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Mismatch and the Forecasting Performance of Matching Functions

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  • Christian Hutter
  • Enzo Weber

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  • Christian Hutter & Enzo Weber, 2017. "Mismatch and the Forecasting Performance of Matching Functions," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 79(1), pages 101-123, February.
    • Handle: RePEc:bla:obuest:v:79:y:2017:i:1:p:101-123
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    File URL: http://hdl.handle.net/10.1111/obes.12142
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    References listed on IDEAS

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    1. Clark, Todd E. & McCracken, Michael W., 2015. "Nested forecast model comparisons: A new approach to testing equal accuracy," Journal of Econometrics, Elsevier, vol. 186(1), pages 160-177.
    2. Mortensen, Dale & Pissarides, Christopher, 2011. "Job Creation and Job Destruction in the Theory of Unemployment," Ekonomicheskaya Politika / Economic Policy, Russian Presidential Academy of National Economy and Public Administration, vol. 1, pages 1-19.
    3. Regis Barnichon & Andrew Figura, 2015. "Labor Market Heterogeneity and the Aggregate Matching Function," American Economic Journal: Macroeconomics, American Economic Association, vol. 7(4), pages 222-249, October.
    4. Clark, Todd E. & McCracken, Michael W., 2001. "Tests of equal forecast accuracy and encompassing for nested models," Journal of Econometrics, Elsevier, vol. 105(1), pages 85-110, November.
    5. Christopher A. Pissarides & Barbara Petrongolo, 2001. "Looking into the Black Box: A Survey of the Matching Function," Journal of Economic Literature, American Economic Association, vol. 39(2), pages 390-431, June.
    6. Bauer, Anja, 2013. "Mismatch unemployment : evidence from Germany 2000-2010," IAB-Discussion Paper 201310, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    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. Jackman, R & Roper, S, 1987. "Structural Unemployment," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 49(1), pages 9-36, February.
    9. Matthes, Britta & Burkert, Carola & Biersack, Wolfgang, 2008. "Berufssegmente: Eine empirisch fundierte Neuabgrenzung vergleichbarer beruflicher Einheiten," IAB-Discussion Paper 200835, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    10. Marcellino, Massimiliano & Stock, James H. & Watson, Mark W., 2006. "A comparison of direct and iterated multistep AR methods for forecasting macroeconomic time series," Journal of Econometrics, Elsevier, vol. 135(1-2), pages 499-526.
    11. Ay?egül ?ahin & Joseph Song & Giorgio Topa & Giovanni L. Violante, 2014. "Mismatch Unemployment," American Economic Review, American Economic Association, vol. 104(11), pages 3529-3564, November.
    12. Todd Clark & Michael McCracken, 2012. "Reality Checks and Comparisons of Nested Predictive Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(1), pages 53-66.
    13. Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
    14. 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.
    15. Yashiv, Eran, 2007. "Labor search and matching in macroeconomics," European Economic Review, Elsevier, vol. 51(8), pages 1859-1895, November.
    16. Clark, Todd E. & West, Kenneth D., 2007. "Approximately normal tests for equal predictive accuracy in nested models," Journal of Econometrics, Elsevier, vol. 138(1), pages 291-311, May.
    17. Klinger, Sabine & Weber, Enzo, 2020. "GDP-employment decoupling in Germany," Structural Change and Economic Dynamics, Elsevier, vol. 52(C), pages 82-98.
    18. Sedláček, Petr, 2014. "Match efficiency and firms' hiring standards," Journal of Monetary Economics, Elsevier, vol. 62(C), pages 123-133.
    19. Haroon Mumtaz & Francesco Zanetti, 2015. "Labor Market Dynamics: A Time-Varying Analysis," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(3), pages 319-338, June.
    20. Ebrahimy, Ehsan & Shimer, Robert, 2010. "Stock-flow matching," Journal of Economic Theory, Elsevier, vol. 145(4), pages 1325-1353, July.
    21. Lilien, David M, 1982. "Sectoral Shifts and Cyclical Unemployment," Journal of Political Economy, University of Chicago Press, vol. 90(4), pages 777-793, August.
    22. Maria E. Canon & Mingyu Chen & Elise Marifian, 2013. "Labor mismatch in the Great Recession: a review of indexes using recent U.S. data," Review, Federal Reserve Bank of St. Louis, vol. 95(May), pages 237-272.
    23. Per Kropp & Barbara Schwengler, 2016. "Three-Step Method for Delineating Functional Labour Market Regions," Regional Studies, Taylor & Francis Journals, vol. 50(3), pages 429-445, March.
    24. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    25. Kang, In-Bong, 2003. "Multi-period forecasting using different models for different horizons: an application to U.S. economic time series data," International Journal of Forecasting, Elsevier, vol. 19(3), pages 387-400.
    26. Coles, Melvyn G & Smith, Eric, 1998. "Marketplaces and Matching," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 39(1), pages 239-254, February.
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    Cited by:

    1. Christian Hutter, 2021. "Cyclicality of labour market search: a new big data approach," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 55(1), pages 1-16, December.
    2. Christian Hutter, 2021. "Cyclicality of labour market search: a new big data approach," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 55(1), pages 1-16, December.
    3. Christian Hutter & Francesco Carbonero & Sabine Klinger & Carsten Trenkler & Enzo Weber, 2022. "Which factors were behind Germany's labour market upswing? A data‐driven approach," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(5), pages 1052-1076, October.
    4. Jung, Philip & Korfmann, Philipp & Preugschat, Edgar, 2023. "Optimal regional labor market policies," European Economic Review, Elsevier, vol. 152(C).
    5. repec:iab:iabjlr:v:55:i::p:art.1 is not listed on IDEAS
    6. Hartl, Tobias & Hutter, Christian & Weber, Enzo, 2021. "Matching for three: big data evidence on search activity of workers, firms, and employment service," IAB-Discussion Paper 202101, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    7. Hutter, Christian & Weber, Enzo, 2017. "Labour market effects of wage inequality and skill-biased technical change in Germany," IAB-Discussion Paper 201705, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].

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