IDEAS home Printed from https://ideas.repec.org/p/mpr/mprres/bcacf7439f25478da771aa1423b7e68a.html
   My bibliography  Save this paper

The Effect of Vocational Rehabilitation on the Employment Outcomes of Disability Insurance Beneficiaries: New Evidence from Canada

Author

Listed:
  • Michele Campolieti
  • Morley K.L. Gunderson
  • Jeffrey A. Smith

Abstract

We estimate the effects of the vocational rehabilitation (VR) program run by the Canada Pension Plan Disability Program using administrative data.

Suggested Citation

  • Michele Campolieti & Morley K.L. Gunderson & Jeffrey A. Smith, "undated". "The Effect of Vocational Rehabilitation on the Employment Outcomes of Disability Insurance Beneficiaries: New Evidence from Canada," Mathematica Policy Research Reports bcacf7439f25478da771aa142, Mathematica Policy Research.
    • Handle: RePEc:mpr:mprres:bcacf7439f25478da771aa1423b7e68a
    as

    Download full text from publisher

    File URL: http://www.izajolp.com/content/3/1/10/abstract
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. David Wittenburg & David R. Mann & Allison Thompkins, "undated". "The Disability System and Programs to Promote Employment for People with Disabilities (Journal Article)," Mathematica Policy Research Reports cb8eb3bf612a406ba23bf1390, Mathematica Policy Research.
    2. Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2009. "Dealing with limited overlap in estimation of average treatment effects," Biometrika, Biometrika Trust, vol. 96(1), pages 187-199.
    3. 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.
    4. Andrea Ichino & Fabrizia Mealli & Tommaso Nannicini, 2008. "From temporary help jobs to permanent employment: what can we learn from matching estimators and their sensitivity?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(3), pages 305-327.
    5. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 605-654.
    6. Bruce Meyer & Wallace K. C. Mok, 2016. "Disability, Earnings, Income and Consumption," NBER Chapters, in: Social Insurance Programs (Trans-Atlantic Public Economics Seminar, TAPES), National Bureau of Economic Research, Inc.
    7. Black, Dan A. & Smith, J.A.Jeffrey A., 2004. "How robust is the evidence on the effects of college quality? Evidence from matching," Journal of Econometrics, Elsevier, vol. 121(1-2), pages 99-124.
    8. Tommaso Nannicini, 2007. "Simulation-based sensitivity analysis for matching estimators," Stata Journal, StataCorp LP, vol. 7(3), pages 334-350, September.
    9. Carolyn Heinrich & Peter Mueser & Kenneth Troske & Kyung-Seong Jeon & Daver Kahvecioglu, 2013. "Do Public Employment and Training Programs Work?," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 2(1), pages 1-23, December.
    10. Currie, Janet & Madrian, Brigitte C., 1999. "Health, health insurance and the labor market," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 50, pages 3309-3416, Elsevier.
    11. Busso, Matias & DiNardo, John & McCrary, Justin, 2009. "New Evidence on the Finite Sample Properties of Propensity Score Matching and Reweighting Estimators," IZA Discussion Papers 3998, Institute of Labor Economics (IZA).
    12. Grossman, Michael, 1972. "On the Concept of Health Capital and the Demand for Health," Journal of Political Economy, University of Chicago Press, vol. 80(2), pages 223-255, March-Apr.
    13. Campolieti, Michele & Riddell, Chris, 2012. "Disability policy and the labor market: Evidence from a natural experiment in Canada, 1998–2006," Journal of Public Economics, Elsevier, vol. 96(3), pages 306-316.
    14. 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.
    15. Fredrik Andersson & Harry J. Holzer & Julia I. Lane & David Rosenblum & Jeffrey Smith, 2024. "Does Federally Funded Job Training Work? Nonexperimental Estimates of WIA Training Impacts Using Longitudinal Data on Workers and Firms," Journal of Human Resources, University of Wisconsin Press, vol. 59(4), pages 1244-1283.
    16. Jinyong Hahn, 1998. "On the Role of the Propensity Score in Efficient Semiparametric Estimation of Average Treatment Effects," Econometrica, Econometric Society, vol. 66(2), pages 315-332, March.
    17. Dolton, Peter & Smith, Jeffrey A., 2011. "The Impact of the UK New Deal for Lone Parents on Benefit Receipt," IZA Discussion Papers 5491, Institute of Labor Economics (IZA).
    18. Alexis Diamond & Jasjeet S. Sekhon, 2013. "Genetic Matching for Estimating Causal Effects: A General Multivariate Matching Method for Achieving Balance in Observational Studies," The Review of Economics and Statistics, MIT Press, vol. 95(3), pages 932-945, July.
    19. Wang-Sheng Lee, 2013. "Propensity score matching and variations on the balancing test," Empirical Economics, Springer, vol. 44(1), pages 47-80, February.
    20. Michele Campolieti, 2002. "Moral Hazard and Disability Insurance: On the Incidence of Hard-to-Diagnose Medical Conditions in the Canada/Quebec Pension Plan Disability Program," Canadian Public Policy, University of Toronto Press, vol. 28(3), pages 419-441, September.
    21. repec:mpr:mprres:7787 is not listed on IDEAS
    22. 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.
    23. David Wittenburg & David Mann & Allison Thompkins, 2013. "The disability system and programs to promote employment for people with disabilities," IZA Journal of Labor Policy, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 2(1), pages 1-25, December.
    24. Tommaso Nannicini, 2007. "A simulation-based sensitivity for matching estimators," United Kingdom Stata Users' Group Meetings 2007 15, Stata Users Group.
    25. Alberto Abadie & Guido W. Imbens, 2006. "Large Sample Properties of Matching Estimators for Average Treatment Effects," Econometrica, Econometric Society, vol. 74(1), pages 235-267, January.
    26. 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.
    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. Gina Livermore & David Wittenburg & David Neumark, 2014. "Finding alternatives to disability benefit receipt," IZA Journal of Labor Policy, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 3(1), pages 1-9, December.
    2. Michelle Yin & Garima Siwach & Dajun Lin, 2023. "Vocational Rehabilitation Services and Labor Market Outcomes for Transition‐Age Youth with Disabilities in Maine," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 42(1), pages 166-197, January.
    3. 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.
    4. Fang, Tony & Gunderson, Morley & Lee, Byron, 2021. "Can Older Workers Be Retrained? Canadian Evidence from Worker-Firm Linked Data," IZA Discussion Papers 14282, Institute of Labor Economics (IZA).
    5. Boodoo, Muhammad Umar, 2016. "Does mandatory CSR reporting regulation lead to improved Corporate Social Performance? Evidence from India," LSE Research Online Documents on Economics 67559, London School of Economics and Political Science, LSE Library.
    6. von Simson Kristine & Hardoy Inés, 2020. "Tackling disabilities in young age—Policies that work," IZA Journal of Labor Policy, Sciendo & Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 10(1), pages 1-27, March.
    7. De Graaf-Zijl, Marloes & Spijkerman, Marcel & Zwinkels, Wim, 2020. "Long-Term Effects of Individual Placement and Support Services for Disability Benefits Recipients with Severe Mental Illnesses," IZA Discussion Papers 13772, Institute of Labor Economics (IZA).
    8. 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.

    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. Carlos A. Flores & Oscar A. Mitnik, 2009. "Evaluating Nonexperimental Estimators for Multiple Treatments: Evidence from Experimental Data," Working Papers 2010-10, University of Miami, Department of Economics.
    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. 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.
    4. Gevrek, Z. Eylem & Seiberlich, Ruben R., 2014. "Semiparametric decomposition of the gender achievement gap: An application for Turkey," Labour Economics, Elsevier, vol. 31(C), pages 27-44.
    5. 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.
    6. Andrea Ichino & Fabrizia Mealli & Tommaso Nannicini, 2008. "From temporary help jobs to permanent employment: what can we learn from matching estimators and their sensitivity?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(3), pages 305-327.
    7. Caliendo, Marco & Künn, Steffen, 2011. "Start-up subsidies for the unemployed: Long-term evidence and effect heterogeneity," Journal of Public Economics, Elsevier, vol. 95(3), pages 311-331.
    8. Olivier Dagnelie & Philippe Lemay‐Boucher, 2012. "Rosca Participation in Benin: A Commitment Issue," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 74(2), pages 235-252, April.
    9. Tymon Słoczyński, 2015. "The Oaxaca–Blinder Unexplained Component as a Treatment Effects Estimator," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 77(4), pages 588-604, August.
    10. Tommaso Nannicini, 2007. "Simulation-based sensitivity analysis for matching estimators," Stata Journal, StataCorp LP, vol. 7(3), pages 334-350, September.
    11. Candon, David, 2018. "The effect of cancer on the labor supply of employed men over the age of 65," Economics & Human Biology, Elsevier, vol. 31(C), pages 184-199.
    12. Dettmann, Eva & Becker, Claudia & Schmeißer, Christian, 2010. "Is there a Superior Distance Function for Matching in Small Samples?," IWH Discussion Papers 3/2010, Halle Institute for Economic Research (IWH).
    13. Marco Caliendo & Steffen Künn, 2015. "Getting back into the labor market: the effects of start-up subsidies for unemployed females," Journal of Population Economics, Springer;European Society for Population Economics, vol. 28(4), pages 1005-1043, October.
    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. Advani, Arun & Sloczynski, Tymon, 2013. "Mostly Harmless Simulations? On the Internal Validity of Empirical Monte Carlo Studies," IZA Discussion Papers 7874, Institute of Labor Economics (IZA).
    16. Roberto ESPOSTI, 2014. "To match, not to match, how to match: Estimating the farm-level impact of the CAP-first pillar reform (or: How to Apply Treatment-Effect Econometrics when the Real World is;a Mess)," Working Papers 403, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    17. 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.
    18. Origo, Federica, 2009. "Flexible pay, firm performance and the role of unions. New evidence from Italy," Labour Economics, Elsevier, vol. 16(1), pages 64-78, January.
    19. Schilling, Brian J. & Attavanich, Witsanu & Jin, Yanhong, 2014. "Does Agritourism Enhance Farm Profitability?," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 39(1), pages 1-28, April.
    20. Schilling, Brian J. & Attavanich, Witsanu & Sullivan, Kevin P. & Marxen, Lucas J., 2014. "Measuring the effect of farmland preservation on farm profitability," MPRA Paper 100122, University Library of Munich, Germany, revised Jun 2014.

    More about this item

    Keywords

    Vocational rehabilitation; Disability; Evaluation; Matching;
    All these keywords.

    JEL classification:

    • I - Health, Education, and Welfare
    • J - Labor and Demographic Economics

    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:mpr:mprres:bcacf7439f25478da771aa1423b7e68a. 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: Joanne Pfleiderer or Cindy George (email available below). General contact details of provider: https://edirc.repec.org/data/mathius.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.