IDEAS home Printed from https://ideas.repec.org/a/bla/jorssa/v169y2006i3p585-604.html
   My bibliography  Save this article

Survey non‐response and the duration of unemployment

Author

Listed:
  • Gerard J. Van Den Berg
  • Maarten Lindeboom
  • Peter J. Dolton

Abstract

Summary. Social surveys are often used to estimate unemployment duration distributions. Survey non‐response may then cause a bias. We study this by using a data set that combines survey information of individual workers with administrative records of the same workers. The latter provide information on durations of unemployment and personal characteristics of all survey respondents and non‐respondents. We develop a method to distinguish empirically between two explanations for a bias in results based on only survey data: selectivity due to related unobserved determinants of durations of unemployment and non‐response and a causal effect of a job exit on non‐response. The latter may occur even in fully homogeneous populations. The methodology exploits variation in the timing of the duration outcome relative to the survey moment. The results show evidence for both explanations. We discuss implications for standard methods to deal with non‐response bias.

Suggested Citation

  • Gerard J. Van Den Berg & Maarten Lindeboom & Peter J. Dolton, 2006. "Survey non‐response and the duration of unemployment," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 169(3), pages 585-604, July.
  • Handle: RePEc:bla:jorssa:v:169:y:2006:i:3:p:585-604
    DOI: 10.1111/j.1467-985X.2006.00422.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1467-985X.2006.00422.x
    Download Restriction: no

    File URL: https://libkey.io/10.1111/j.1467-985X.2006.00422.x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Peter Dolton & Donal O'Neill, 2002. "The Long-Run Effects of Unemployment Monitoring and Work-Search Programs: Experimental Evidence from the United Kingdom," Journal of Labor Economics, University of Chicago Press, vol. 20(2), pages 381-403, Part.
    2. Peter Dolton & Donal O'Neill, 1996. "The Restart Effect and the Return to Full‐Time Stable Employment," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 159(2), pages 275-288, March.
    3. Ridder, Geert & Tunali, Insan, 1999. "Stratified partial likelihood estimation," Journal of Econometrics, Elsevier, vol. 92(2), pages 193-232, October.
    4. Thierry Kamionka & Guy Lacroix, 2003. "Assessing the Impact of Non-Response on the Treatment Effect in the Canadian Self-Sufficiency Experiment," Working Papers 2003-37, Center for Research in Economics and Statistics.
    5. Gerard J. van den Berg & Maarten Lindeboom & Peter J. Dolton, 2004. "Survey Non-response and Unemployment Duration," Tinbergen Institute Discussion Papers 04-094/3, Tinbergen Institute.
    6. Dolton, Peter & O'Neill, Donal, 1996. "Unemployment Duration and the Restart Effect: Some Experimental Evidence," Economic Journal, Royal Economic Society, vol. 106(435), pages 387-400, March.
    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. Warnke, Arne Jonas, 2017. "An investigation of record linkage refusal and its implications for empirical research," ZEW Discussion Papers 17-031, ZEW - Leibniz Centre for European Economic Research.
    2. Tobias Gramlich, 2008. "Analyse der Panelausfälle im Sozio-oekonomischen Panel SOEP," SOEPpapers on Multidisciplinary Panel Data Research 129, DIW Berlin, The German Socio-Economic Panel (SOEP).
    3. Tadeusz Bednarski, 2014. "On robust causality nonresponse testing in duration studies under the Cox model," Statistical Papers, Springer, vol. 55(1), pages 221-231, February.

    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. van den Berg, Gerard J & Lindeboom, Maarten & Dolton, Peter J, 2004. "Survey non-response and unemployment duration," Working Paper Series 2004:12, IFAU - Institute for Evaluation of Labour Market and Education Policy.
    2. Imbens, Guido W. & Pizer, William A., 2000. "The Analysis of Randomized Experiments with Missing Data," Discussion Papers 10596, Resources for the Future.
    3. Phillips, David C., 2014. "Getting to work: Experimental evidence on job search and transportation costs," Labour Economics, Elsevier, vol. 29(C), pages 72-82.
    4. Bruno Crépon & Muriel Dejemeppe & Marc Gurgand, 2005. "Counseling the unemployed: does it lower unemployment duration and recurrence?," Working Papers halshs-00590769, HAL.
    5. Bennmarker, Helge & Skans, Oskar Nordström & Vikman, Ulrika, 2013. "Workfare for the old and long-term unemployed," Labour Economics, Elsevier, vol. 25(C), pages 25-34.
    6. Rodríguez-Planas, Núria, 2007. "What Works Best for Getting the Unemployed Back to Work: Employment Services or Small-Business Assistance Programmes? Evidence from Romania," IZA Discussion Papers 3051, Institute of Labor Economics (IZA).
    7. Bagaria, Nitika & Petrongolo, Barbara & Van Reenen, John, 2015. "Can helping the sick hurt the able? Incentives, information and disruption in a disability-related welfare reform," LSE Research Online Documents on Economics 62566, London School of Economics and Political Science, LSE Library.
    8. Barbara Petrongolo, 2007. "What Are the Long-Term Effects of UI? Evidence from the UK JSA Reform," CEP Discussion Papers dp0841, Centre for Economic Performance, LSE.
    9. Bart Cockx & Muriel Dejemeppe & Andrey Launov & Bruno Van der Linden, 2018. "Imperfect Monitoring of Job Search: Structural Estimation and Policy Design," Journal of Labor Economics, University of Chicago Press, vol. 36(1), pages 75-120.
    10. Manning, Alan, 2009. "You can't always get what you want: The impact of the UK Jobseeker's Allowance," Labour Economics, Elsevier, vol. 16(3), pages 239-250, June.
    11. Bart COCKX & Muriel DEJEMEPPE & Andrey LAUNOV & Bruno VAN DER LINDEN, 2011. "Monitoring, Sanctions and Front-Loading of Job Search in a Non-Stationary Model," LIDAM Discussion Papers IRES 2011042, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
    12. Graversen, B.K. & van Ours, J.C., 2006. "How to Help Unemployed Find Jobs Quickly : Experimental Evidence from a Mandatory Activation Program," Discussion Paper 2006-126, Tilburg University, Center for Economic Research.
    13. Pieter Gautier & Paul Muller & Bas van der Klaauw & Michael Rosholm & Michael Svarer, 2018. "Estimating Equilibrium Effects of Job Search Assistance," Journal of Labor Economics, University of Chicago Press, vol. 36(4), pages 1073-1125.
    14. Denis Conniffe & Donal O'Neill, 2011. "Efficient Probit Estimation with Partially Missing Covariates," Advances in Econometrics, in: Missing Data Methods: Cross-sectional Methods and Applications, pages 209-245, Emerald Group Publishing Limited.
    15. Peter Dolton & Yvonne Balfour, 2002. "Der New Deal, “Welfare to Work”‐Programme in Großbritannien," Perspektiven der Wirtschaftspolitik, Verein für Socialpolitik, vol. 3(2), pages 175-187, May.
    16. Graversen, Brian Krogh & van Ours, Jan C., 2008. "How to help unemployed find jobs quickly: Experimental evidence from a mandatory activation program," Journal of Public Economics, Elsevier, vol. 92(10-11), pages 2020-2035, October.
    17. Rosholm, Michael, 2008. "Experimental Evidence on the Nature of the Danish Employment Miracle," Working Papers 08-14, University of Aarhus, Aarhus School of Business, Department of Economics.
    18. van der Klaauw, Bas & Ziegler, Lennart, 2019. "A Field Experiment on Labor Market Speeddates for Unemployed Workers," IZA Discussion Papers 12140, Institute of Labor Economics (IZA).
    19. Bagaria, Nitika & Petrongolo, Barbara & Van Reenen, John, 2015. "Can Helping the Sick Hurt the Able? Incentives, Information and Disruption in a Disability-Related Welfare Reform," IZA Discussion Papers 9089, Institute of Labor Economics (IZA).
    20. Gerard J. van den Berg & Bas van der Klaauw, 2019. "Structural Empirical Evaluation Of Job Search Monitoring," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 60(2), pages 879-903, May.

    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:bla:jorssa:v:169:y:2006:i:3:p:585-604. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/rssssea.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.