[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/a/hpe/journl/y2006v179i4p79-111.html
   My bibliography  Save this article

Employment promotion measures and the quality of the job match for persons with disabilities

Author

Listed:
  • Miguel Angel Malo

    (Universidad de Salamanca)

  • Fernando Muñoz-Bullón

    (Universidad Carlos III)

Abstract
We evaluate the influence that employment promotion measures and labour market intermediation services addressed to disabled individuals have on the latter’s quality of the job match through the use of matching analysis techniques. Our focus is placed on two aspects of quality: the type of contract held (either permanent or temporary) and whether or not the individual is searching for another job. We find that those measures do not improve the quality of the job match. Implications for labour market policy are discussed.

Suggested Citation

  • Miguel Angel Malo & Fernando Muñoz-Bullón, 2006. "Employment promotion measures and the quality of the job match for persons with disabilities," Hacienda Pública Española / Review of Public Economics, IEF, vol. 179(4), pages 79-111, September.
    • Handle: RePEc:hpe:journl:y:2006:v:179:i:4:p:79-111
    as

    Download full text from publisher

    File URL: https://www.ief.es/comun/Descarga.cshtml?ruta=~/docs/destacados/publicaciones/revistas/hpe/179_Art4.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. LaLonde, Robert J, 1986. "Evaluating the Econometric Evaluations of Training Programs with Experimental Data," American Economic Review, American Economic Association, vol. 76(4), pages 604-620, September.
    2. A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353.
    3. Richard Blundell & Monica Costa Dias, 2000. "Evaluation methods for non-experimental data," Fiscal Studies, Institute for Fiscal Studies, vol. 21(4), pages 427-468, January.
    4. Bound, John & Burkhauser, Richard V., 1999. "Economic analysis of transfer programs targeted on people with disabilities," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 51, pages 3417-3528, Elsevier.
    5. Jovanovic, Boyan, 1979. "Job Matching and the Theory of Turnover," Journal of Political Economy, University of Chicago Press, vol. 87(5), pages 972-990, October.
    6. James J. Heckman & Jeffrey A. Smith, 1995. "Assessing the Case for Social Experiments," Journal of Economic Perspectives, American Economic Association, vol. 9(2), pages 85-110, Spring.
    7. Bryson, Alex & Dorsett, Richard & Purdon, Susan, 2002. "The use of propensity score matching in the evaluation of active labour market policies," LSE Research Online Documents on Economics 4993, London School of Economics and Political Science, LSE Library.
    8. Richard Blundell & Lorraine Dearden & Barbara Sianesi, 2003. "Evaluating the impact of education on earnings in the UK: Models, methods and results from the NCDS," IFS Working Papers W03/20, Institute for Fiscal Studies.
    9. Kidd, Michael P. & Sloane, Peter J. & Ferko, Ivan, 2000. "Disability and the labour market: an analysis of British males," Journal of Health Economics, Elsevier, vol. 19(6), pages 961-981, November.
    10. James Heckman & Hidehiko Ichimura & Jeffrey Smith & Petra Todd, 1998. "Characterizing Selection Bias Using Experimental Data," Econometrica, Econometric Society, vol. 66(5), pages 1017-1098, September.
    11. Hugo Benítez-Silva & Moshe Buchinsky & Hiu Man Chan & Sofia Cheidvasser & John Rust, 2004. "How large is the bias in self-reported disability?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(6), pages 649-670.
    12. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    13. repec:eee:labchp:v:3:y:1999:i:pc:p:3417-3528 is not listed on IDEAS
    14. Jeffrey Smith, 2000. "A Critical Survey of Empirical Methods for Evaluating Active Labor Market Policies," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 136(III), pages 247-268, September.
    15. Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity Score-Matching Methods For Nonexperimental Causal Studies," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 151-161, February.
    16. repec:mpr:mprres:3090 is not listed on IDEAS
    17. Aakvik, Arild & Heckman, James J. & Vytlacil, Edward J., 2005. "Estimating treatment effects for discrete outcomes when responses to treatment vary: an application to Norwegian vocational rehabilitation programs," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 15-51.
    18. James J. Heckman & Jeffrey A. Smith, 1999. "The Pre-Program Earnings Dip and the Determinants of Participation in a Social Program: Implications for Simple Program Evaluation Strategies," NBER Working Papers 6983, National Bureau of Economic Research, Inc.
    19. Roberto Agodini & Mark Dynarski, "undated". "Are Experiments the Only Option? A Look at Dropout Prevention Programs," Mathematica Policy Research Reports 51241adbf9fa4a26add6d54c5, Mathematica Policy Research.
    20. Heckman, James J. & Lalonde, Robert J. & Smith, Jeffrey A., 1999. "The economics and econometrics of active labor market programs," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 31, pages 1865-2097, Elsevier.
    21. Guido W. Imbens, 2004. "Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 4-29, February.
    22. James J. Heckman, 1995. "Instrumental Variables: A Cautionary Tale," NBER Technical Working Papers 0185, National Bureau of Economic Research, Inc.
    23. Zhong Zhao, 2004. "Using Matching to Estimate Treatment Effects: Data Requirements, Matching Metrics, and Monte Carlo Evidence," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 91-107, February.
    24. Gary Burtless, 1995. "The Case for Randomized Field Trials in Economic and Policy Research," Journal of Economic Perspectives, American Economic Association, vol. 9(2), pages 63-84, Spring.
    25. Sascha O. Becker & Andrea Ichino, 2002. "Estimation of average treatment effects based on propensity scores," Stata Journal, StataCorp LP, vol. 2(4), pages 358-377, November.
    26. Heckman, James J & Smith, Jeffrey A, 1999. "The Pre-programme Earnings Dip and the Determinants of Participation in a Social Programme. Implications for Simple Programme Evaluation Strategies," Economic Journal, Royal Economic Society, vol. 109(457), pages 313-348, July.
    27. Alberto Abadie & Guido W. Imbens, 2002. "Simple and Bias-Corrected Matching Estimators for Average Treatment Effects," NBER Technical Working Papers 0283, National Bureau of Economic Research, Inc.
    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. Vall Castello, Judit, 2012. "Promoting employment of disabled women in Spain; Evaluating a policy," Labour Economics, Elsevier, vol. 19(1), pages 82-91.
    2. Cámara Angeles & Martínez Mª Isabel & Santero-Sánchez Rosa, 2020. "Macroeconomic cost of excluding persons with disabilities from the workforce in Spain," IZA Journal of Labor Policy, Sciendo & Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 10(1), pages 1-21, March.
    3. Giuliana Parodi & Dario Sciulli, 2012. "Disability and low income persistence in Italian households," International Journal of Manpower, Emerald Group Publishing Limited, vol. 33(1), pages 9-26, March.
    4. Massimiliano Agovino & Antonio Garofalo & Katia Marchesano, 2018. "The effects of employment promotion measures on labour market participation of disabled people: the case of Italy," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(1), pages 135-155, January.
    5. Miguel à . Malo & Vanesa Rodríguez, 2022. "Sheltered Employment for People with Disabilities: An International Appraisal with Illustrations from The Spanish Case," Rivista Internazionale di Scienze Sociali, Vita e Pensiero, Pubblicazioni dell'Universita' Cattolica del Sacro Cuore, vol. 130(2), pages 125-144.
    6. Rodríguez Álvarez, Vanesa, 2012. "El empleo de las personas con discapacidad en la gran recesión: ¿son los Centros Especiales de Empleo una excepción?/The employment of people with disabilities in the great recession: are the Sheltere," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 30, pages 237-260, Abril.

    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. Malo, Miguel A., 2005. "Job matching quality effects of employment promotion measures for people with disabilities," DEE - Working Papers. Business Economics. WB wb055315, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
    2. Dettmann, E. & Becker, C. & Schmeißer, C., 2011. "Distance functions for matching in small samples," Computational Statistics & Data Analysis, Elsevier, vol. 55(5), pages 1942-1960, May.
    3. Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, February.
    4. Bryson, Alex & Dorsett, Richard & Purdon, Susan, 2002. "The use of propensity score matching in the evaluation of active labour market policies," LSE Research Online Documents on Economics 4993, London School of Economics and Political Science, LSE Library.
    5. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    6. Peter R. Mueser & Kenneth R. Troske & Alexey Gorislavsky, 2007. "Using State Administrative Data to Measure Program Performance," The Review of Economics and Statistics, MIT Press, vol. 89(4), pages 761-783, November.
    7. Richard Blundell & Monica Costa Dias, 2009. "Alternative Approaches to Evaluation in Empirical Microeconomics," Journal of Human Resources, University of Wisconsin Press, vol. 44(3).
    8. Lechner, Michael & Wunsch, Conny, 2013. "Sensitivity of matching-based program evaluations to the availability of control variables," Labour Economics, Elsevier, vol. 21(C), pages 111-121.
    9. Jones A.M & Rice N, 2009. "Econometric Evaluation of Health Policies," Health, Econometrics and Data Group (HEDG) Working Papers 09/09, HEDG, c/o Department of Economics, University of York.
    10. Justine Burns & Malcolm Kewsell & Rebecca Thornton, 2009. "Evaluating the Impact of Health Programmes," SALDRU Working Papers 40, Southern Africa Labour and Development Research Unit, University of Cape Town.
    11. A. Smith, Jeffrey & E. Todd, Petra, 2005. "Does matching overcome LaLonde's critique of nonexperimental estimators?," Journal of Econometrics, Elsevier, vol. 125(1-2), pages 305-353.
    12. Caliendo, Marco & Mahlstedt, Robert & Mitnik, Oscar A., 2017. "Unobservable, but unimportant? The relevance of usually unobserved variables for the evaluation of labor market policies," Labour Economics, Elsevier, vol. 46(C), pages 14-25.
    13. Liane Faltermeier & Awudu Abdulai, 2009. "The impact of water conservation and intensification technologies: empirical evidence for rice farmers in Ghana," Agricultural Economics, International Association of Agricultural Economists, vol. 40(3), pages 365-379, May.
    14. Hagen, Tobias, 2016. "Econometric evaluation of a placement coaching program for recipients of disability insurance benefits in Switzerland," Working Paper Series 10, Frankfurt University of Applied Sciences, Faculty of Business and Law.
    15. Gueorgui Kambourov & Iourii Manovskii & Miana Plesca, 2020. "Occupational mobility and the returns to training," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 53(1), pages 174-211, February.
    16. Bruno Arpino & Arnstein Aassve, 2013. "Estimating the causal effect of fertility on economic wellbeing: data requirements, identifying assumptions and estimation methods," Empirical Economics, Springer, vol. 44(1), pages 355-385, February.
    17. Hagen, Tobias, 2016. "Econometric Evaluation of a Placement Coaching Program for Recipients of Disability Insurance Benefits in Switzerland," VfS Annual Conference 2016 (Augsburg): Demographic Change 145736, Verein für Socialpolitik / German Economic Association.
    18. Flores-Lagunes, Alfonso & Gonzalez, Arturo & Neumann, Todd C., 2005. "Learning but Not Earning? The Value of Job Corps Training for Hispanic Youths," IZA Discussion Papers 1638, Institute of Labor Economics (IZA).
    19. Luis Aranda, 2013. "Doubling Up: A Gift or a Shame? Multigenerational Households and Parental Depression of Older Europeans," Working Papers 2013:29, Department of Economics, University of Venice "Ca' Foscari", revised 2013.
    20. Ravallion, Martin, 2008. "Evaluating Anti-Poverty Programs," Handbook of Development Economics, in: T. Paul Schultz & John A. Strauss (ed.), Handbook of Development Economics, edition 1, volume 4, chapter 59, pages 3787-3846, Elsevier.

    More about this item

    Keywords

    Disability; job matching; employment promotion; evaluation; matching analysis; permanent contract; job-to-job search.;
    All these keywords.

    JEL classification:

    • J48 - Labor and Demographic Economics - - Particular Labor Markets - - - Particular Labor Markets; Public Policy
    • J40 - Labor and Demographic Economics - - Particular Labor Markets - - - General
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior

    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:hpe:journl:y:2006:v:179:i:4:p:79-111. 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: Miguel Gómez de Antonio (email available below). General contact details of provider: https://edirc.repec.org/data/iefgves.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.