IDEAS home Printed from https://ideas.repec.org/p/iza/izadps/dp6650.html
   My bibliography  Save this paper

Estimating the Latent Effect of Unemployment Benefits on Unemployment Duration

Author

Listed:
  • Lo, Simon M.S.

    (Lingnan University)

  • Stephan, Gesine

    (Institute for Employment Research (IAB), Nuremberg)

  • Wilke, Ralf

    (University of York)

Abstract

We estimate the effect of a shortening of unemployment benefit entitlements on unemployment duration. Previous studies on the same or related problems have not taken into account that the competing risks duration model is not identified and we shed first light on the question whether the non identification problem may preclude informative results. It turns out that the identification bounds for the parameters of interest are very wide in the absence of strong assumptions. We suggest an assumption on the dependence structure between risks which is milder than what conventional duration models assume. Under this assumption, the identification bounds are tighter and become informative for the direction of the treatment effect. We find evidence that the unemployed with higher pre-unemployment earnings are more likely to enter full-time employment and, in particular, subsidized self-employment.

Suggested Citation

  • Lo, Simon M.S. & Stephan, Gesine & Wilke, Ralf, 2012. "Estimating the Latent Effect of Unemployment Benefits on Unemployment Duration," IZA Discussion Papers 6650, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp6650
    as

    Download full text from publisher

    File URL: https://docs.iza.org/dp6650.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Simon M. S. Lo & Ralf A. Wilke, 2010. "A copula model for dependent competing risks," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 59(2), pages 359-376, March.
    2. Gerard J. van den Berg, 1990. "Nonstationarity in Job Search Theory," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 57(2), pages 255-277.
    3. Peng, Limin & Fine, Jason P., 2009. "Competing Risks Quantile Regression," Journal of the American Statistical Association, American Statistical Association, vol. 104(488), pages 1440-1453.
    4. 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.
    5. Rivest, Louis-Paul & Wells, Martin T., 2001. "A Martingale Approach to the Copula-Graphic Estimator for the Survival Function under Dependent Censoring," Journal of Multivariate Analysis, Elsevier, vol. 79(1), pages 138-155, October.
    6. Dlugosz, Stephan & Stephan, Gesine & Wilke, Ralf A., 2009. "Fixing the leak: Unemployment incidence before and after the 2006 reform of unemployment benefits in Germany," IAB-Discussion Paper 200925, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    7. Wilke, Ralf A. & Lo, Simon M. S. & Arntz, Melanie, 2007. "Bounds Analysis of Competing Risks: A Nonparametric Evaluation of the Effect of Unemployment Benefits on Imigration in Germany," ZEW Discussion Papers 07-049, ZEW - Leibniz Centre for European Economic Research.
    8. Lo Simon M.S. & Wilke Ralf A., 2014. "A Regression Model for the Copula-Graphic Estimator," Journal of Econometric Methods, De Gruyter, vol. 3(1), pages 21-46, January.
    9. Laura Wichert & Ralf A. Wilke, 2012. "Which factors safeguard employment?: an analysis with misclassified German register data," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 175(1), pages 135-151, January.
    10. Bo E. Honoré & Adriana Lleras-Muney, 2006. "Bounds in Competing Risks Models and the War on Cancer," Econometrica, Econometric Society, vol. 74(6), pages 1675-1698, November.
    11. Bernd Fitzenberger & Aderonke Osikominu & Robert Völter, 2006. "Imputation Rules to Improve the Education Variable in the IAB Employment Subsample," Schmollers Jahrbuch : Journal of Applied Social Science Studies / Zeitschrift für Wirtschafts- und Sozialwissenschaften, Duncker & Humblot, Berlin, vol. 126(3), pages 405-436.
    12. Johannes F. Schmieder† & Till von Wachter & Stefan Bender, 2011. "The Effects Of Extended Unemployment Insurance Over The Business Cycle: Evidence From Regression Discontinuity Estimates Over Twenty Years," Boston University - Department of Economics - Working Papers Series WP2011-063, Boston University - Department of Economics.
    13. Jan C. van Ours & Milan Vodopivec, 2006. "How Shortening the Potential Duration of Unemployment Benefits Affects the Duration of Unemployment: Evidence from a Natural Experiment," Journal of Labor Economics, University of Chicago Press, vol. 24(2), pages 351-378, April.
    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. Lo Simon M.S. & Wilke Ralf A., 2014. "A Regression Model for the Copula-Graphic Estimator," Journal of Econometric Methods, De Gruyter, vol. 3(1), pages 21-46, January.
    2. Springer, Angelina, 2013. "Selbstständige Leistungsbezieher in der Arbeitslosenversicherung : empirische Befunde zum Versicherungspflichtverhältnis auf Antrag," IAB-Forschungsbericht 201315, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].

    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. Lo Simon M.S. & Stephan Gesine & Wilke Ralf A., 2017. "Competing Risks Copula Models for Unemployment Duration: An Application to a German Hartz Reform," Journal of Econometric Methods, De Gruyter, vol. 6(1), pages 1-20, January.
    2. 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].
    3. 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].
    4. Melanie Arntz & Simon Lo & Ralf Wilke, 2014. "Bounds analysis of competing risks: a non-parametric evaluation of the effect of unemployment benefits on migration," Empirical Economics, Springer, vol. 46(1), pages 199-228, February.
    5. Simon M.S. Lo & Ralf A. Wilke, 2011. "Identifiability and estimation of the sign of a covariate effect in the competing risks model," Discussion Papers 11/03, University of Nottingham, School of Economics.
    6. repec:iab:iabfme:200704(en is not listed on IDEAS
    7. Konstantinos Tatsiramos & Jan C. Ours, 2014. "Labor Market Effects Of Unemployment Insurance Design," Journal of Economic Surveys, Wiley Blackwell, vol. 28(2), pages 284-311, April.
    8. Kohlbrecher, Britta & Merkl, Christian & Nordmeier, Daniela, 2016. "Revisiting the matching function," Journal of Economic Dynamics and Control, Elsevier, vol. 69(C), pages 350-374.
    9. repec:iab:iabfme:200806(en is not listed on IDEAS
    10. Rafael Lalive & Camille Landais & Josef Zweimüller, 2015. "Market Externalities of Large Unemployment Insurance Extension Programs," American Economic Review, American Economic Association, vol. 105(12), pages 3564-3596, December.
    11. Le Barbanchon, Thomas, 2016. "The effect of the potential duration of unemployment benefits on unemployment exits to work and match quality in France," Labour Economics, Elsevier, vol. 42(C), pages 16-29.
    12. Regina T. Riphahn & Rebecca Schrader, 2017. "Institutional reforms and an incredible rise in old age employment," Working Papers 169, Bavarian Graduate Program in Economics (BGPE).
    13. de Groot, Nynke & van der Klaauw, Bas, 2019. "The effects of reducing the entitlement period to unemployment insurance benefits," Labour Economics, Elsevier, vol. 57(C), pages 195-208.
    14. Altmann, Steffen & Cairo, Sofie & Mahlstedt, Robert & Sebald, Alexander, 2022. "Do Job Seekers Understand the UI Benefit System (And Does It Matter)?," IZA Discussion Papers 15747, Institute of Labor Economics (IZA).
    15. Kim, Dongwoo, 2023. "Partially identifying competing risks models: An application to the war on cancer," Journal of Econometrics, Elsevier, vol. 234(2), pages 536-564.
    16. Haan, Peter & Prowse, Victoria L., 2010. "The Design of Unemployment Transfers: Evidence from a Dynamic Structural Life-Cycle Model," IZA Discussion Papers 4792, Institute of Labor Economics (IZA).
    17. Albanese, Andrea & Picchio, Matteo & Ghirelli, Corinna, 2020. "Timed to Say Goodbye: Does Unemployment Benefit Eligibility Affect Worker Layoffs?," Labour Economics, Elsevier, vol. 65(C).
    18. Dlugosz, Stephan & Mammen, Enno & Wilke, Ralf A., 2017. "Generalized partially linear regression with misclassified data and an application to labour market transitions," Computational Statistics & Data Analysis, Elsevier, vol. 110(C), pages 145-159.
    19. Boockmann, Bernhard & Steffes, Susanne, 2005. "Individual and Plant-level Determinants of Job Durations in Germany," ZEW Discussion Papers 05-89, ZEW - Leibniz Centre for European Economic Research.
    20. Cockx, Bart & Declercq, Koen & Dejemeppe, Muriel & Inga, Leda & Van der Linden, Bruno, 2020. "Switching from an inclining to a zero-level unemployment benefit profile: Good for work incentives?," Labour Economics, Elsevier, vol. 64(C).
    21. Stefano Della & Jörg Heining & Johannes F Schmieder & Simon Trenkle, 2023. "Evidence on Job Search Models from a Survey of Unemployed Workers in Germany," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 137(2), pages 1181-1232.
    22. Gürtzgen, Nicole & Hiesinger, Karolin, 2020. "Dismissal protection and long-term sickness absence: First evidence from Germany," ZEW Discussion Papers 20-040, ZEW - Leibniz Centre for European Economic Research.

    More about this item

    Keywords

    unemployment benefits; unemployment duration; difference-in-differences; partial identification; dependent censoring;
    All these keywords.

    JEL classification:

    • C34 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Truncated and Censored Models; Switching Regression 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

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:iza:izadps:dp6650. 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: Holger Hinte (email available below). General contact details of provider: https://edirc.repec.org/data/izaaade.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.