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The time trend in the matching function

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  • Poeschel, Friedrich

    (IAB)

Abstract

"We revisit the puzzling finding that labour market performance appears to deteriorate, as suggested by negative time trends in empirical matching functions. We investigate whether these trends simply arise from omitted variable bias. Concretely, we consider the omission of job seekers beyond the unemployed, the omission of inflows as opposed to stocks, and the failure to account for vacancy dynamics. We first build a model of all labour market flows and use it to construct series for these flows from aggregate data on the U.S. labour market. Using these series, we obtain a measure for employed and non-participating job seekers. When we thus include all job seekers, the estimated time trend remains unchanged. We similarly obtain measures for inflows into unemployment and vacancies. When these are included, the magnitude of the time trend is halved but remains significant. When we account for basic vacancy dynamics, the estimated time trend can be fully explained by omitted variable bias. As suggested by this result, we present evidence that empirical matching functions can be interpreted as versions of the law of motion for vacancies: the coefficients in matching functions coincide with the coefficients in the law of motion after correcting for omitted variable bias." (Author's abstract, IAB-Doku) ((en))

Suggested Citation

  • Poeschel, Friedrich, 2012. "The time trend in the matching function," IAB-Discussion Paper 201203, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
  • Handle: RePEc:iab:iabdpa:201203
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    References listed on IDEAS

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    Cited by:

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    2. Münich, Daniel & Srholec, Martin & Moritz, Michael & Schäffler, Johannes, 2012. "Mothers and Daughters: Heterogeneity of German direct investments in the Czech Republic. Evidence from the IAB-ReLOC survey," IAB-Discussion Paper 201217, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    3. Wolfgang Dauth & Sebastian Findeisen & Jens Suedekum, 2014. "The Rise Of The East And The Far East: German Labor Markets And Trade Integration," Journal of the European Economic Association, European Economic Association, vol. 12(6), pages 1643-1675, December.
    4. Kohlbrecher, Britta & Merkl, Christian & Nordmeier, Daniela, 2016. "Revisiting the matching function," Journal of Economic Dynamics and Control, Elsevier, vol. 69(C), pages 350-374.
    5. Engelmann, Sabine, 2012. "International trade, technical change and wage inequality in the U.K. economy," IAB-Discussion Paper 201208, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    6. Mendolicchio Concetta & Paolini Dimitri & Pietra Tito, 2012. "Asymmetric Information And Overeducation," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 12(1), pages 1-29, October.
    7. Poeschel, Friedrich, 2012. "Assortative matching through signals," VfS Annual Conference 2012 (Goettingen): New Approaches and Challenges for the Labor Market of the 21st Century 62061, Verein für Socialpolitik / German Economic Association.
    8. Deeke, Axel & Baas, Meike, 2012. "Berufliche Statusmobilität von Arbeitslosen nach beruflicher Weiterbildung : ein empirischer Beitrag zur Evaluation der Förderung beruflicher Weiterbildung," IAB-Discussion Paper 201211, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    9. Drasch, Katrin, 2012. "Between familial imprinting and institutional regulation: Family related employment interruptions of women in Germany before and after the German reunification," IAB-Discussion Paper 201209, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].

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    More about this item

    Keywords

    Bundesrepublik Deutschland ; Bundesrepublik Deutschland ; USA ; matching ; Nichterwerbstätige ; offene Stellen ; Arbeitslose ; Arbeitsmarktindikatoren ; Zeitreihenanalyse ; Arbeitsuchende ; 2000-2011;
    All these keywords.

    JEL classification:

    • J63 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Turnover; Vacancies; Layoffs
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search

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