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Collusion, Delegation and Supervision with Soft Information

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  • Faure-Grimaud, Antoine
  • Laffont, Jean-Jacques
  • Martimort, David

Abstract

This paper shows that supervision with soft information is valuable whenever supervisors and supervisees collude under asymmetric information and proceeds then to derive an Equivalence Principle between organizational forms of supervisory and productive activities. We consider an organization with an agent privately informed on his productivity and a risk averse supervisor getting signals on the agent's type. In a centralized organization, the principal can communicate and contract with both the supervisor and the agent. However, these two agents can collude against the principal. In a decentralized organization, the principal only communicates and contracts with the supervisor who in turn sub-contracts with the agent. We show that the two organizations achieve the same outcome. We discuss this equivalence and provide various comparative statics results to assess the efficiency of supervisory structures. Copyright 2003, Wiley-Blackwell.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Faure-Grimaud, Antoine & Laffont, Jean-Jacques & Martimort, David, 2003. "Collusion, Delegation and Supervision with Soft Information," IDEI Working Papers 167, Institut d'Économie Industrielle (IDEI), Toulouse.
  • Handle: RePEc:ide:wpaper:637
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    References listed on IDEAS

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    More about this item

    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • L51 - Industrial Organization - - Regulation and Industrial Policy - - - Economics of Regulation

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