Learning about variable demand in the long run
This paper studies the problem of a monopoly who is uncertain about the demand it faces and learns about it over time through its pricing experience. The demand curve facing the monopoly is not constant - it changes over time in a Markovian fashion. We characterize the monopoly's optimal policy and inquire how it differs from an informed monopoly's policy. It turns out that, even when the rate at which the demand varies is negligible, the stationary probability with which the monopoly's policy deviates from its informed counterpart is non-negligible, as long as the discount factor is below 1.
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- Nyarko, Yaw & Olson, Lars J., 1996.
"Optimal growth with unobservable resources and learning,"
Journal of Economic Behavior & Organization,
Elsevier, vol. 29(3), pages 465-491, May.
- Nyarko, Yaw & Olson, Lars J., 1991. "Optimal Growth with Unobservable Resources and Learning," Working Papers 91-01, C.V. Starr Center for Applied Economics, New York University.
- Aghion, P. & Bolton, P. & Harris, C. & Jullien, B., 1990.
"Optimal Learning By Experimentation,"
DELTA Working Papers
90-10, DELTA (Ecole normale supérieure).
- McLennan, Andrew, 1984. "Price dispersion and incomplete learning in the long run," Journal of Economic Dynamics and Control, Elsevier, vol. 7(3), pages 331-347, September.
- Easley, David & Kiefer, Nicholas M, 1988. "Controlling a Stochastic Process with Unknown Parameters," Econometrica, Econometric Society, vol. 56(5), pages 1045-64, September.
- Balvers, Ronald J. & Cosimano, Thomas F., 1993. "Periodic learning about a hidden state variable," Journal of Economic Dynamics and Control, Elsevier, vol. 17(5-6), pages 805-827.
- Balvers, Ronald J & Cosimano, Thomas F, 1990. "Actively Learning about Demand and the Dynamics of Price Adjustment," Economic Journal, Royal Economic Society, vol. 100(402), pages 882-98, September.
- Aghion, Philippe, et al, 1991. "Optimal Learning by Experimentation," Review of Economic Studies, Wiley Blackwell, vol. 58(4), pages 621-54, July.
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