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Dynamics of worker flows and vacancies: evidence from the sign restriction approach

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  • Shigeru Fujita

Abstract

This paper establishes robust dynamic features of the worker reallocation process in the US labor market. I use structural VARs with sign restrictions, which take the form of restricting the short-run negative relationship between vacancies and unemployment (i.e., Beveridge curve). Despite the ‘weakness’ of these restrictions, they reveal a clear, unambiguous pattern that, when unemployment increases and vacancies drop, (i) both the separation rate and gross separations rise quickly and remain persistently high, (ii) the job finding rate and vacancies drop in a hump‐shaped manner, and (iii) gross hires respond little initially, but eventually rise. These results point to the importance of job loss in understanding US labor market dynamics. This pattern also holds with respect to different kinds of shocks that induce the same Beveridge curve relationship. This paper also considers the ‘disaggregate model’, which uses data disaggregated into six demographic groups and incorporates transitions into and out of the labor force. I show that the separation rate continues to play a dominant role among prime‐age male workers, while, for other groups, changes in the job finding rate are more important. Copyright (C) 2009 John Wiley & Sons, Ltd.

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  • Shigeru Fujita, 2011. "Dynamics of worker flows and vacancies: evidence from the sign restriction approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 26(1), pages 89-121, January/F.
  • Handle: RePEc:wly:japmet:v:26:y:2011:i:1:p:89-121
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    File URL: http://hdl.handle.net/10.1002/jae.1111
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    Cited by:

    1. Inoue, Atsushi & Kilian, Lutz, 2013. "Inference on impulse response functions in structural VAR models," Journal of Econometrics, Elsevier, vol. 177(1), pages 1-13.
    2. repec:eee:ecmode:v:68:y:2018:i:c:p:273-292 is not listed on IDEAS
    3. repec:eee:eecrev:v:103:y:2018:i:c:p:150-172 is not listed on IDEAS
    4. Shigeru Fujita & Garey Ramey, 2012. "Exogenous vs. endogenous separation," Working Papers 12-2, Federal Reserve Bank of Philadelphia.
    5. Ronald Bachmann & Peggy Bechara & Anica Kramer & Sylvi Rzepka, 2015. "Labour market dynamics and worker heterogeneity during the Great Recession – Evidence from Europe," IZA Journal of European Labor Studies, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 4(1), pages 1-29, December.
    6. Shigeru Fujita & Makoto Nakajima, 2016. "Worker Flows and Job Flows: A Quantitative Investigation," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 22, pages 1-20, October.
    7. Regis Barnichon & Christopher J. Nekarda, 2012. "The Ins and Outs of Forecasting Unemployment: Using Labor Force Flows to Forecast the Labor Market," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 43(2 (Fall)), pages 83-131.
    8. Hairault, Jean-Olivier & Zhutova, Anastasia, 2018. "The cyclicality of labor-market flows: A multiple-shock approach," European Economic Review, Elsevier, vol. 103(C), pages 150-172.
    9. Ahn, Hie Joo, 2016. "Heterogeneity in the Dynamics of Disaggregate Unemployment," Finance and Economics Discussion Series 2016-063, Board of Governors of the Federal Reserve System (U.S.).
    10. Nordmeier, Daniela & Weber, Enzo, 2013. "Conditional Patterns of Unemployment Dynamics in Germany," Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79958, Verein für Socialpolitik / German Economic Association.
    11. Renée Fry & Adrian Pagan, 2011. "Sign Restrictions in Structural Vector Autoregressions: A Critical Review," Journal of Economic Literature, American Economic Association, vol. 49(4), pages 938-960, December.
    12. Hie Ahn & James Hamilton, 2016. "Heterogeneity and Unemployment Dynamics," Working Papers id:11130, eSocialSciences.
    13. Campolieti, Michele & Gefang, Deborah & Koop, Gary, 2014. "A new look at variation in employment growth in Canada: The role of industry, provincial, national and external factors," Journal of Economic Dynamics and Control, Elsevier, vol. 41(C), pages 257-275.
    14. Michele Campolieti & Deborah Gefang & Gary Koop, 2011. "Time Variation in the Dynamics of Worker Flows: Evidence from the US and Canada," Working Papers 1138, University of Strathclyde Business School, Department of Economics.
    15. 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.
    16. Michele Campolieti & Deborah Gefang & Gary Koop, 2013. "A new look at variation in employment growth in Canada," Working Papers 26145565, Lancaster University Management School, Economics Department.
    17. Nordmeier, Daniela & Weber, Enzo, 2013. "Patterns of unemployment dynamics in Germany," IAB Discussion Paper 201302, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    18. Regis Barnichon, 2009. "Demand-driven job separation: reconciling search models with the ins and outs of unemployment," Finance and Economics Discussion Series 2009-24, Board of Governors of the Federal Reserve System (U.S.).
    19. Lutz Kilian, 2013. "Structural vector autoregressions," Chapters,in: Handbook of Research Methods and Applications in Empirical Macroeconomics, chapter 22, pages 515-554 Edward Elgar Publishing.
    20. repec:eee:econom:v:203:y:2018:i:2:p:316-327 is not listed on IDEAS
    21. Raffaella Giacomini & Toru Kitagawa & Alessio Volpicella, 2017. "Uncertain identification," CeMMAP working papers CWP18/17, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

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