Labour market outcomes for people with a spinal cord injury
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.
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- Douglas Staiger & James H. Stock, 1994.
"Instrumental Variables Regression with Weak Instruments,"
NBER Technical Working Papers
0151, National Bureau of Economic Research, Inc.
- Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
- Alan Krueger & Douglas Kruse, 1995.
"Labor Market Effects of Spinal Cord Injuries in the Dawn of the Computer Age,"
NBER Working Papers
5302, National Bureau of Economic Research, Inc.
- 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..
- Heckman, James, 2013.
"Sample selection bias as a specification error,"
Publishing House "SINERGIA PRESS", vol. 31(3), pages 129-137.
- Dranove, David & Wehner, Paul, 1994. "Physician-induced demand for childbirths," Journal of Health Economics, Elsevier, vol. 13(1), pages 61-73, March.
- E. J. Working, 1927. "What Do Statistical "Demand Curves" Show?," The Quarterly Journal of Economics, Oxford University Press, vol. 41(2), pages 212-235.
- 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.
- 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.
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