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Research Note: Assessing Household Service Losses with Joint Survival Probabilities

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  • Robert A. Baade
  • Victor A. Matheson

Abstract

Traditional analyses of household service losses in personal injury and wrongful death litigation calculate the losses over the expected lifetime of the injured or deceased individual. In fact, the losses to the surviving family members are more accurately described by using joint survival probabilities of the injured or deceased person and their survivors, or a “joint life expectancy.” The use of joint probabilities will always serve to reduce expected household service losses and these reductions can be especially significant when the deceased is significantly younger than the surviving spouse or if the survivor has a relatively low remaining life expectancy.
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Suggested Citation

  • Robert A. Baade & Victor A. Matheson, 2008. "Research Note: Assessing Household Service Losses with Joint Survival Probabilities," Journal of Forensic Economics, National Association of Forensic Economics, vol. 20(2), pages 187-192, October.
  • Handle: RePEc:fek:papers:doi:10.5085/0898-5510-20.2.187
    DOI: 10.5085/0898-5510-20.2.187
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    1. Scott E. Atkinson & Linda R. Stanley & John Tschirhart, 1988. "Revenue Sharing as an Incentive in an Agency Problem: An example from the National Football League," RAND Journal of Economics, The RAND Corporation, vol. 19(1), pages 27-43, Spring.
    2. Scully, Gerald W, 1974. "Pay and Performance in Major League Baseball," American Economic Review, American Economic Association, vol. 64(6), pages 915-930, December.
    3. Simon Rottenberg, 1956. "The Baseball Players' Labor Market," Journal of Political Economy, University of Chicago Press, vol. 64, pages 242-242.
    4. Stefan Szymanski, 2010. "The Economic Design of Sporting Contests," Palgrave Macmillan Books, in: The Comparative Economics of Sport, chapter 1, pages 1-78, Palgrave Macmillan.
    5. David J. Berri, 1999. "Who is 'most valuable'? Measuring the player's production of wins in the National Basketball Association," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 20(8), pages 411-427.
    6. Zak, Thomas A & Huang, Cliff J & Siegfried, John J, 1979. "Production Efficiency: The Case of Professional Basketball," The Journal of Business, University of Chicago Press, vol. 52(3), pages 379-392, July.
    7. Rodney Fort & James Quirk, 1995. "Cross-subsidization, Incentives, and Outcomes in Professional Team Sports Leagues," Journal of Economic Literature, American Economic Association, vol. 33(3), pages 1265-1299, September.
    8. Grier, Kevin B & Tollison, Robert D, 1990. "Arbitrage in a Basketball Economy," Kyklos, Wiley Blackwell, vol. 43(4), pages 611-624.
    9. KimMarie McGoldrick & Lisa Voeks, 2005. "“We Got Game!â€," Journal of Sports Economics, , vol. 6(1), pages 5-23, February.
    10. Berri, David J. & Schmidt, Martin B., 2002. "Instrumental versus bounded rationality: a comparison of Major League Baseball and the National Basketball Association," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 31(3), pages 191-214.
    11. Hofler, Richard A. & Payne, James E., 1997. "Measuring efficiency in the National Basketball Association1," Economics Letters, Elsevier, vol. 55(2), pages 293-299, August.
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    • K13 - Law and Economics - - Basic Areas of Law - - - Tort Law and Product Liability; Forensic Economics

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