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Olympic Games: No legacy for sports

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  • Contreras, Jose L.
  • Corvalan, Alejandro

Abstract

Countries whose cities host the Summer Olympic Games increase significantly their success during the competition. We study whether such effect is lasting or not. We compute the effect of hosting on the total number of medals in the subsequent games. To confront the issue that the selection of the host city is endogenous, we use a natural counterfactual: countries whose cities also bid for the Olympics but were not selected by the International Olympic Committee. In all cases, we find that Olympic success on medals fades away immediately after hosting.

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File URL: http://www.sciencedirect.com/science/article/pii/S0165176513005454
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Bibliographic Info

Article provided by Elsevier in its journal Economics Letters.

Volume (Year): 122 (2014)
Issue (Month): 2 ()
Pages: 268-271

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Handle: RePEc:eee:ecolet:v:122:y:2014:i:2:p:268-271

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Web page: http://www.elsevier.com/locate/ecolet

Related research

Keywords: Olympic Games; Host; Sport success;

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References

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  1. Kiviet, Jan F., 1995. "On bias, inconsistency, and efficiency of various estimators in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 68(1), pages 53-78, July.
  2. Andrew B. Bernard & Meghan R. Busse, 2004. "Who Wins the Olympic Games: Economic Resources and Medal Totals," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 413-417, February.
  3. Benhabib, Jess & Corvalan, Alejandro & Spiegel, Mark M., 2013. "Income and democracy: Evidence from nonlinear estimations," Economics Letters, Elsevier, vol. 118(3), pages 489-492.
  4. Jeffrey M. Wooldridge, 2005. "Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(1), pages 39-54.
  5. Arellano, Manuel & Bond, Stephen, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Wiley Blackwell, vol. 58(2), pages 277-97, April.
  6. Alpaslan Akay, 2012. "Finite‐sample comparison of alternative methods for estimating dynamic panel data models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(7), pages 1189-1204, November.
  7. Bruno, Giovanni S.F., 2005. "Approximating the bias of the LSDV estimator for dynamic unbalanced panel data models," Economics Letters, Elsevier, vol. 87(3), pages 361-366, June.
  8. Vagenas, George & Vlachokyriakou, Eleni, 2012. "Olympic medals and demo-economic factors: Novel predictors, the ex-host effect, the exact role of team size, and the “population-GDP” model revisited," Sport Management Review, Elsevier, vol. 15(2), pages 211-217.
  9. Maurice J.G. Bun & Jan F. Kiviet, 2002. "On the Diminishing Returns of Higher-order Terms in Asymptotic Expansions of Bias," Tinbergen Institute Discussion Papers 02-099/4, Tinbergen Institute, revised 24 Oct 2002.
  10. Stephen B. Billings & J. Scott Holladay, 2012. "Should Cities Go For The Gold? The Long-Term Impacts Of Hosting The Olympics," Economic Inquiry, Western Economic Association International, vol. 50(3), pages 754-772, 07.
  11. Daniel K. N. Johnson & Ayfer Ali, 2004. "A Tale of Two Seasons: Participation and Medal Counts at the Summer and Winter Olympic Games," Social Science Quarterly, Southwestern Social Science Association, vol. 85(4), pages 974-993.
  12. Chamberlain, Gary, 1980. "Analysis of Covariance with Qualitative Data," Review of Economic Studies, Wiley Blackwell, vol. 47(1), pages 225-38, January.
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