Actively Learning about Demand and the Dynamics of Price Adjustment
AbstractBy observing the quantity demanded at particular prices, a firm may learn about the parameters of its demand curve. In such an environment, price changes obstruct the learning process by inducing additional noise. The authors' paper constructs a dynamic model where a price-setting firm endogenously controls the speed of learning. The model provides a possible explanation for price inertia, as a stable pricing policy allows the firm to learn more rapidly, which improves future expected profits. Furthermore, even in the long run, learning continues to affect the firm's optimal price. Copyright 1990 by Royal Economic Society.
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Bibliographic InfoArticle provided by Royal Economic Society in its journal The Economic Journal.
Volume (Year): 100 (1990)
Issue (Month): 402 (September)
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- Aldo Rustichini & Asher Wolinsky, 1992.
"Learning about Variable Demand in the Long Run,"
1015, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
- Koulovatianos, Christos & Mirman, Leonard J. & Santugini, Marc, 2009.
"Optimal growth and uncertainty: Learning,"
Journal of Economic Theory,
Elsevier, vol. 144(1), pages 280-295, January.
- Christos Koulovatianos & Leonard J. Mirman & Marc Santugini, 2007. "Optimal Growth and Uncertainty: Learning," Cahiers de recherche 07-05, HEC Montréal, Institut d'économie appliquée, revised Feb 2008.
- Christos Koulovatianos, & Leonard J. Mirman & Marc Santugini, . "Optimal Growth and Uncertainty: Learning," Discussion Papers 08/08, University of Nottingham, Centre for Finance, Credit and Macroeconomics (CFCM).
- Batlome Janjgava & Sergey Slobodyan, 2011. "Duopoly Competition, Escape Dynamics and Non-cooperative Collusion," CERGE-EI Working Papers wp445, The Center for Economic Research and Graduate Education - Economic Institute, Prague.
- Klumpp, Tilman, 2006. "Linear learning in changing environments," Journal of Economic Dynamics and Control, Elsevier, vol. 30(12), pages 2577-2611, December.
- Mason, Robin & Välimäki, Juuso, 2011. "Learning about the arrival of sales," Journal of Economic Theory, Elsevier, vol. 146(4), pages 1699-1711, July.
- Volker Wieland, 1996.
"Learning by doing and the value of optimal experimentation,"
Finance and Economics Discussion Series
96-5, Board of Governors of the Federal Reserve System (U.S.).
- Wieland, Volker, 2000. "Learning by doing and the value of optimal experimentation," Journal of Economic Dynamics and Control, Elsevier, vol. 24(4), pages 501-534, April.
- Tim Willems, 2013. "Actively Learning by Pricing: A Model of an Experimenting Seller," Economics Series Working Papers 687, University of Oxford, Department of Economics.
- Holmes, James M. & Dowd, Michael R. & Black, David C., 1995. "Ignorance may be optimal? Some welfare implications of rational versus non-rational expectations," Journal of Macroeconomics, Elsevier, vol. 17(3), pages 377-386.
- Alexandre X. Carvalho & Martin L. Puterman, 2005. "Dynamic Optimization and Learning: How Should a Manager set Prices when the Demand Function is Unknown ?," Discussion Papers 1117, Instituto de Pesquisa Econômica Aplicada - IPEA.
- Leonard J. Mirman & Marc Santugini, 2012. "Learning and Technology Progress in Dynamic Games," Cahiers de recherche 1217, CIRPEE.
- Mario Tello, 1992. "Precios relativos, producción interna y exportaciones en modelos de competencia imperfecta doméstica y mercados segmentados," Documentos de Trabajo 1992-107, Departamento de Economía - Pontificia Universidad Católica del Perú.
- Christos Koulovatianos & Leonard J. Mirman & Marc Santugini, 2011.
"Investment in a Monopoly with Bayesian Learning,"
Cahiers de recherche
11-05, HEC Montréal, Institut d'économie appliquée.
- Leonard J. Mirman & Kevin Reffett & Marc Santugini, 2013. "On Learning and Growth," Cahiers de recherche 1336, CIRPEE.
- Kelly, David L. & Kolstad, Charles D., 1999. "Bayesian learning, growth, and pollution," Journal of Economic Dynamics and Control, Elsevier, vol. 23(4), pages 491-518, February.
- Cosimano, Thomas F., 2008. "Optimal experimentation and the perturbation method in the neighborhood of the augmented linear regulator problem," Journal of Economic Dynamics and Control, Elsevier, vol. 32(6), pages 1857-1894, June.
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