Learning by doing and the value of optimal experimentation
Research on learning-by-doing has typically been restricted to cases where estimation and control can be treated separately. Recent work has provided convergence results for more general learning problems where experimentation is an important aspect of optimal control. However the associated optimal policy cannot be derived analytically because Bayesian learning introduces a nonlinearity in the dynamic programming problem. This paper characterizes the optimal policy numerically and shows that it incorporates a substantial degree of experimentation. Dynamic simulations indicate that optimal experimentation dramatically improves the speed of learning, while separating control and estimation frequently induces a long-lasting bias in the control and target variables.
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- Volker Wieland, 2005. "A Numerical Dynamic Programming Algorithm for Optimal Learning Problems," Computing in Economics and Finance 2005 193, Society for Computational Economics.
- Jovanovic, Boyan & Nyarko, Yaw, 1994. "The Bayesian Foundations of Learning by Doing," Working Papers 94-15, C.V. Starr Center for Applied Economics, New York University.
- Amman, Hans M. & Kendrick, David A., 1994. "Active learning Monte Carlo results," Journal of Economic Dynamics and Control, Elsevier, vol. 18(1), pages 119-124, January.
- 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.
- John B. Taylor, 1976. "Methods of Efficient Parameter Estimation in Control Problems," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 3, pages 339-347 National Bureau of Economic Research, Inc.
- 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.
- Prescott, Edward C, 1972. "The Multi-Period Control Problem Under Uncertainty," Econometrica, Econometric Society, vol. 40(6), pages 1043-58, November.
- 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.
- 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.
- Kendrick, David, 1978. "Non-convexities from probing in adaptive control problems," Economics Letters, Elsevier, vol. 1(4), pages 347-351.
- Kenneth L. Judd, 1998. "Numerical Methods in Economics," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262100711, June.
- Aghion Philippe & Bolton, Patrick & Harris Christopher & Jullien Bruno, 1991.
"Optimal learning by experimentation,"
CEPREMAP Working Papers (Couverture Orange)
- Balvers, Ronald J & Cosimano, Thomas F, 1994. "Inflation Variability and Gradualist Monetary Policy," Review of Economic Studies, Wiley Blackwell, vol. 61(4), pages 721-38, October.
- Boyan Jovanovic & Yaw Nyarko, 1994.
"Learning By Doing and the Choice of Technology,"
NBER Working Papers
4739, National Bureau of Economic Research, Inc.
- Rothschild, Michael, 1974. "A two-armed bandit theory of market pricing," Journal of Economic Theory, Elsevier, vol. 9(2), pages 185-202, October.
- Bertocchi, Graziella & Spagat, Michael, 1993.
"Learning, experimentation, and monetary policy,"
Journal of Monetary Economics,
Elsevier, vol. 32(1), pages 169-183, August.
- Bertocchi, Graziella & Spagat, Michael, 1991. "Learning, Experimentation and Monetary Policy," Discussion Papers (IRES - Institut de Recherches Economiques et Sociales) 1991018, Université catholique de Louvain, Institut de Recherches Economiques et Sociales (IRES).
- Trefler, Daniel, 1993. "The Ignorant Monopolist: Optimal Learning with Endogenous Information," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 34(3), pages 565-81, August.
- Aghion, Philippe, et al, 1991. "Optimal Learning by Experimentation," Review of Economic Studies, Wiley Blackwell, vol. 58(4), pages 621-54, July.
- Tucci, Marco P., 1997. "Adaptive control in the presence of time-varying parameters," Journal of Economic Dynamics and Control, Elsevier, vol. 22(1), pages 39-47, November.
- A.L. Norman & M.R. Norman & C.J. Palash, 1979. "Multiple relative maxima in optimal macroeconomic policy: an illustration," Special Studies Papers 134, Board of Governors of the Federal Reserve System (U.S.).
- Kiefer, Nicholas M., 1989. "A value function arising in the economics of information," Journal of Economic Dynamics and Control, Elsevier, vol. 13(2), pages 201-223, April.
- Mizrach, Bruce, 1991. "Nonconvexities in a stochastic control problem with learning," Journal of Economic Dynamics and Control, Elsevier, vol. 15(3), pages 515-538, July.
- Kiefer, Nicholas M & Nyarko, Yaw, 1989. "Optimal Control of an Unknown Linear Process with Learning," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 30(3), pages 571-86, August.
- Kendrick, David, 1982. "Caution and probing in a macroeconomic model," Journal of Economic Dynamics and Control, Elsevier, vol. 4(1), pages 149-170, November.
- Mark Rosenzweig & Andrew D. Foster, .
"Learning by Doing and Learning from Others: Human Capital and Technical Change in Agriculture,"
_068, University of Pennsylvania.
- Foster, Andrew D & Rosenzweig, Mark R, 1995. "Learning by Doing and Learning from Others: Human Capital and Technical Change in Agriculture," Journal of Political Economy, University of Chicago Press, vol. 103(6), pages 1176-1209, December.
- Taylor, John B, 1974. "Asymptotic Properties of Multiperiod Control Rules in the Linear Regression Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 15(2), pages 472-84, June.
- Anderson, T W & Taylor, John B, 1976. "Some Experimental Results on the Statistical Properties of Least Squares Estimates in Control Problems," Econometrica, Econometric Society, vol. 44(6), pages 1289-1302, November.
- Amman, Hans M & Kendrick, David A, 1995. "Nonconvexities in Stochastic Control Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 36(2), pages 455-75, May.
- Easley, David & Kiefer, Nicholas M, 1988. "Controlling a Stochastic Process with Unknown Parameters," Econometrica, Econometric Society, vol. 56(5), pages 1045-64, September.
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