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Testing Game-Theoretic Models of Price Fixing Behaviour

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  • V A Hajivassiliou

Abstract

This paper analyses price fixing by the Joint Executive Committee railroad cartel from 1880 to 1886 and develops tests of two game-theoretic models of tacit collusion. The first model, due to Abreu, Pearce and Stacchetti (1986), predicts that price will switch across regimes according to a Markov process. The second model, by Rotemberg and Saloner (1986), concludes that price wars are more likely in periods of high industry demand. Switching regressions are used to model the firms? shifting between collusive and punishment behaviour. The main econometric novelty introduced in this paper is that misclassification probabilities are allowed to vary endogenously over time. The JEC data set is expanded to include measures of grain production to be shipped and availability of substitute transportation services. The findings cast doubt on the applicability of the Rotemberg and Saloner model to the JEC railroad cartel, while they confirm the Markovian prediction of the Abreu et al model.

Suggested Citation

  • V A Hajivassiliou, 1997. "Testing Game-Theoretic Models of Price Fixing Behaviour," STICERD - Econometrics Paper Series 324, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    • Handle: RePEc:cep:stiecm:324
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    References listed on IDEAS

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    Cited by:

    1. David G. Pearce, 1991. "Repeated Games: Cooperation and Rationality," Cowles Foundation Discussion Papers 983, Cowles Foundation for Research in Economics, Yale University.
    2. Richards, Timothy J. & Patterson, Paul M., 2004. "Causes of retail price fixity: an empirical analysis," Journal of Economics and Business, Elsevier, vol. 56(2), pages 117-136.

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    More about this item

    Keywords

    Price-fixing; Trigger-price mechanism; Switching regression models; measurement errors; simulation estimation.;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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