and investments," FAU Discussion Papers in Economics 13/2018, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    5. Andreas Hauptmann, 2019. "Worker turnover in German exporting establishments," Economics Bulletin, AccessEcon, vol. 39(2), pages 1266-1271.
    6. Oberfichtner Michael & Schnabel Claus, 2019. "The German Model of Industrial Relations: (Where) Does It Still Exist?," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 239(1), pages 5-37, January.
    7. Manuela G. Hartwig & Leslie Tkach-Kawasaki, 2020. "Correction to: Identifying the ‘Fukushima Effect’ in Germany through policy actors’ responses: evidence from the G-GEPON 2 survey," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(1), pages 213-234, February.
    8. Manuela G. Hartwig & Leslie Tkach-Kawasaki, 2019. "Identifying the ‘Fukushima Effect’ in Germany through policy actors’ responses: evidence from the G-GEPON 2 survey," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(4), pages 2081-2101, July.
    9. Bossler, Mario & Gartner, Hermann & Kubis, Alexander & Küfner, Benjamin, 2020. "IAB-Stellenerhebung: Betriebsbefragung zu Stellenangebot und Besetzungsprozessen, Welle 2000 bis 2017 mit Folgequartalen von 2006 bis 2018," FDZ Datenreport. Documentation on Labour Market Data 202006_de, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    10. Brändle, Tobias & Goerke, Laszlo, 2018. "The One Constant: A Causal Effect of Collective Bargaining on Employment Growth?," IZA Discussion Papers 11518, Institute of Labor Economics (IZA).

    More about this item

    Keywords

    Selectivity; Panel survey; Establishments;

    JEL classification:

    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • J20 - Labor and Demographic Economics - - Demand and Supply of Labor - - - General

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