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Why it Pays to Conceal: On the Optimal Timing of Acquiring Verifiable Information

Author

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  • Feess Eberhard

    (Frankfurt School of Finance and Management,Frankfurt, Germany)

  • Walzl Markus

    (Bamberg University and METEOR,Bamberg, Germany)

  • Schieble Michael

    (Deutscher Sparkassenund Giroverband,Berlin, Germany)

Abstract

We consider optimal contracts when a principal has two sources to detect bad projects. The first one is an information technology without agency costs (ITP), whereas the second one is the expertise of an agent subject to moral hazard, adverse selection and limited liability (ITA). First, we show that the principal does not necessarily benefit from access to additional information and thereby may prefer to ignore it. Second, we discuss different timings of information release, i.e., a disclosure contract offered to the agent after the principal announced the result of ITP, and a concealment contract where the agent exerts effort before ITP is checked. We find that concealment is superior whenever the quality of ITP is sufficiently low. Then, ITP is almost worthless under a disclosure contract, while it can still be exploited to reduce the agent’s information rent under concealment. If the quality of ITPimproves, disclosure can be superior as it allows to adjust the agent’s effort to the updated expected quality of the project. However, even for a highly informative ITP, concealment can be superior as it mitigates the adverse selection problem.

Suggested Citation

  • Feess Eberhard & Walzl Markus & Schieble Michael, 2011. "Why it Pays to Conceal: On the Optimal Timing of Acquiring Verifiable Information," German Economic Review, De Gruyter, vol. 12(1), pages 100-123, February.
  • Handle: RePEc:bpj:germec:v:12:y:2011:i:1:p:100-123
    DOI: 10.1111/j.1468-0475.2010.00506.x
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    References listed on IDEAS

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    Cited by:

    1. Feess Eberhard & Walzl Markus & Schieble Michael, 2011. "Why it Pays to Conceal: On the Optimal Timing of Acquiring Verifiable Information," German Economic Review, De Gruyter, vol. 12(1), pages 100-123, February.
    2. Bücker, Michael & van Kampen, Maarten & Krämer, Walter, 2013. "Reject inference in consumer credit scoring with nonignorable missing data," Journal of Banking & Finance, Elsevier, vol. 37(3), pages 1040-1045.

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