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The impact of new drug launches on the loss of labor from disease and injury: evidence from German panel data

Author

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  • Bui, Thi Mai Van
  • Stolpe, Michael

Abstract

This paper studies the evolution of early retirement due to disease and injury in the German labor force between 1988 and 2004. Using data from the German Federation of Public Pension Providers, the IMS Health Drug Launches database and the WHO Mortality Database, we show that new drug launches have substantially helped to reduce the loss of labor at the disease-level over time. We employ a variety of econometric methods to exploit the pseudo-panel structure of our dataset and find that in Western Germany alone each new chemical entity has on average saved around 200 working years in every year of the observation period. Controlling for individual determinants of health-related retirement, such as worker's age, sex and type of work, we also find evidence that the 2001 reform of pension laws has led to further reductions in the loss of labor from disease and injury.

Suggested Citation

  • Bui, Thi Mai Van & Stolpe, Michael, 2007. "The impact of new drug launches on the loss of labor from disease and injury: evidence from German panel data," Kiel Working Papers 1317, Kiel Institute for the World Economy (IfW).
  • Handle: RePEc:zbw:ifwkwp:1317
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    References listed on IDEAS

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    1. Tomas J. Philipson & Gary S. Becker, 1998. "Old-Age Longevity and Mortality-Contingent Claims," Journal of Political Economy, University of Chicago Press, vol. 106(3), pages 551-573, June.
    2. Frank R. Lichtenberg & Suchin Virabhak, 2007. "Pharmaceutical-embodied technical progress, longevity, and quality of life: drugs as 'Equipment for Your Health'," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 28(4-5), pages 371-392.
    3. Ahn, Seung C. & Schmidt, Peter, 1995. "Efficient estimation of models for dynamic panel data," Journal of Econometrics, Elsevier, vol. 68(1), pages 5-27, July.
    4. Kalwij, A.S. & Vermeulen, F.M.P., 2005. "Labour Force Participation of the Elderly in Europe : The Importance of Being Healthy," Other publications TiSEM c00729b8-27dc-42f8-9fba-0, Tilburg University, School of Economics and Management.
    5. Baltagi, Badi H., 1981. "Simultaneous equations with error components," Journal of Econometrics, Elsevier, vol. 17(2), pages 189-200, November.
    6. Frank Lichtenberg, 2005. "The Impact of New Drug Launches on Longevity: Evidence from Longitudinal, Disease-Level Data from 52 Countries, 1982–2001," International Journal of Health Economics and Management, Springer, vol. 5(1), pages 47-73, January.
    7. David M. Cutler & Mary Beth Landrum & Kate A. Stewart, 2009. "Intensive Medical Care and Cardiovascular Disease Disability Reductions," NBER Chapters, in: Health at Older Ages: The Causes and Consequences of Declining Disability among the Elderly, pages 191-222, National Bureau of Economic Research, Inc.
    8. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    9. Tomas J. Philipson & William H. Dow & Xavier Sala-i-Martin, 1999. "Longevity Complementarities under Competing Risks," American Economic Review, American Economic Association, vol. 89(5), pages 1358-1371, December.
    10. Rena M. Conti & Ernst R. Berndt & Richard G. Frank, 2006. "Early Retirement and Public Disability Insurance Applications: Exploring the Impact of Depression," NBER Working Papers 12237, National Bureau of Economic Research, Inc.
    11. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Oxford University Press, vol. 58(2), pages 277-297.
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    Cited by:

    1. Hostenkamp, Gisela & Stolpe, Michael, 2008. "Optimal health and retirement policies amid population aging," Kiel Working Papers 1428, Kiel Institute for the World Economy (IfW).

    More about this item

    Keywords

    Early retirement; Rehabilitation services; Pension reform; Pseudo-panel data; Medical technology;

    JEL classification:

    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • J26 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Retirement; Retirement Policies
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior

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