Dynamic Quotas with Learning
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.
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- 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.
- Hoel, Michael & Karp, Larry, 2000.
"Taxes and Quotas for a Stock Pollutant with Multiplicative Uncertainty,"
Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series
qt9v86p5s7, Department of Agricultural & Resource Economics, UC Berkeley.
- 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.
- Michael Hoel & Larry Karp, 1999. "Taxes and Quotas for a Stock Pollutant with Multiplicative Uncertainty," Working Papers 1999.15, Fondazione Eni Enrico Mattei.
- Yohe, Gary Wynn, 1977. "Comparisons of price and quantity controls: A survey," Journal of Comparative Economics, Elsevier, vol. 1(3), pages 213-233, September.
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- Stavins, Robert N., 1996. "Correlated Uncertainty and Policy Instrument Choice," Journal of Environmental Economics and Management, Elsevier, vol. 30(2), pages 218-232, March.
- 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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