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U.S. Unemployment Duration: Has Long Become Longer or Short Become Shorter?

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  • Pedro Portugal

Abstract

The U.S. labor market has been experiencing unprecedented high average unemployment duration. The shift in the unemployment duration distribution can be traced back to the early nineties. In this study, censored quantile regression methods are employed to analyze the changes in the U.S. unemployment duration distribution. We explore the decomposition method proposed by Machado and Mata (2005) to disentangle the contribution of the changes generated by the covariate distribution and by the conditional distribution. The data used in this inquiry are taken from the nationally representative Displaced Worker Surveys of 1988 and 1998. We provide evidence that the change in the unemployment duration distribution is mainly produced by the opposing effects of a sharp rise in job-to-job transition rates and an increased sensitivity of unemployment duration to unemployment rates. Compositional changes in the labor force played a limited role. We rationalize our findings by arguing that improved screening technology is likely to be the relevant underlying mechanism at work.

Suggested Citation

  • Pedro Portugal, 2007. "U.S. Unemployment Duration: Has Long Become Longer or Short Become Shorter?," Working Papers 2007/17, Czech National Bank.
    • Handle: RePEc:cnb:wpaper:2007/17
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    References listed on IDEAS

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    1. Addison, John T & Portugal, Pedro, 1987. "On the Distributional Shape of Unemployment Duration," The Review of Economics and Statistics, MIT Press, vol. 69(3), pages 521-526, August.
    2. Susan N. Houseman, 2001. "Why Employers Use Flexible Staffing Arrangements: Evidence from an Establishment Survey," ILR Review, Cornell University, ILR School, vol. 55(1), pages 149-170, October.
    3. Chinhui Juhn & Kevin Murphy & Robert Topel, 2002. "Current Unemployment, Historically Contemplated," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 33(1), pages 79-136.
    4. David H. Autor, 2001. "Why Do Temporary Help Firms Provide Free General Skills Training?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(4), pages 1409-1448.
    5. David H. Autor & Lawrence F. Katz & Melissa S. Kearney, 2005. "Trends in U.S. Wage Inequality: Re-Assessing the Revisionists," NBER Working Papers 11627, National Bureau of Economic Research, Inc.
    6. John T. Addison & Pedro Portugal, 1992. "Advance Notice and Unemployment: New Evidence from the 1988 Displaced Worker Survey," ILR Review, Cornell University, ILR School, vol. 45(4), pages 645-664, July.
    7. Powell, James L., 1984. "Least absolute deviations estimation for the censored regression model," Journal of Econometrics, Elsevier, vol. 25(3), pages 303-325, July.
    8. John T. Addison & McKinley L. Blackburn, 1994. "The Worker Adjustment and Retraining Notification Act," Journal of Economic Perspectives, American Economic Association, vol. 8(1), pages 181-190, Winter.
    9. 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.
    10. Robert Shimer, 2005. "The cyclicality of hires, separations, and job-to-job transitions," Review, Federal Reserve Bank of St. Louis, vol. 87(Jul), pages 493-508.
    11. Mark C. Berger & Dan Black & Jeffrey Smith, 2000. "Evaluating Profiling as a Means of Allocating Government Services," University of Western Ontario, Departmental Research Report Series 200018, University of Western Ontario, Department of Economics.
    12. Mukoyama, Toshihiko & Sahin, Aysegl, 2009. "Why did the average duration of unemployment become so much longer?," Journal of Monetary Economics, Elsevier, vol. 56(2), pages 200-209, March.
    13. Lawrence F. Katz & Alan B. Krueger, 1999. "The High-Pressure U.S. Labor Market of the 1990s," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 30(1), pages 1-88.
    14. William J. Baumol & Edward N. Wolff, 1998. "Speed of Technical Progress and Length of the Average Interjob Period," Economics Working Paper Archive wp_237, Levy Economics Institute.
    15. Bassett, Gilbert W. & Koenker, Roger W., 1986. "Strong Consistency of Regression Quantiles and Related Empirical Processes," Econometric Theory, Cambridge University Press, vol. 2(2), pages 191-201, August.
    16. Peter Kuhn & Mikal Skuterud, 2004. "Internet Job Search and Unemployment Durations," American Economic Review, American Economic Association, vol. 94(1), pages 218-232, March.
    17. Buchinsky, Moshe, 1994. "Changes in the U.S. Wage Structure 1963-1987: Application of Quantile Regression," Econometrica, Econometric Society, vol. 62(2), pages 405-458, March.
    18. Powell, James L., 1986. "Censored regression quantiles," Journal of Econometrics, Elsevier, vol. 32(1), pages 143-155, June.
    19. Olivier Jean Blanchard & Peter Diamond, 1994. "Ranking, Unemployment Duration, and Wages," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 61(3), pages 417-434.
    20. David H. Autor & David Scarborough, 2004. "Will Job Testing Harm Minority Workers?," NBER Working Papers 10763, National Bureau of Economic Research, Inc.
    21. Robert E. Hall, 2006. "Job Loss, Job Finding and Unemployment in the US Economy over the Past Fifty Years," NBER Chapters, in: NBER Macroeconomics Annual 2005, Volume 20, pages 101-166, National Bureau of Economic Research, Inc.
    22. Robert G. Valletta, 1998. "Changes in the structure and duration of U.S. unemployment, 1967-1998," Economic Review, Federal Reserve Bank of San Francisco, pages 29-40.
    23. Bilias, Yannis & Chen, Songnian & Ying, Zhiliang, 2000. "Simple resampling methods for censored regression quantiles," Journal of Econometrics, Elsevier, vol. 99(2), pages 373-386, December.
    24. Bruce Fallick & Charles A. Fleischman, 2004. "Employer-to-employer flows in the U.S. labor market: the complete picture of gross worker flows," Finance and Economics Discussion Series 2004-34, Board of Governors of the Federal Reserve System (U.S.).
    25. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    26. David H. Autor & Lawrence F. Katz & Melissa S. Kearney, 2008. "Trends in U.S. Wage Inequality: Revising the Revisionists," The Review of Economics and Statistics, MIT Press, vol. 90(2), pages 300-323, May.
    27. Oliver Jean Blanchard & Peter Diamond, 1990. "The Cyclical Behovior of the Gross Flows of U.S. Workers," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 21(2), pages 85-156.
    28. Katharine G. Abraham & Robert Shimer, 2001. "Changes in Unemployment Duration and Labor Force Attachment," NBER Working Papers 8513, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Ronald Bachmann & Mathias Sinning, 2011. "Decomposing the Ins and Outs of Cyclical Unemployment," Ruhr Economic Papers 0305, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    2. Ronald Bachmann & Mathias Sinning, 2016. "Decomposing the Ins and Outs of Cyclical Unemployment," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(6), pages 853-876, December.
    3. 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 - Leibniz Centre for European Economic Research.
    4. Mukoyama, Toshihiko & Sahin, Aysegl, 2009. "Why did the average duration of unemployment become so much longer?," Journal of Monetary Economics, Elsevier, vol. 56(2), pages 200-209, March.
    5. Rubiana Chamarbagwala, 2010. "Economic liberalization and urban–rural inequality in India: a quantile regression analysis," Empirical Economics, Springer, vol. 39(2), pages 371-394, October.
    6. Fitzenberger, Bernd & Winker, Peter, 2007. "Improving the computation of censored quantile regressions," Computational Statistics & Data Analysis, Elsevier, vol. 52(1), pages 88-108, September.
    7. Philip Ball & Ralf Wilke, 2009. "Job seeker's allowance in Great Britain: How does the regional labour market affect the duration until job finding?," Discussion Papers 09/03, University of Nottingham, School of Economics.
    8. Josep Pijoan-Mas & Hernan Ruffo & Claudio Michelacci, 2012. "Inequality in Unemployment Risk and in Wages," 2012 Meeting Papers 794, Society for Economic Dynamics.
    9. Bernd Fitzenberger & Ralf A. Wilke, 2010. "New Insights into Unemployment Duration and Post Unemployment Earnings in Germany," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(6), pages 794-826, December.
    10. repec:zbw:rwirep:0305 is not listed on IDEAS
    11. Samer Kherfi, 2015. "Determinants of Unemployment Duration," Working Papers 909, Economic Research Forum, revised May 2015.

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    More about this item

    Keywords

    Quantile Regression; Duration Analysis; Unemployment Duration; Counterfactual Decomposition.;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search

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