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Censored Quantile Regressions and the Length of Unemployment Periods in West Germany

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  • Xuan, Zhang
  • Wilke, Ralf A.
  • Lüdemann, Elke

Abstract

In this paper, we estimate the effect of different macro and micro variables on thedistribution of unemployment duration in West Germany using censored quantile regressions. We analyze unemployment periods of more than 91,000 observations from the years 1981 to 1997 drawn from the IAB employment subsample. The latter is an administrative data set that is representative with respect to the socially insured workforce. Surprisingly, we find that the educational degree and variables indicating the macroeconomic environment such as the unemployment rate have a weak effect only. On the other hand, variables reflecting the (un-)employment history of an individual such as the length of tenure, recall to the same employer in the past, recent unemployment and the position in the population income distribution before unemployment have the strongest effects on unemployment duration. We conclude that work history variables are the ones most suitable in characterizing the unemployment duration of an individual. From a methodological point of view, it is interesting that some regression coefficients have a different sign depending on the quantiles of the unemployment duration distribution. This clearly is a violation of the classical proportional hazard assumption which is very common in unemployment duration analysis. --

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Bibliographic Info

Paper provided by ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research in its series ZEW Discussion Papers with number 04-57 [rev.].

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Date of creation: 2005
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Handle: RePEc:zbw:zewdip:7180

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Keywords: censored quantile regression; unemployment duration; administrative data;

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  1. repec:cup:etheor:v:11:y:1995:i:1:p:105-21 is not listed on IDEAS
  2. Wilke, Ralf A., 2004. "New Estimates of the Duration and Risk of Unemployment for West-Germany," ZEW Discussion Papers 04-26, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  3. Van den Berg, Gerard J., 2000. "Duration Models: Specification, Identification, and Multiple Durations," MPRA Paper 9446, University Library of Munich, Germany.
  4. Hahn, Jinyong, 1995. "Bootstrapping Quantile Regression Estimators," Econometric Theory, Cambridge University Press, vol. 11(01), pages 105-121, February.
  5. 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.
  6. Portnoy S., 2003. "Censored Regression Quantiles," Journal of the American Statistical Association, American Statistical Association, vol. 98, pages 1001-1012, January.
  7. Yannis Bilias & Roger Koenker, 2001. "Quantile regression for duration data: A reappraisal of the Pennsylvania Reemployment Bonus Experiments," Empirical Economics, Springer, vol. 26(1), pages 199-220.
  8. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
  9. Weber, Andrea Maria, 2004. "Wann kehren junge Mütter auf den Arbeitsmarkt zurück? Eine Verweildaueranalyse für Deutschland," ZEW Discussion Papers 04-08, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  10. Lauer, Charlotte, 2003. "Education and Unemployment: A French-German Comparison," ZEW Discussion Papers 03-34, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  11. Koenker R. & Geling O., 2001. "Reappraising Medfly Longevity: A Quantile Regression Survival Analysis," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 458-468, June.
  12. 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.
  13. Powell, James L., 1986. "Censored regression quantiles," Journal of Econometrics, Elsevier, vol. 32(1), pages 143-155, June.
  14. Roger Koenker & Zhijie Xiao, 2002. "Inference on the Quantile Regression Process," Econometrica, Econometric Society, vol. 70(4), pages 1583-1612, July.
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Citations

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Cited by:
  1. Achim Schmillen & Joachim Möller, 2009. "Determinants of Lifetime Unemployment - A Micro Data Analysis with Censored Quantile Regressions," Working Papers 275, Institut für Ost- und Südosteuropaforschung (Institute for East and South-East European Studies).
  2. Frosch, Katharina, 2006. "Reemployment rates over the life course: Is there still hope after late career job loss?," Thuenen-Series of Applied Economic Theory 64, University of Rostock, Institute of Economics.
  3. Bernd Fitzenberger & Ralf Wilke & Xuan Zhang, 2010. "Implementing Box-Cox Quantile Regression," Econometric Reviews, Taylor & Francis Journals, vol. 29(2), pages 158-181.
  4. Arntz, Melanie, 2005. "The Geographical Mobility of Unemployed Workers: Evidence from West Germany," ZEW Discussion Papers 05-34, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  5. Arntz, Melanie & Wilke, Ralf A., 2006. "Unemployment duration in Germany: individual and regional determinants of local job finding, migration and subsidized employment," ZEW Discussion Papers 06-92, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  6. 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.
  7. 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.
  8. Andrew Chesher, 2002. "Local identification in nonseparable models," CeMMAP working papers CWP05/02, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  9. Bruder, Jana & Frosch, Katharina, 2006. "Foreign nationality and age: A double drawback for reemployment in Germany?," Thuenen-Series of Applied Economic Theory 63, University of Rostock, Institute of Economics.
  10. John P. Haisken-DeNew & Matthias Vorell, 2009. "Killing them with Kindness: Negative Distributional Externalities of Increasing UI Benefits," Ruhr Economic Papers 0121, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
  11. Ralf Wilke, . "Unemployment Duration in the United Kingdom: An Incomplete Data Approach," Discussion Papers 09/02, University of Nottingham, School of Economics.
  12. Tomi Kyyrä & Ralf A. Wilke, 2006. "Reduction in the Long-Term Unemployment of the Elderly: A Success Story from Finland Revised," Discussion Papers 396, Government Institute for Economic Research Finland (VATT).
  13. Schmillen, Achim & Möller, Joachim, 2012. "Distribution and determinants of lifetime unemployment," Labour Economics, Elsevier, vol. 19(1), pages 33-47.
  14. Kyyrä, Tomi & Wilke, Ralf A., 2004. "Reduction in the Long-Term Unemployment of the Elderly: A Success Story from Finland," ZEW Discussion Papers 04-63, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  15. Fries, Jan & Göbel, Christian & Maier, Michael F., 2013. "Do employment subsidies reduce early apprenticeship dropout?," ZEW Discussion Papers 13-053, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.

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