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A Statistical Programme Assignment Model

Author

Listed:
  • Staghøj, Jonas

    (Aarhus University)

  • Svarer, Michael

    (Aarhus University)

  • Rosholm, Michael

    (Aarhus University)

Abstract
When treatment effects of active labour market programmes are heterogeneous in an observable way across the population, the allocation of the unemployed into different programmes becomes a particularly important issue. In this paper, we present a statistical model designed to improve the present assignment mechanism, which is based on the discretionary choice of case workers. This is done in a duration model context, using the timing-of-events framework to identify causal effects. We compare different assignment mechanisms, and the results suggest that a significant reduction in the average duration of unemployment spells may result if a statistical programme assignment model is introduced. We discuss several issues regarding the implementation of such a system, especially the interplay between the statistical model and case workers.

Suggested Citation

  • Staghøj, Jonas & Svarer, Michael & Rosholm, Michael, 2007. "A Statistical Programme Assignment Model," IZA Discussion Papers 3165, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp3165
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    References listed on IDEAS

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    1. repec:ces:ifodic:v:4:y:2006:i:2:p:14567510 is not listed on IDEAS
    2. repec:mpr:mprres:3005 is not listed on IDEAS
    3. Rosholm, Michael & Staghøj, Jonas & Svarer, Michael & Hammer, Bo, 2006. "A Danish Profiling System," Nationaløkonomisk tidsskrift, Nationaløkonomisk Forening, vol. 2006(1), pages 209-229.
    4. 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.
    5. James J. Heckman & Jeffrey Smith & Nancy Clements, 1997. "Making The Most Out Of Programme Evaluations and Social Experiments: Accounting For Heterogeneity in Programme Impacts," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 487-535.
    6. William C. Horrace & Peter Schmidt, 2000. "Multiple comparisons with the best, with economic applications," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(1), pages 1-26.
    7. Rosholm, Michael & Svarer, Michael, 2004. "Estimating the Threat Effect of Active Labour Market Programmes," IZA Discussion Papers 1300, Institute of Labor Economics (IZA).
    8. Stefanie Behncke & Markus Frölich & Michael Lechner, 2009. "Targeting Labour Market Programmes - Results from a Randomized Experiment," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 145(III), pages 221-268, September.
    9. Charles F. Manski, 2006. "Profiling: Introduction to the Feature," Economic Journal, Royal Economic Society, vol. 116(515), pages 347-350, November.
    10. James J. Heckman & Sergio Urzua & Edward Vytlacil, 2006. "Understanding Instrumental Variables in Models with Essential Heterogeneity," The Review of Economics and Statistics, MIT Press, vol. 88(3), pages 389-432, August.
    11. Lechner, Michael & Smith, Jeffrey, 2007. "What is the value added by caseworkers?," Labour Economics, Elsevier, vol. 14(2), pages 135-151, April.
    12. Mark C. Berger & Dan Black & Jeffrey Smith, 2000. "Evaluating Profiling as a Means of Allocating Government Services," University of Western Ontario, Departmental Research Report Series 200018, University of Western Ontario, Department of Economics.
    13. Markus Frölich, 2006. "Statistical treatment choice: an application to active labour market programmes," CeMMAP working papers CWP24/06, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    14. Stefanie Behncke & Markus Frölich & Michael Lechner, 2006. "Statistical Assistance for Programme Selection - For a Better Targeting of Active Labour Market Policies in Switzerland," ifo DICE Report, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 4(02), pages 61-68, July.
    15. Nicola Persico & Petra E. Todd, 2005. "Passenger Profiling, Imperfect Screening, and Airport Security," American Economic Review, American Economic Association, vol. 95(2), pages 127-131, May.
    16. Stefanie Behncke & Markus Frölich & Michael Lechner, 2006. "Statistical Assistance for Programme Selection - For a Better Targeting of Active Labour Market Policies in Switzerland," ifo DICE Report, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 4(2), pages 61-68, 07.
    17. Gaure, Simen & Roed, Knut & Zhang, Tao, 2007. "Time and causality: A Monte Carlo assessment of the timing-of-events approach," Journal of Econometrics, Elsevier, vol. 141(2), pages 1159-1195, December.
    18. Van den Berg, Gerard J., 2001. "Duration models: specification, identification and multiple durations," Handbook of Econometrics, in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 55, pages 3381-3460, Elsevier.
    19. Christopher J. O'Leary & Paul T. Decker & Stephen A. Wandner, 2002. "Targeting Reemployment Bonuses," Book chapters authored by Upjohn Institute researchers, in: Stephen A. Wandner & Randall W. Eberts & Christopher J. O'Leary (ed.), Targeting Employment Services, chapter 6, pages 161-182, W.E. Upjohn Institute for Employment Research.
    20. Jaap H. Abbring & Gerard J. van den Berg, 2003. "The Nonparametric Identification of Treatment Effects in Duration Models," Econometrica, Econometric Society, vol. 71(5), pages 1491-1517, September.
    21. Brinch, Christian N., 2007. "Nonparametric Identification Of The Mixed Hazards Model With Time-Varying Covariates," Econometric Theory, Cambridge University Press, vol. 23(2), pages 349-354, April.
    22. Dan A. Black & Jeffrey A. Smith & Mark C. Berger & Brett J. Noel, 2003. "Is the Threat of Reemployment Services More Effective Than the Services Themselves? Evidence from Random Assignment in the UI System," American Economic Review, American Economic Association, vol. 93(4), pages 1313-1327, September.
    23. Bell, Stephen H. & Orr, Larry L., 2002. "Screening (and creaming?) applicants to job training programs: the AFDC homemaker-home health aide demonstrations," Labour Economics, Elsevier, vol. 9(2), pages 279-301, April.
    24. Heckman, James & Singer, Burton, 1984. "A Method for Minimizing the Impact of Distributional Assumptions in Econometric Models for Duration Data," Econometrica, Econometric Society, vol. 52(2), pages 271-320, March.
    25. Stephan, Gesine & Rässler, Susanne & Schewe, Torben, 2006. "Wirkungsanalyse in der Bundesagentur für Arbeit : Konzeption, Datenbasis und ausgewählte Befunde," IAB-Discussion Paper 200607, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    26. Charles F. Manski, 2004. "Statistical Treatment Rules for Heterogeneous Populations," Econometrica, Econometric Society, vol. 72(4), pages 1221-1246, July.
    27. 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.
    28. Torben M. Andersen & Michael Svarer, 2007. "Flexicurity: Labour Market Performance in Denmark," CESifo Economic Studies, CESifo Group, vol. 53(3), pages 389-429, September.
    29. Nicola Persico, 2002. "Racial Profiling, Fairness, and Effectiveness of Policing," American Economic Review, American Economic Association, vol. 92(5), pages 1472-1497, December.
    30. Lars Pico Geerdsen, 2006. "Is there a Threat Effect of Labour Market Programmes? A Study of ALMP in the Danish UI System," Economic Journal, Royal Economic Society, vol. 116(513), pages 738-750, July.
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    Cited by:

    1. Weber, Andrea, 2008. "Individual Incentives in Program Participation: Splitting up the Process in Assignment and Enrollment," IZA Discussion Papers 3404, Institute of Labor Economics (IZA).
    2. Kyyrä, Tomi & Parrotta, Pierpaolo & Rosholm, Michael, 2013. "The effect of receiving supplementary UI benefits on unemployment duration," Labour Economics, Elsevier, vol. 21(C), pages 122-133.
    3. Stefanie Behncke & Markus Frölich & Michael Lechner, 2009. "Targeting Labour Market Programmes - Results from a Randomized Experiment," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 145(III), pages 221-268, September.
    4. Torben Andersen & Michael Svarer, 2008. "Flexicurity in Denmark," ifo DICE Report, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 6(4), pages 15-20, December.
    5. Bas van der Klaauw & Sandra Vriend, 2015. "A Nonparametric Method for Predicting Survival Probabilities," Tinbergen Institute Discussion Papers 15-126/V, Tinbergen Institute.

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    More about this item

    Keywords

    heterogeneous effects; targeting; profiling; statistical treatment rules;
    All these keywords.

    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

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