Abstract
This paper estimates both single and multiple spell hazard models using a sample of workers' compensation claims (with soft tissue musculoskeletal injuries) from Ontario, Canada. Most of the results in this paper are consistent with the estimates in the existing literature. However, the duration elasticities for workers' compensation benefits and pre-injury earnings from the multiple spell hazard models are much larger than the estimates from the single spell models. This suggests that the estimates in existing literature that use single spell hazard models may underestimate the effect of benefits and pre-injury earnings on the duration of soft tissue musculoskeletal claims.
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References
Agency for Health Care Policy and Research. (1994). Acute Low Back Problems in Adults. Rockville, MD: U.S. Department of Health and Human Services.
Allenby, Greg M. and Peter E. Rossi. (1999). “Marketing Models of Consumer Heterogeneity,” Journal of Econometrics 89, 57–78.
Baker, Michael and Angelo Melino. (2000). “Duration Dependence and Nonparametric Heterogeneity: A Monte Carlo Study,” Journal of Econometrics 96, 357–393.
Baker, Michael and Samuel A. Rea Jr. (1998). “Employment Spells and Unemployment Insurance Eligibility Requirements,” Review of Economics and Statistics 80, 80–94.
Baltagi, Badi H. (1995). Econometric Analysis of Panel Data. Chichester: John Wiley & Sons Limited.
Borba, Philip S. and David Appel. (1987). “The Propensity of Permanently Disabled Workers to Hire Lawyers,” Industrial and Labor Relations Review 40, 418–429.
Burkhauser, Richard V., J. S. Butler, and Yang W. Kim. (1995). “The Importance of Employer Accommodations on the Job Duration of Workers with Disabilities: A Hazard Model Approach,” Labour Economics 2, 109–130.
Butler, Richard J. and John D. Worrall. (1985). “Work Injury Compensation and the Duration of Non-Work Spells,” Economic Journal 95, 714–724.
Butler, Richard J., William G. Johnson, and Marjorie L. Baldwin. (1995). “Managing Work Disability: Why First Return to Work is Not a Measure of Success,” Industrial and Labor Relations Review 48, 452–469.
Butler, Richard J., David L. Durbin, and Nurhan M. Helvacian. (1996). “Increasing Claims for Soft Tissue Injuries in Workers' Compensation: Cost Shifting and Moral Hazard,” Journal of Risk and Uncertainty 13, 73–87.
Dionne, Georges and Pierre St-Michel. (1991). “Workers' Compensation and Moral Hazard,” Review of Economics and Statistics 73, 236–244.
Fortin, Bernard and Paul Lanoie. (1999). “Effects of Workers' Compensation: A Survey.” In Georges Dionne (ed.), Handbook of Insurance. Boston: Kluwer Academic Publishers.
Frank, John and Andreas Maetzel. (2000). “Determining Occupational Disorder: Can This Camel Carry More Straw?” In Terry Sullivan (ed.), Injury and the New World of Work. Vancouver: University of British Columbia Press.
Gunderson, Morley and Douglas Hyatt. (1996). “Do Injured Workers Pay for Reasonable Accommodation?” Industrial and Labor Relations Review 50, 92–104.
Gunderson, Morley and Douglas Hyatt. (1998). “Some Benefit Considerations in Workers' Compensation,” Report prepared for the Royal Commission on Workers' Compensation in British Columbia.
Gunderson, Morley and Angelo Melino. (1990). “The Effects of Public Policy on Strike Durations,” Journal of Labor Economics 8, 295–316.
Gunderson, Morley, Douglas Hyatt, and David Law. (1995). “Reasonable Accommodation Requirements under Workers' Compensation in Ontario,” Relations Industriellesvindustrial Relations 50, 341–360.
Ham, John C. and Samuel A. Rea, Jr. (1987). “Unemployment Insurance and Male Unemployment in Canada,” Journal of Labor Economics 5, 325–353.
Han, Aaron and Jerry A. Hausman. (1990). “Flexible Parametric Estimation of Duration and Competing Risks Models,” Journal of Applied Econometrics 5, 1–28.
Heckman, James J. and Burton Singer. (1984a). “Econometric Duration Analysis,” Journal of Econometrics 24, 63–123.
Heckman, James J. and Burton Singer. (1984b). “A Method of Minimizing the Impact of Distributional Assumptions in Econometric Models for Duration Data,” Econometrica 52, 271–332.
Heckman, James J. and Robert J. Willis. (1977). “A Beta-Logistic Model for the Analysis of Sequential Labor Force Participation by Married Women,” Journal of Political Economy 85, 27–58.
Honore, Bo E. and Ekaterini Kyriazidou. (2000). “Panel Data Discrete Choice Models with Lagged Dependent Variables,” Econometrica 68, 839–874.
Hsiao, Cheng. (1986). Analysis of Panel Data. Cambridge, UK: Cambridge University Press.
Johnson, William G. and Jan Ondrich. (1990). “The Duration of Post-Injury Absences from Work,” Review of Economics and Statistics 72, 578–586.
Johnson, William G., Richard J. Butler, and Marjorie Baldwin. (1995). “First Spells of Work Absences Among Ontario Workers.” In Terry Thomason and Richard P. Chaykowski (eds.), Research in Canadian Workers Compensation. Kingston: IRC Press.
Johnson, William J., Richard J. Butler, and Marjorie Baldwin. (1998). “Back Pain and Work Disability: The Need for a New Paradigm,” Industrial Relations 37, 9–34.
Kiefer, Nicholas M. (1998). “Economic Duration Data and Hazard Functions,” Journal of Economic Literature 26, 646–679.
Lancaster, Tony. (1990). The Econometric Analysis of Translation Data. Cambridge, UK: Cambridge University Press.
Meyer, Bruce. (1990). “Unemployment Insurance and Unemployment Spells,” Econometrica 58, 757–782.
National Council on Compensation Insurance. (1992). “Workers' Compensation Back Claim Study.” Report of the National Council on Compensation Insurance.
Nickel, Stephen. (1979). “Estimating the Probability of Leaving Unemployment,” Econometrica 47, 1249–1266.
Worrall, John D. and Richard J. Butler. (1985). “Benefits and Claim Duration.” In John D. Worrall and David Appel (eds.), Workers' Compensation Benefits: Adequacy, Equity and Efficiency. Ithaca: Cornell University Press.
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Campolieti, M. Recurrence in Workers' Compensation Claims: Estimates from a Multiple Spell Hazard Model. Journal of Risk and Uncertainty 23, 75–94 (2001). https://doi.org/10.1023/A:1011116732430
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DOI: https://doi.org/10.1023/A:1011116732430