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Estimating Local Welfare Generated by a Professional Sports Team: An Application to the Minnesota Vikings under Threat of Relocation

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Author Info

  • John R. Crooker

    ()
    (University of Central Missouri)

  • Aju J. Fenn

    ()
    (The Colorado College)

Abstract

The issue of public financing for a professional sports team is one that has seen vigorous debate in the state of Minnesota. This study offers the opportunity to examine the welfare contribution of the Minnesota Vikings to Minnesota households in the context of a credible threat to team relocation. We find the credibility of relocation is essential to providing unbiased estimates of welfare. This study utilizes contingent valuation methodology (CVM) and a random utility model (RUM) to analyze Minnesotans’ decision-making mechanisms for supporting a new stadium initiative. While previous studies have attempted to measure the welfare associated with a sports franchise, we develop and discuss bias that may be imparted to estimates when the researcher fails to calculate a choke price. Further, we develop an unbiased approach to identify welfare when respondents perceive a risk of losing the franchise. Our study suggests a 95% confidence interval on the welfare contribution of the Vikings to households in Minnesota is $435.4 million to $1,499.1 million.

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File URL: http://faculty.ucmo.edu/econfinpapers/wpaper/wp0805.pdf
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Bibliographic Info

Paper provided by University of Central Missouri, Department of Economics & Finance in its series Working Papers with number 0805.

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Length: 48 pages
Date of creation: May 2008
Date of revision: May 2008
Handle: RePEc:umn:wpaper:0805

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Web page: http://www.ucmo.edu/econ
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Related research

Keywords: Stadium Costs; Sports Economics; Contingent Valuation; Random Utility Model;

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  3. T.A. Cameron & D.D. Huppert, 1988. ""Referendum" Contingent Valuation Estimates: Sensitivity to the Assignment of Offered Values," UCLA Economics Working Papers 519, UCLA Department of Economics.
  4. Barbara J. Kanninen, 1993. "Optimal Experimental Design for Double-Bounded Dichotomous Choice Contingent Valuation," Land Economics, University of Wisconsin Press, vol. 69(2), pages 138-146.
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  6. John J. Siegfried & Andrew Zimbalist, 2000. "The Economics of Sports Facilities and Their Communities," Journal of Economic Perspectives, American Economic Association, vol. 14(3), pages 95-114, Summer.
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  12. Cameron, Trudy Ann, 1988. "A new paradigm for valuing non-market goods using referendum data: Maximum likelihood estimation by censored logistic regression," Journal of Environmental Economics and Management, Elsevier, vol. 15(3), pages 355-379, September.
  13. Nyquist, Hans, 1992. "Optimal Designs of Discrete Response Experiments in Contingent Valuation Studies," The Review of Economics and Statistics, MIT Press, vol. 74(3), pages 559-63, August.
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  15. Laura O. Taylor & Ronald G. Cummings, 1999. "Unbiased Value Estimates for Environmental Goods: A Cheap Talk Design for the Contingent Valuation Method," American Economic Review, American Economic Association, vol. 89(3), pages 649-665, June.
  16. Kahneman, Daniel & Knetsch, Jack L., 1992. "Valuing public goods: The purchase of moral satisfaction," Journal of Environmental Economics and Management, Elsevier, vol. 22(1), pages 57-70, January.
  17. Cooper Joseph C., 1993. "Optimal Bid Selection for Dichotomous Choice Contingent Valuation Surveys," Journal of Environmental Economics and Management, Elsevier, vol. 24(1), pages 25-40, January.
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