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Bayesian Regulatory Mechanisms: Corruption and Learning

In: Contemporary Economic Issues

Author

Listed:
  • Semih Koray

    (Bilkent University)

  • İsmail Sağlam

    (Bilkent University)

Abstract

Regulation can be described as central interference with industrial activities, aiming to achieve social efficiency when it cannot be reached through the market by itself. This area of economics basically deals with the design of artificial rules under which outcomes which otherwise can only be attained through cooperation can be reached through the non-cooperative and decentralized behaviour of agents. Although the theory of regulation can be traced back to Hotelling (1938) and Dupuit (1952), it is only in the past two decades that it gained a crucial impetus through its formulation within the game-theoretic framework of mechanism design. It is even more recently that the principal—agent setting has been employed in this area to treat the asymmetry of information between the regulating and the regulated agents.

Suggested Citation

  • Semih Koray & İsmail Sağlam, 1999. "Bayesian Regulatory Mechanisms: Corruption and Learning," International Economic Association Series, in: Murat R. Sertel (ed.), Contemporary Economic Issues, chapter 2, pages 30-48, Palgrave Macmillan.
  • Handle: RePEc:pal:intecp:978-1-349-14540-9_2
    DOI: 10.1007/978-1-349-14540-9_2
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    Cited by:

    1. Ismail Saglam, 2024. "The Bayesian approach to monopoly regulation after 40 years," Journal of Regulatory Economics, Springer, vol. 65(1), pages 108-136, June.

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