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New insights on unemployment duration and post unemployment earnings in Germany: censored Box-Cox quantile regression at work

Author

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  • Fitzenberger, Bernd
  • Wilke, Ralf A.

Abstract

In light of nonstationary search theory (van den Berg, 1990), this paper estimates the effects of benefit entitlement periods and the size of unemployment benefits on unemployment durations and post{unemployment earnings in West Germany. For the unemployment duration, we estimate censored Box{Cox quantile regression, which is robust with respect to the specification of the unobserved error distribution and avoids the common proportional hazard assumption. Our results suggest that the length of benefit entitlement is only of minor importance for the duration of search unemployment and for post unemployment wages. A high wage replacement rate in the low wage sector seem to considerably elongate the duration of unemployment and it is associated with higher post unemployment wages.

Suggested Citation

  • Fitzenberger, Bernd & Wilke, Ralf A., 2007. "New insights on unemployment duration and post unemployment earnings in Germany: censored Box-Cox quantile regression at work," ZEW Discussion Papers 07-007, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  • Handle: RePEc:zbw:zewdip:5494
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    References listed on IDEAS

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    1. Meyer, Bruce D, 1990. "Unemployment Insurance and Unemployment Spells," Econometrica, Econometric Society, vol. 58(4), pages 757-782, July.
    2. Konstantinos Tatsiramos, 2009. "Unemployment Insurance in Europe: Unemployment Duration and Subsequent Employment Stability," Journal of the European Economic Association, MIT Press, vol. 7(6), pages 1225-1260, December.
    3. Machado, José & Portugal, Pedro & Guimarães, Juliana, 2006. "U.S. Unemployment Duration: Has Long Become Longer or Short Become Shorter?," IZA Discussion Papers 2174, Institute for the Study of Labor (IZA).
    4. Elke Lüdemann & Ralf Wilke & Xuan Zhang, 2006. "Censored quantile regressions and the length of unemployment periods in West Germany," Empirical Economics, Springer, vol. 31(4), pages 1003-1024, November.
    5. Wilke, Ralf A. & Fitzenberger, Bernd & Zhang, Xuan, 2004. "A Note on Implementing Box-Cox Quantile Regression," ZEW Discussion Papers 04-61, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
    6. Hunt, Jennifer, 1995. "The Effect of Unemployment Compensation on Unemployment Duration in Germany," Journal of Labor Economics, University of Chicago Press, vol. 13(1), pages 88-120, January.
    7. Lee, Sokbae & Wilke, Ralf A., 2009. "Reform of Unemployment Compensation in Germany: A Nonparametric Bounds Analysis Using Register Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 27(2), pages 193-205.
    8. Portnoy S., 2003. "Censored Regression Quantiles," Journal of the American Statistical Association, American Statistical Association, vol. 98, pages 1001-1012, January.
    9. Wilke, Ralf A. & Wichert, Laura, 2005. "Application of a simple nonparametric conditional quantile function estimator in unemployment duration analysis," ZEW Discussion Papers 05-67 [rev.], ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
    10. Jose A. F. Machado & Jose Mata, 2000. "Box-Cox quantile regression and the distribution of firm sizes," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(3), pages 253-274.
    11. Moffitt, Robert, 1985. "Unemployment insurance and the distribution of unemployment spells," Journal of Econometrics, Elsevier, vol. 28(1), pages 85-101, April.
    12. José A. F. Machado & Pedro Portugal, 2002. "Quantile Regression Methods: na Application to U.S. Unemployment Duration," Working Papers w200201, Banco de Portugal, Economics and Research Department.
    13. Bruce Meyer, 2002. "Unemployment and workers' compensation programmes: rationale, design, labour supply and income support ," Fiscal Studies, Institute for Fiscal Studies, vol. 23(1), pages 1-49, March.
    14. Steiner, Viktor, 1997. "Extended benefit entitlement periods and the duration of unemployment in West Germany," ZEW Discussion Papers 97-14, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
    15. José Mata & José A. F. Machado, 2005. "Counterfactual decomposition of changes in wage distributions using quantile regression," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(4), pages 445-465.
    16. Narendranathan, W & Nickell, S & Stern, J, 1985. "Unemployment Benefits Revisited," Economic Journal, Royal Economic Society, vol. 95(378), pages 307-329, June.
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    Cited by:

    1. Mário Centeno & Álvaro A. Novo, 2007. "The Regressivity of Unemployment Insurance: Identification of the Income Effect Through the July 1999 Legislation," Economic Bulletin and Financial Stability Report Articles, Banco de Portugal, Economics and Research Department.
    2. Arntz, Melanie & Lo, Simon M. S. & Wilke, Ralf A., 2007. "Bounds analysis of competing risks : a nonparametric evaluation of the effect of unemployment benefits on migration in Germany," FDZ Methodenreport 200704_en, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    3. Aysit Tansel & H. Mehmet Taşçı, 2010. "Hazard Analysis of Unemployment Duration by Gender in a Developing Country: The Case of Turkey," LABOUR, CEIS, vol. 24(4), pages 501-530, December.
    4. Haan, Peter & Prowse, Victoria L., 2010. "The Design of Unemployment Transfers: Evidence from a Dynamic Structural Life-Cycle Model," IZA Discussion Papers 4792, Institute for the Study of Labor (IZA).
    5. Melanie Arntz & Ralf Wilke, 2009. "Unemployment Duration in Germany: Individual and Regional Determinants of Local Job Finding, Migration and Subsidized Employment," Regional Studies, Taylor & Francis Journals, vol. 43(1), pages 43-61.
    6. Andrey Launov & Klaus Wälde, 2013. "Estimating Incentive And Welfare Effects Of Nonstationary Unemployment Benefits," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 54, pages 1159-1198, November.
    7. Luis Beccaria & Roxana Maurizio & Martin Trombetta & Gustavo Vázquez, 2016. "Una evaluación del efecto scarring en Argentina," REVISTA DESARROLLO Y SOCIEDAD, UNIVERSIDAD DE LOS ANDES-CEDE, vol. 77, August.
    8. Wilke, Ralf A. & Wichert, Laura, 2005. "Application of a simple nonparametric conditional quantile function estimator in unemployment duration analysis," ZEW Discussion Papers 05-67 [rev.], ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
    9. Laura Wichert & Ralf A. Wilke, 2008. "Simple non-parametric estimators for unemployment duration analysis," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 57(1), pages 117-126.
    10. Arntz, Melanie & Lo, Simon M. S. & Wilke, Ralf A., 2008. "Bounds analysis of competing risks : a nonparametric evaluation of the effect of unemployment benefits on migration in Germany (Revised version of the FDZ Methodenbericht No. 04/2007)," FDZ Methodenreport 200806_en, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].

    More about this item

    Keywords

    Box Cox quantile regression; hazard rate; unemployment; wage;

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search

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