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Dynamic quotas with learning

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Author Info

  • Karp, Larry S.

    ()
    (University of California, Berkeley. Dept of agricultural and resource economics and policy)

  • Costello, Christopher

Abstract

We study the optimal quota sequence, in a stationary environment, where a regulator and a non-strategic firm have asymmetric information, The regulator is able to learn about the unknown cost parameter by using a quota that is slack with positive probability, It is never optimal for the regulator to learn gradually, In the first period, he either ignores the possibility of learning, or he tries to improve his information, Regardless of the outcome in the first period, he never experiments in subsequent periods.

(This abstract was borrowed from another version of this item.)

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Bibliographic Info

Paper provided by University of California at Berkeley, Department of Agricultural and Resource Economics and Policy in its series CUDARE Working Paper Series with number 914.

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Length: 18 pages
Date of creation: 2000
Date of revision:
Handle: RePEc:are:cudare:914

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Related research

Keywords: abatement cost; benefit-cost analysis; information theory; pollution; probabilities;

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References

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  1. Roberts, Marc J. & Spence, Michael, 1976. "Effluent charges and licenses under uncertainty," Journal of Public Economics, Elsevier, vol. 5(3-4), pages 193-208.
  2. Stavins, Robert N., 1996. "Correlated Uncertainty and Policy Instrument Choice," Journal of Environmental Economics and Management, Elsevier, vol. 30(2), pages 218-232, March.
  3. Watson, William D. & Ridker, Ronald G., 1984. "Losses from effluent taxes and quotas under uncertainty," Journal of Environmental Economics and Management, Elsevier, vol. 11(4), pages 310-326, December.
  4. Michael Hoel & Larry Karp, 1999. "Taxes and Quotas for a Stock Pollutant with Multiplicative Uncertainty," Working Papers 1999.15, Fondazione Eni Enrico Mattei.
  5. Yohe, Gary Wynn, 1977. "Comparisons of price and quantity controls: A survey," Journal of Comparative Economics, Elsevier, vol. 1(3), pages 213-233, September.
  6. Malcomson, James M, 1978. "Prices vs. Quantities: A Critical Note on the Use of Approximations," Review of Economic Studies, Wiley Blackwell, vol. 45(1), pages 203-07, February.
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Cited by:
  1. Karp, Larry S. & Zhang, Jiangfeng, 2001. "Bayesian learning and the regulation of greenhouse gas emissions," CUDARE Working Paper Series 926, University of California at Berkeley, Department of Agricultural and Resource Economics and Policy.

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