IDEAS home Printed from https://ideas.repec.org/a/eee/ehbiol/v8y2010i2p223-232.html
   My bibliography  Save this article

Labour market outcomes for people with a spinal cord injury

Author

Listed:
  • Rowell, David
  • Connelly, Luke

Abstract

The consequences of spinal cord injury are profound and extend well beyond the immediate loss of mobility and sensation. Employment is a well-recognised rehabilitation goal. In this study, we examine the impact of a publicly funded "package" of services that is designed to enable people with a spinal cord injury to return to the workplace. Specifically, this package of services provided client directed assistance for assisting the recipient with the activities of daily living (e.g., bathing, food preparation, etc.). We combine primary data collection methods well developed in other scientific disciplines, but less frequently utilised within economics, with traditional econometric techniques, to present a novel approach to this methodological issue. The Spinal Injuries Survey Instrument was developed and administered using a matched sampling approach. Collected data included, labour market outcomes, exposure to the packages, as well as clinical and demographic covariates commonly identified by the spinal cord injury literature. Concern for endogeneity was addressed by collecting data on several variables that might serve as suitable instruments for the econometric work and measures of otherwise-unobserved sources of heterogeneity. For example, a psychological measure of "attributional style was adapted from the field of psychology in order to control for a potentially confounding source of latent individual heterogeneity, viz. "motivation". While our results find zero marginal effect of support packages on labour market outcomes, we find that training undertaken post-injury and age are both positively correlated with labour market participation.

Suggested Citation

  • Rowell, David & Connelly, Luke, 2010. "Labour market outcomes for people with a spinal cord injury," Economics & Human Biology, Elsevier, vol. 8(2), pages 223-232, July.
  • Handle: RePEc:eee:ehbiol:v:8:y:2010:i:2:p:223-232
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1570-677X(10)00028-6
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Alan B. Krueger & Douglas Kruse, 1995. "Labor Market Effects of Spinal Cord Injuries in the Dawn of the Computer Age," Working Papers 728, Princeton University, Department of Economics, Industrial Relations Section..
    2. Alan Krueger & Douglas Kruse, 1995. "Labor Market Effects of Spinal Cord Injuries in the Dawn of the Computer Age," Working Papers 728, Princeton University, Department of Economics, Industrial Relations Section..
    3. E. J. Working, 1927. "What Do Statistical "Demand Curves" Show?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 41(2), pages 212-235.
    4. Laura Greene Knapp & Terry Seaks, 1998. "A Hausman test for a dummy variable in probit," Applied Economics Letters, Taylor & Francis Journals, vol. 5(5), pages 321-323.
    5. H. Shelton Brown & José A. Pagán & Elena Bastida, 2005. "The impact of diabetes on employment: genetic IVs in a bivariate probit," Health Economics, John Wiley & Sons, Ltd., vol. 14(5), pages 537-544, May.
    6. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    7. Dranove, David & Wehner, Paul, 1994. "Physician-induced demand for childbirths," Journal of Health Economics, Elsevier, vol. 13(1), pages 61-73, March.
    8. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
    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. Brady, Gerard, 2013. "Network social capital and labour market outcomes Evidence from Ireland," MPRA Paper 47391, University Library of Munich, Germany.
    2. Gerard Brady, 2015. "Network Social Capital and Labour Market Outcomes: Evidence For Ireland," The Economic and Social Review, Economic and Social Studies, vol. 46(2), pages 163-195.

    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. Seuring, Till & Goryakin, Yevgeniy & Suhrcke, Marc, 2015. "The impact of diabetes on employment in Mexico," Economics & Human Biology, Elsevier, vol. 18(C), pages 85-100.
    2. Costa Storti, Cláudia & Grauwe, Paul & Sabadash, Anna & Montanari, Linda, 2011. "Unemployment and drug treatment," MPRA Paper 61799, University Library of Munich, Germany.
    3. McCausland, David & Pouliakas, Konstantinos & Theodossiou, Ioannis, 2005. "Some are Punished and Some are Rewarded: A Study of the Impact of Performance Pay on Job Satisfaction," MPRA Paper 14243, University Library of Munich, Germany.
    4. Alan B. Krueger & Douglas Kruse, 1995. "Labor Market Effects of Spinal Cord Injuries in the Dawn of the Computer Age," Working Papers 728, Princeton University, Department of Economics, Industrial Relations Section..
    5. Hu, Juncheng, 2021. "Do facilitation payments affect earnings management? Evidence from China," Journal of Corporate Finance, Elsevier, vol. 68(C).
    6. Daron Acemoglu & Joshua D. Angrist, 2001. "Consequences of Employment Protection? The Case of the Americans with Disabilities Act," Journal of Political Economy, University of Chicago Press, vol. 109(5), pages 915-957, October.
    7. Hugo Benítez-Silva & Debra Dwyer & Wayne-Roy Gayle & Thomas Muench, 2008. "Expectations in micro data: rationality revisited," Empirical Economics, Springer, vol. 34(2), pages 381-416, March.
    8. Arthur Charpentier & Emmanuel Flachaire & Antoine Ly, 2017. "Econom\'etrie et Machine Learning," Papers 1708.06992, arXiv.org, revised Mar 2018.
    9. Uwaifo Oyelere, Ruth, 2010. "Africa's education enigma? The Nigerian story," Journal of Development Economics, Elsevier, vol. 91(1), pages 128-139, January.
    10. Benitez-Silva, Hugo & Dwyer, Debra S., 2006. "Expectation formation of older married couples and the rational expectations hypothesis," Labour Economics, Elsevier, vol. 13(2), pages 191-218, April.
    11. Ariane Pailhé & Anne Solaz, 2019. "Is there a wage cost for employees in family‐friendly workplaces? The effect of different employer policies," Gender, Work and Organization, Wiley Blackwell, vol. 26(5), pages 688-721, June.
    12. Dinh, Tami & Schultze, Wolfgang, 2022. "Accounting for R&D on the income statement? Evidence on non-discretionary vs. discretionary R&D capitalization under IFRS in Germany," Journal of International Accounting, Auditing and Taxation, Elsevier, vol. 46(C).
    13. Guilhem Bascle, 2008. "Controlling for endogeneity with instrumental variables in strategic management research," Post-Print hal-00576795, HAL.
    14. Richard A. Hunt & Mathew L. A. Hayward, 2018. "Value Creation Through Employer Loans: Evidence of Informal Lending to Employees at Small, Labor-Intensive Firms," Organization Science, INFORMS, vol. 29(2), pages 284-303, April.
    15. Filiz Garip, 2012. "An Integrated Analysis of Migration and Remittances: Modeling Migration as a Mechanism for Selection," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 31(5), pages 637-663, October.
    16. Benítez-Silva, Hugo & Eren, Selçuk & Heiland, Frank & Jiménez-Martín, Sergi, 2015. "How well do individuals predict the selling prices of their homes?," Journal of Housing Economics, Elsevier, vol. 29(C), pages 12-25.
    17. Dossè Mawussi DJAHINI-AFAWOUBO, 2023. "Niveau d’éducation et probabilité d’être employé dans le secteur informel au Togo," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 57, pages 29-48.
    18. Gabriel Jiménez & Steven Ongena & José‐Luis Peydró & Jesús Saurina, 2014. "Hazardous Times for Monetary Policy: What Do Twenty‐Three Million Bank Loans Say About the Effects of Monetary Policy on Credit Risk‐Taking?," Econometrica, Econometric Society, vol. 82(2), pages 463-505, March.
    19. Jean-Marie Dufour, 2003. "Identification, weak instruments, and statistical inference in econometrics," Canadian Journal of Economics, Canadian Economics Association, vol. 36(4), pages 767-808, November.
    20. Mingfeng Lin & Nagpurnanand R. Prabhala & Siva Viswanathan, 2013. "Judging Borrowers by the Company They Keep: Friendship Networks and Information Asymmetry in Online Peer-to-Peer Lending," Management Science, INFORMS, vol. 59(1), pages 17-35, August.

    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:eee:ehbiol:v:8:y:2010:i:2:p:223-232. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/622964 .

    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.