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Calculating upper and lower probability bounds on the outcomes of large entry games

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  • Cohen, Andrew

Abstract

Recently developed econometric techniques for estimating the parameters of entry games with multiple equilibria suffer significant computational constraints associated with calculating upper and lower bound entry probabilities. We provide simulation-based and analytical expressions for these probabilities, reducing this computational burden.

Suggested Citation

  • Cohen, Andrew, 2010. "Calculating upper and lower probability bounds on the outcomes of large entry games," Economics Letters, Elsevier, vol. 107(3), pages 324-326, June.
  • Handle: RePEc:eee:ecolet:v:107:y:2010:i:3:p:324-326
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    References listed on IDEAS

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    1. Federico Ciliberto & Elie Tamer, 2009. "Market Structure and Multiple Equilibria in Airline Markets," Econometrica, Econometric Society, vol. 77(6), pages 1791-1828, November.
    2. Berry, Steven T, 1992. "Estimation of a Model of Entry in the Airline Industry," Econometrica, Econometric Society, vol. 60(4), pages 889-917, July.
    3. Davis, Peter, 2006. "Estimation of quantity games in the presence of indivisibilities and heterogeneous firms," Journal of Econometrics, Elsevier, vol. 134(1), pages 187-214, September.
    4. Elie Tamer, 2003. "Incomplete Simultaneous Discrete Response Model with Multiple Equilibria," Review of Economic Studies, Oxford University Press, vol. 70(1), pages 147-165.
    5. Bresnahan, Timothy F. & Reiss, Peter C., 1991. "Empirical models of discrete games," Journal of Econometrics, Elsevier, vol. 48(1-2), pages 57-81.
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