IDEAS home Printed from https://ideas.repec.org/p/kud/kuieca/2004_22.html
   My bibliography  Save this paper

A Danish Profiling System

Author

Listed:
  • Michael Rosholm

    (Department of Economics, University of Aarhus)

  • Michael Svarer

    (Department of Economics, University of Aarhus)

  • Bo Hammer

    (Danish Ministry of Employment)

Abstract

We describe the statistical model used for profiling new unemployed workers in Denmark. When a worker - during his or her first six months in unemployment - enters the employment office for the first time, this model predicts whether he or she will be unemployed for more than six months from that date or not. The case workers’ assessment of how to treat the person is partially based upon this prediction.

Suggested Citation

  • Michael Rosholm & Michael Svarer & Bo Hammer, 2004. "A Danish Profiling System," CAM Working Papers 2004-22, University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics.
  • Handle: RePEc:kud:kuieca:2004_22
    as

    Download full text from publisher

    File URL: http://www.econ.ku.dk/cam/wp0910/wp0203/2004-22.pdf/
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Markus Frölich & Michael Lechner & Heidi Steiger, 2003. "Statistically Assisted Programme Selection - International Experiences and Potential Benefits for Switzerland," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 139(III), pages 311-331, September.
    2. Peter Jensen & Michael Svarer, 2003. "Short- and long-term unemployment: How do temporary layoffs affect this distinction?," Empirical Economics, Springer, vol. 28(1), pages 23-44, January.
    3. Svarer, Michael & Rosholm, Michael & Munch, Jakob Roland, 2005. "Rent control and unemployment duration," Journal of Public Economics, Elsevier, vol. 89(11-12), pages 2165-2181, December.
    4. Mark C. Berger & Dan Black & Jeffrey Smith, 2000. "Evaluating Profiling as a Means of Allocating Government Services," UWO Department of Economics Working Papers 200018, University of Western Ontario, Department of Economics.
    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. Maciej Bukowski & Grzegorz Koloch & Piotr Lewandowski & Anna Baranowska & Iga Magda & Arkadiusz Szydlowski & Jacek Bielinski & Magdalena Bober & Malgorzata Sarzalska & Julian Zawistowski, 2008. "Employment in Poland 2007. Security on a Flexible Labour Market," Books and Reports published by IBS, Instytut Badan Strukturalnych, number zwp2007 edited by Maciej Bukowski.
    2. Philip J. O’Connell & Seamus Mcguinness & Elish Kelly, 2012. "The Transition from Short- to Long-Term Unemployment: A Statistical Profiling Model for Ireland," The Economic and Social Review, Economic and Social Studies, vol. 43(1), pages 135-164.
    3. Margaretha Buurman & Robert Dur, 2012. "Incentives and the Sorting of Altruistic Agents into Street-Level Bureaucracies," Scandinavian Journal of Economics, Wiley Blackwell, vol. 114(4), pages 1318-1345, December.
    4. Michael Rosholm & Michael Svarer, 2004. "Estimating the Threat Effect of Active Labour Market Programmes," CAM Working Papers 2004-14, University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics.
    5. Staghøj, Jonas & Svarer, Michael & Rosholm, Michael, 2007. "A Statistical Programme Assignment Model," IZA Discussion Papers 3165, Institute for the Study of Labor (IZA).

    More about this item

    Keywords

    unemployment duration; profiling;

    JEL classification:

    • J64 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Unemployment: Models, Duration, Incidence, and Job Search
    • J68 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Public Policy

    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:kud:kuieca:2004_22. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Thomas Hoffmann). General contact details of provider: http://edirc.repec.org/data/camkudk.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.