IDEAS home Printed from https://ideas.repec.org/p/ifs/cemmap/03-06.html

Measurement Error Bias Reduction in Unemployment Durations

Author

Listed:
  • Montezuma Dumangane

    (Institute for Fiscal Studies)

Abstract

The impact of duration response measurement error is investigated by using small variance approximations. The inconsistency of GMM estimators that ignore measurement error is studied for both single spell models with right censoring, and for a two spell lagged duration dependence model. The results suggest a corrected GMM estimator for the error free and measurement error distributions. When the error free density is known, identification is achieved by using the moment condition that defines the measurement error sensitive specification score test. The results are applied to unemployment duration data from the BHPS.

Suggested Citation

  • Montezuma Dumangane, 2006. "Measurement Error Bias Reduction in Unemployment Durations," CeMMAP working papers CWP03/06, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    • Handle: RePEc:ifs:cemmap:03/06
    as

    Download full text from publisher

    File URL: http://cemmap.ifs.org.uk/wps/cwp0603.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. repec:adr:anecst:y:1999:i:55-56:p:09 is not listed on IDEAS
    2. Atkinson, A. B. & Gomulka, J. & Micklewright, J. & Rau, N., 1984. "Unemployment benefit, duration and incentives in Britain : How robust is the evidence?," Journal of Public Economics, Elsevier, vol. 23(1-2), pages 3-26.
    3. Jason Abrevaya & Jerry A. Hausman, 1999. "Semiparametric Estimation with Mismeasured Dependent Variables: An Application to Duration Models for Unemployment Spells," Annals of Economics and Statistics, GENES, issue 55-56, pages 243-275.
    Full references (including those not matched with items on IDEAS)

    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. Bonev, Petyo, 2020. "Nonparametric identification in nonseparable duration models with unobserved heterogeneity," Economics Working Paper Series 2005, University of St. Gallen, School of Economics and Political Science.
    2. Berg, Andrew & Ostry, Jonathan D. & Zettelmeyer, Jeromin, 2012. "What makes growth sustained?," Journal of Development Economics, Elsevier, vol. 98(2), pages 149-166.
    3. Richard Layte & Tim Callan, 2001. "Unemployment, Welfare Benefits and the Financial Incentive to Work," The Economic and Social Review, Economic and Social Studies, vol. 32(2), pages 103-129.
    4. Pellizzari, Michele, 2006. "Unemployment duration and the interactions between unemployment insurance and social assistance," Labour Economics, Elsevier, vol. 13(6), pages 773-798, December.
    5. Christoph Breunig & Stephan Martin, 2020. "Nonclassical Measurement Error in the Outcome Variable," Papers 2009.12665, arXiv.org, revised May 2021.
    6. Leonard Goff, 2022. "Identifying causal effects with subjective ordinal outcomes," Papers 2212.14622, arXiv.org, revised Jan 2025.
    7. Nicole Coomer & Walter Wessels, 2013. "The Effect of the Minimum Wage on Covered Teenage Employment," Journal of Labor Research, Springer, vol. 34(3), pages 253-280, September.
    8. Wiji Narendranathan & Mark B. Stewart, 1993. "Modelling the Probability of Leaving Unemployment: Competing Risks Models with Flexible Base‐Line Hazards," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 42(1), pages 63-83, March.
    9. Gutknecht, Daniel, "undated". "Nonclassical Measurement Error in a Nonlinear (Duration) Model," Economic Research Papers 270763, University of Warwick - Department of Economics.
    10. Emmanuel Duguet & Florent Frémigacci & Yannick L’Horty, 2008. "Indemnisation du chômage et retour à l’emploi : un examen économétrique," Documents de recherche 08-07, Centre d'Études des Politiques Économiques (EPEE), Université d'Evry Val d'Essonne.
    11. K. Van Montfort & Th. Doodeman & J. H. S. Lobregt & W. S. Zwinkels, 2000. "Effects of reintegration activities on the Dutch labour market, regarding several levels of education," Applied Economics, Taylor & Francis Journals, vol. 32(2), pages 175-182.
    12. Arezzo, Maria Felice & Horodnic, Ioana A. & Williams, Colin C. & Guagnano, Giuseppina, 2024. "Measuring participation in undeclared work in Europe using survey data: A method for resolving social desirability bias," Socio-Economic Planning Sciences, Elsevier, vol. 91(C).
    13. Bruce Headey & Ruud Muffels, 2008. "Do Generous Welfare States Generate Efficiency Gains which Counterbalance Short Run Losses? Testing Downside Risk Theory with Economic Panel Data for the U.S., Germany and The Netherlands," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 86(2), pages 337-354, April.
    14. Winter, Joachim, 0000. "Bracketing effects in categorized survey questions and the measurement of economic quantities," Sonderforschungsbereich 504 Publications 02-35, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
    15. John C. Ham & Xianghong Li & Lara D. Shore-Sheppard, 2016. "The Employment Dynamics of Disadvantaged Women: Evidence from the SIPP," Journal of Labor Economics, University of Chicago Press, vol. 34(4), pages 899-944.
    16. Stephen P. Jenkins & Carlos García-Serrano, 2000. "Re-employment Probabilities for Spanish Men: What Role Does the Unemployment Benefit System Play?," Discussion Papers of DIW Berlin 216, DIW Berlin, German Institute for Economic Research.
    17. Knight, John & Li, Shi, 2006. "Unemployment duration and earnings of re-employed workers in urban China," China Economic Review, Elsevier, vol. 17(2), pages 103-119.
    18. Raj Chetty, 2004. "Optimal Unemployment Insurance When Income Effects are Large," NBER Working Papers 10500, National Bureau of Economic Research, Inc.
    19. Cheng Chou & Ruoyao Shi, 2021. "What time use surveys can (and cannot) tell us about labor supply," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(7), pages 917-937, November.
    20. Taylor, Mark P & Böheim, René, 2000. "Unemployment Duration and Exit States in Britain," CEPR Discussion Papers 2500, C.E.P.R. Discussion Papers.

    More about this item

    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:ifs:cemmap:03/06. 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: Emma Hyman (email available below). General contact details of provider: https://edirc.repec.org/data/cmifsuk.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.