[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/p/ptu/wpaper/w200201.html
   My bibliography  Save this paper

Quantile Regression Methods: na Application to U.S. Unemployment Duration

Author

Listed:
  • Pedro Portugal
  • José A. F. Machado
Abstract
Quantile regression constitutes a natural and flexible framework for the analysis of duration data in general and unemployment duration in particular. Comparison of the quantile regressions for lower and upper tails of the duration distribution shed important insights on the different determinants of short or long-term unemployment. Using quantile regression techniques, we estimate conditional quantile functions of US unemployment duration; then, resampling the estimated conditional quantile process we are able to infer the implied hazard functions. The proposed methodology proves to be resilient to several misspecification that typically afflict proportional hazard models such as, neglected heterogeneity and baseline misspecification. Overall, the results provide clear indications of the interest of quantile regression to the analysis of duration data.

Suggested Citation

  • Pedro Portugal & José A. F. Machado, 2002. "Quantile Regression Methods: na Application to U.S. Unemployment Duration," Working Papers w200201, Banco de Portugal, Economics and Research Department.
    • Handle: RePEc:ptu:wpaper:w200201
    as

    Download full text from publisher

    File URL: https://www.bportugal.pt/sites/default/files/anexos/papers/wp200201.pdf
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. repec:iab:iabfme:200709(en is not listed on IDEAS
    2. 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 - Leibniz Centre for European Economic Research.
    3. Mário Centeno & Álvaro Novo, 2006. "The Impact of Unemployment Insurance on the Job Match Quality: A Quantile Regression Approach," Empirical Economics, Springer, vol. 31(4), pages 905-919, November.
    4. Bernd Fitzenberger & Ralf Wilke, 2006. "Using quantile regression for duration analysis," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 90(1), pages 105-120, March.
    5. Wichert, Laura & Wilke, Ralf A., 2007. "Simple nonparametric estimators for unemployment duration analysis," FDZ Methodenreport 200709_en, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    6. Mário Centeno, 2006. "The Impact of Unemployment Insurance Generosity on Match Quality Distribution," Working Papers w200612, Banco de Portugal, Economics and Research Department.
    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 - Leibniz Centre for European Economic Research.
    8. Carlos Alberto Foronda Rojas & Andrea Alcaráz, 2015. "Estimation and characteristics of unemployment duration in Bolivia," Investigación & Desarrollo, Universidad Privada Boliviana, vol. 2(1), pages 15-40.
    9. Centeno, Mario & Novo, Alvaro A., 2006. "The impact of unemployment insurance generosity on match quality distribution," Economics Letters, Elsevier, vol. 93(2), pages 235-241, November.

    More about this item

    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:ptu:wpaper:w200201. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: DEE-NTD (email available below). General contact details of provider: https://edirc.repec.org/data/bdpgvpt.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.