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Long-term Labour Market Performance of Whiplash Claimants

Author

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  • Søren Leth-Petersen

    (Department of Economics, University of Copenhagen)

  • Gabriel Pons Rotger

    (AKF, Danish Institute of Governmental Research)

Abstract

A whiplash is a sudden acceleration-deceleration of the neck and head, typically associated with a rear-end car collision that may produce injuries in the soft tissue. Often there are no objective signs or symptoms of injury, and diagnosing lasting whiplash associated disorders (WAD) is difficult, in particular for individuals with mild or moderate injuries. This leaves a scope for compensation-seeking behaviour. The medical literature disagrees on the importance of this explanation. In this paper we trace the long-term earnings of a group of Danish individuals with mild to moderate injuries claiming compensation for having permanently lost earnings capacity and investigate if they return to their full pre-whiplash earnings when the insurance claim has been assessed. We find that about half of the claimants, those not granted compensation, return to an earnings level comparable with their pre-whiplash earnings suggesting that these individuals do not have chronic WAD in the sense that their earnings capacity is reduced. The other half, those granted compensation, experience persistent reductions in earnings relative to the case where they had not been exposed to a whiplash, even when they have a strong financial incentive to not reduce earnings. This suggests that moderate injuries tend to be chronic, and that compensation-seeking behaviour is not the main explanation for this group. We find that claimants with chronic WADs used more health care in the year prior to the whiplash than claimants with non-chronic cases. This suggests that lower initial health capital increases the risk that a whiplash causes persistent WAD.

Suggested Citation

  • Søren Leth-Petersen & Gabriel Pons Rotger, 2008. "Long-term Labour Market Performance of Whiplash Claimants," CAM Working Papers 2008-01, University of Copenhagen. Department of Economics. Centre for Applied Microeconometrics.
  • Handle: RePEc:kud:kuieca:2008_01
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    References listed on IDEAS

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    1. Sergio Firpo, 2007. "Efficient Semiparametric Estimation of Quantile Treatment Effects," Econometrica, Econometric Society, vol. 75(1), pages 259-276, January.
    2. 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.
    3. James J. Heckman & Edward Vytlacil, 2005. "Structural Equations, Treatment Effects, and Econometric Policy Evaluation," Econometrica, Econometric Society, vol. 73(3), pages 669-738, May.
    4. Keisuke Hirano & Guido W. Imbens & Geert Ridder, 2003. "Efficient Estimation of Average Treatment Effects Using the Estimated Propensity Score," Econometrica, Econometric Society, vol. 71(4), pages 1161-1189, July.
    5. 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.
    6. James Heckman & Salvador Navarro-Lozano, 2004. "Using Matching, Instrumental Variables, and Control Functions to Estimate Economic Choice Models," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 30-57, February.
    7. 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.
    8. Denis Bolduc & Bernard Fortin & France Labrecque & DPaul Lanoie, 2002. "Workers' Compensation, Moral Hazard and the Composition of Workplace Injuries," Journal of Human Resources, University of Wisconsin Press, vol. 37(3), pages 623-652.
    9. 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.
    10. 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.
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    Cited by:

    1. Taweewat Wiangkham & Joan Duda & Sayeed Haque & Mohammad Madi & Alison Rushton, 2015. "The Effectiveness of Conservative Management for Acute Whiplash Associated Disorder (WAD) II: A Systematic Review and Meta-Analysis of Randomised Controlled Trials," PLOS ONE, Public Library of Science, vol. 10(7), pages 1-22, July.
    2. Hummels, David & Munch, Jakob & Xiang, Chong, 2015. "No Pain, No Gain: The Effects of Exports on Job Injury and Sickness," 2015: Trade and Societal Well-Being, December 13-15, 2015, Clearwater Beach, Florida 229253, International Agricultural Trade Research Consortium.
    3. Taweewat Wiangkham & Joan Duda & M Sayeed Haque & Jonathan Price & Alison Rushton, 2019. "A cluster randomised, double-blind pilot and feasibility trial of an active behavioural physiotherapy intervention for acute whiplash-associated disorder (WAD)II," PLOS ONE, Public Library of Science, vol. 14(5), pages 1-25, May.
    4. Elise M. Gane & Melanie L. Plinsinga & Charlotte L. Brakenridge & Esther J. Smits & Tammy Aplin & Venerina Johnston, 2021. "The Impact of Musculoskeletal Injuries Sustained in Road Traffic Crashes on Work-Related Outcomes: A Systematic Review," IJERPH, MDPI, vol. 18(21), pages 1-29, November.
    5. Tina Birgitte Wisbech Carstensen & Per Fink & Eva Oernboel & Helge Kasch & Troels Staehelin Jensen & Lisbeth Frostholm, 2015. "Sick Leave within 5 Years of Whiplash Trauma Predicts Recovery: A Prospective Cohort and Register-Based Study," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-18, June.
    6. A-La Park & Eui-Hyoung Hwang & Man-Suk Hwang & In Heo & Sun-Young Park & Jun-Hwan Lee & In-Hyuk Ha & Jae-Heung Cho & Byung-Cheul Shin, 2021. "Cost-Effectiveness of Chuna Manual Therapy and Usual Care, Compared with Usual Care Only for People with Neck Pain following Traffic Accidents: A Multicenter Randomized Controlled Trial," IJERPH, MDPI, vol. 18(19), pages 1-13, September.

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    More about this item

    Keywords

    dissolution; whiplash; register data; labour market;
    All these keywords.

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • J29 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Other

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