IDEAS home Printed from https://ideas.repec.org/p/cnb/wpaper/2007-17.html
   My bibliography  Save this paper

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.cnb.cz/export/sites/cnb/en/economic-research/.galleries/research_publications/cnb_wp/cnbwp_2007_17.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. William J. Baumol & Edward N. Wolff, 1998. "Speed of Technical Progress and Length of the Average Interjob Period," Macroeconomics 9805022, University Library of Munich, Germany.
    11. 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.
    12. Powell, James L., 1984. "Least absolute deviations estimation for the censored regression model," Journal of Econometrics, Elsevier, vol. 25(3), pages 303-325, July.
    13. 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.
    14. 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.
    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. 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.
    17. 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.
    18. 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.
    19. 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.).
    20. 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.
    21. Peter Kuhn & Mikal Skuterud, 2004. "Internet Job Search and Unemployment Durations," American Economic Review, American Economic Association, vol. 94(1), pages 218-232, March.
    22. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    23. 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.
    24. 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.
    25. Powell, James L., 1986. "Censored regression quantiles," Journal of Econometrics, Elsevier, vol. 32(1), pages 143-155, June.
    26. 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.
    27. Katharine G. Abraham & Robert Shimer, 2001. "Changes in Unemployment Duration and Labor Force Attachment," NBER Working Papers 8513, National Bureau of Economic Research, Inc.
    28. David H. Autor & David Scarborough, 2004. "Will Job Testing Harm Minority Workers?," NBER Working Papers 10763, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Juliana Guimarães & (Universidade NOVA de Lisboa, 2004. "Has long become longer or short become shorter? Evidence from a censored quantile regression analysis of the changes in the distribution of U.S. unemployment duration," Econometric Society 2004 Latin American Meetings 128, Econometric Society.
    2. 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.
    3. Victor Chernozhukov & Iván Fernández‐Val & Blaise Melly, 2013. "Inference on Counterfactual Distributions," Econometrica, Econometric Society, vol. 81(6), pages 2205-2268, November.
    4. Komunjer, Ivana, 2013. "Quantile Prediction," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 961-994, Elsevier.
    5. Gustavsen, Geir Waehler, 2005. "Public Policies and the Demand for Carbonated Soft Drinks: A Censored Quantile Regression Approach," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24737, European Association of Agricultural Economists.
    6. Graham, Bryan S. & Hahn, Jinyong & Poirier, Alexandre & Powell, James L., 2018. "A quantile correlated random coefficients panel data model," Journal of Econometrics, Elsevier, vol. 206(2), pages 305-335.
    7. Zhangong Zhou & Rong Jiang & Weimin Qian, 2013. "LAD variable selection for linear models with randomly censored data," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 76(2), pages 287-300, February.
    8. Lucca, David & Seru, Amit & Trebbi, Francesco, 2014. "The revolving door and worker flows in banking regulation," Journal of Monetary Economics, Elsevier, vol. 65(C), pages 17-32.
    9. Rothe, Christoph & Wied, Dominik, 2020. "Estimating derivatives of function-valued parameters in a class of moment condition models," Journal of Econometrics, Elsevier, vol. 217(1), pages 1-19.
    10. Eide, Eric & Showalter, Mark H., 1998. "The effect of school quality on student performance: A quantile regression approach," Economics Letters, Elsevier, vol. 58(3), pages 345-350, March.
    11. David H. Autor, 2008. "The Economics of Labor Market Intermediation: An Analytic Framework," NBER Working Papers 14348, National Bureau of Economic Research, Inc.
    12. Lee, Sokbae, 2007. "Endogeneity in quantile regression models: A control function approach," Journal of Econometrics, Elsevier, vol. 141(2), pages 1131-1158, December.
    13. Marcelo Cajias & Philipp Freudenreich & Anna Freudenreich, 2020. "Exploring the determinants of real estate liquidity from an alternative perspective: censored quantile regression in real estate research," Journal of Business Economics, Springer, vol. 90(7), pages 1057-1086, August.
    14. Schmidt, Christoph M. & Tauchmann, Harald, 2011. "Heterogeneity in the intergenerational transmission of alcohol consumption: A quantile regression approach," Journal of Health Economics, Elsevier, vol. 30(1), pages 33-42, January.
    15. Daniel Pollmann & Thomas Dohmen & Franz Palm, 2020. "Robust Estimation of Wage Dispersion with Censored Data: An Application to Occupational Earnings Risk and Risk Attitudes," De Economist, Springer, vol. 168(4), pages 519-540, December.
    16. Yukako Ono & Daniel Sullivan, 2013. "Manufacturing Plants' Use of Temporary Workers: An Analysis Using Census Microdata," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 52(2), pages 419-443, April.
    17. Moshe Buchinsky & Jinyong Hahn, 1998. "An Alternative Estimator for the Censored Quantile Regression Model," Econometrica, Econometric Society, vol. 66(3), pages 653-672, May.
    18. Fitzenberger, Bernd, 1994. "A note on estimating censored quantile regressions," Discussion Papers 14, University of Konstanz, Center for International Labor Economics (CILE).
    19. Christoph M. Schmidt & Harald Tauchmann, 2010. "Heterogeneity in the Intergenerational Transmission of Alcohol Consumption – A Quantile Regression Approach," Ruhr Economic Papers 0186, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    20. Honore, Bo & Khan, Shakeeb & Powell, James L., 2002. "Quantile regression under random censoring," Journal of Econometrics, Elsevier, vol. 109(1), pages 67-105, July.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cnb:wpaper:2007/17. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Jan Babecky (email available below). General contact details of provider: https://edirc.repec.org/data/cnbgvcz.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.