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Dynamic Quotas with Learning

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  • Karp, Larry
  • Costello, Christopher J

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.

Suggested Citation

  • Karp, Larry & Costello, Christopher J, 2000. "Dynamic Quotas with Learning," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt88x3f17p, Department of Agricultural & Resource Economics, UC Berkeley.
    • Handle: RePEc:cdl:agrebk:qt88x3f17p
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    References listed on IDEAS

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    1. James M. Malcomson, 1978. "Prices vs. Quantities: A Critical Note on the Use of Approximations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 45(1), pages 203-207.
    2. Hoel, Michael & Karp, Larry, 2001. "Taxes and quotas for a stock pollutant with multiplicative uncertainty," Journal of Public Economics, Elsevier, vol. 82(1), pages 91-114, October.
    3. Rafael Rob, 1991. "Learning and Capacity Expansion under Demand Uncertainty," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(4), pages 655-675.
    4. 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.
    5. Stavins, Robert N., 1996. "Correlated Uncertainty and Policy Instrument Choice," Journal of Environmental Economics and Management, Elsevier, vol. 30(2), pages 218-232, March.
    6. Yohe, Gary Wynn, 1977. "Comparisons of price and quantity controls: A survey," Journal of Comparative Economics, Elsevier, vol. 1(3), pages 213-233, September.
    7. Roberts, Marc J. & Spence, Michael, 1976. "Effluent charges and licenses under uncertainty," Journal of Public Economics, Elsevier, vol. 5(3-4), pages 193-208.
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    Cited by:

    1. Karp, Larry & Zhang, Jiangfeng, 2001. "Bayesian Learning and the Regulation of Greenhouse Gas Emissions," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt2fr0783c, Department of Agricultural & Resource Economics, UC Berkeley.

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