Empirical framework for Cournot oligopoly with private information.

We propose an empirical framework for asymmetric Cournot oligopoly with private information about variable costs. First, considering a linear demand for a homogeneous product with a random intercept, we characterize the Bayesian Cournot–Nash equilibrium. Then we establish the identification of the j...

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Publicado en:RAND Journal of Economics (Wiley-Blackwell) Vol. 55; no. 3; pp. 375 - 403
Autores principales: Aryal, Gaurab, Zincenko, Federico
Formato: Artículo
Publicado: Wiley-Blackwell Sep2024
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Acceso en línea:Ver este registro en EBSCOhost
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      dt: Sep2024
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        atl: Empirical framework for Cournot oligopoly with private information.
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        au:
          Aryal, Gaurab
          Zincenko, Federico
        affil:
          Department of Economics, Boston University
          College of Business, University of Nebraska–Lincoln
      su:
        Oligopolies
        Variable costs
        Petroleum
        Product differentiation
        Distribution costs
      sug:
        subj:
          Oligopolies
          Petroleum and Petroleum Products Merchant Wholesalers (except Bulk Stations and Terminals)
          Petroleum Bulk Stations and Terminals
          Petroleum and petroleum products merchant wholesalers
          Crude Petroleum and Natural Gas Extraction
          Pipeline Transportation of Crude Oil
          Variable costs
          Petroleum
          Product differentiation
          Distribution costs
      keyword:
        Cournot oligopoly
        crude oil
        identification
        private information
        variable costs
        Cournot oligopoly
        crude oil
        identification
        private information
        variable costs
      ab: We propose an empirical framework for asymmetric Cournot oligopoly with private information about variable costs. First, considering a linear demand for a homogeneous product with a random intercept, we characterize the Bayesian Cournot–Nash equilibrium. Then we establish the identification of the joint distribution of demand and firm‐specific cost distributions. Following the identification steps, we propose a likelihood‐based estimation method and apply it to the global market for crude oil and quantify the welfare effect of private information. We also consider extensions of the model to include product differentiation, conduct parameters, nonlinear demand, or selective entry.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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