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Regulatory Risk under Optimal Incentive Regulation

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  • Roland Strausz

Abstract

The paper provides a tractable, analytical framework to study regulatory risk under optimal incentive regulation. Regulatory risk is captured by uncertainty about the policy variables in the regulator’s objective function: weights attached to profits and costs of public funds. Results are as follows: 1) The regulator’s reaction to regulatory risk depends on the curvature of the aggregate demand function. 2) It yields a positive information rent effect exactly when demand is convex. 3) Firms benefit from regulatory risk exactly when demand is convex. 4) Consumers’ risk preferences tend to contradict the firm’s. 5) Benevolent regulators always prefer regulatory risk and these preferences may contradict both the firm’s and consumers’ preferences.

Suggested Citation

  • Roland Strausz, 2009. "Regulatory Risk under Optimal Incentive Regulation," SFB 649 Discussion Papers SFB649DP2009-006, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
  • Handle: RePEc:hum:wpaper:sfb649dp2009-006
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    Cited by:

    1. Roland Strausz, 2009. "The Political Economy of Regulatory Risk," SFB 649 Discussion Papers SFB649DP2009-040, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    2. Michael Funke & Marc Gronwald, 2009. "A Convex Hull Approach to Counterfactual Analysis of Trade Openness and Growth," CESifo Working Paper Series 2692, CESifo.
    3. Michał Grajek & Lars-Hendrik Röller, 2012. "Regulation and Investment in Network Industries: Evidence from European Telecoms," Journal of Law and Economics, University of Chicago Press, vol. 55(1), pages 189-216.
    4. Darryl S. L. Jarvis, 2010. "Institutional processes and regulatory risk: A case study of the Thai energy sector," Regulation & Governance, John Wiley & Sons, vol. 4(2), pages 175-202, June.
    5. Barbara Choroś & Wolfgang Härdle & Ostap Okhrin, 2009. "CDO and HAC," SFB 649 Discussion Papers SFB649DP2009-038, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    6. Maria Grith & Wolfgang Härdle & Juhyun Park, 2009. "Shape invariant modelling pricing kernels and risk aversion," SFB 649 Discussion Papers SFB649DP2009-041, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.

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    More about this item

    Keywords

    optimal incentive regulation; regulatory risk; procurement; information rents;
    All these keywords.

    JEL classification:

    • L51 - Industrial Organization - - Regulation and Industrial Policy - - - Economics of Regulation
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design

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