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Worker flows in Germany: Inspecting the time aggregation bias

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  • Nordmeier, Daniela

Abstract

Employing daily information from German administrative data, this paper analyzes the effects of time aggregation in the measurement of worker flows. Time aggregation that is based on a comparison of monthly labor market states leads to an underestimation of total worker flows by approximately 10%, which is larger than the prediction of a standard correction approach. Multiple labor market transitions within a month induce a procyclical bias in the job-finding rate but not in the separation rate. Rather, during upswings, workers are more likely to change jobs with short intervening transition periods. Relative to previous findings, this reconsideration of German worker flows reveals that the job-finding rate plays a larger role in explaining unemployment fluctuations, although the additional dynamics of the time aggregation bias are shown to be less significant.

Suggested Citation

  • Nordmeier, Daniela, 2014. "Worker flows in Germany: Inspecting the time aggregation bias," Labour Economics, Elsevier, vol. 28(C), pages 70-83.
  • Handle: RePEc:eee:labeco:v:28:y:2014:i:c:p:70-83
    DOI: 10.1016/j.labeco.2014.03.010
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    Cited by:

    1. repec:taf:apeclt:v:24:y:2017:i:9:p:643-647 is not listed on IDEAS
    2. Kohlbrecher, Britta & Merkl, Christian & Nordmeier, Daniela, 2016. "Revisiting the matching function," Journal of Economic Dynamics and Control, Elsevier, vol. 69(C), pages 350-374.
    3. Joan Daouli & Michael Demoussis & Nicholas Giannakopoulos & Nikolitsa Lampropoulou, 2015. "The Ins and Outs of Unemployment in the Current Greek Economic Crisis," South-Eastern Europe Journal of Economics, Association of Economic Universities of South and Eastern Europe and the Black Sea Region, vol. 13(2), pages 177-196.
    4. Rothe, Thomas & Wälde, Klaus, 2017. "Where did all the unemployed go? : Non-standard work in Germany after the Hartz reforms," IAB Discussion Paper 201718, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    5. Sabine Klinger & Enzo Weber, 2016. "Decomposing Beveridge Curve Dynamics By Correlated Unobserved Components," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(6), pages 877-894, December.
    6. Daouli, Joan & Demoussis, Michael & Giannakopoulos, Nicholas & Lambropoulou, Nikolitsa, 2015. "The ins and outs of Greek unemployment in the Great Depression," MPRA Paper 66299, University Library of Munich, Germany.
    7. repec:zbw:rwipro:180217 is not listed on IDEAS
    8. Nordmeier, Daniela & Schmerer, Hans-Jörg & Weber, Enzo, 2016. "Trade and labor market dynamics: What do we learn from the data?," Economics Letters, Elsevier, vol. 145(C), pages 206-209.
    9. Haller, Peter & Heuermann, Daniel F., 2016. "Job search and hiring in local labor markets: Spillovers in regional matching functions," Regional Science and Urban Economics, Elsevier, vol. 60(C), pages 125-138.

    More about this item

    Keywords

    Time aggregation; Worker flows; Job-finding rate; Separation rate; Unemployment decomposition;

    JEL classification:

    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
    • J63 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Turnover; Vacancies; Layoffs
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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