Learning by Doing vs. Learning from Others in a Principal-Agent Model
AbstractWe introduce learning in a principal-agent model of stochastic output sharing under moral hazard. Without knowing the agents' preferences and technology the principal tries to learn the optimal agency contract. We implement two learning paradigms - social (learning from others) and individual (learning by doing). We use a social evolutionary learning algorithm (SEL) to represent social learning. Within the individual learning paradigm, we investigate the performance of reinforcement learning (RL), experience-weighted attraction learning (EWA), and individual evolutionary learning (IEL). Overall, our results show that learning in the principal-agent environment is very difficult. This is due to three main reasons: (1) the stochastic environment, (2) a discontinuity in the payoff space in a neighborhood of the optimal contract due to the participation constraint and (3) incorrect evaluation of foregone payoffs in the sequential game principal-agent setting. The first two factors apply to all learning algorithms we study while the third is the main contributor for the failure of the EWA and IEL models. Social learning (SEL), especially combined with selective replication, is much more successful in achieving convergence to the optimal contract than the canonical versions of individual learning from the literature. A modified version of the IEL algorithm using realized payoff evaluation performs better than the other individual learning models; however, it still falls short of the social learning's ability to converge to the optimal contract.
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Bibliographic InfoPaper provided by Department of Economics, Simon Fraser University in its series Discussion Papers with number dp07-24.
Date of creation: Nov 2007
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Postal: Working Paper Coordinator, Department of Economics, Simon Fraser University, 8888 University Drive, Burnaby, BC, V5A 1S6, Canada
Other versions of this item:
- Arifovic, Jasmina & Karaivanov, Alexander, 2010. "Learning by doing vs. learning from others in a principal-agent model," Journal of Economic Dynamics and Control, Elsevier, vol. 34(10), pages 1967-1992, October.
- D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search, Learning, and Information
- D86 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Economics of Contract Law
- C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
This paper has been announced in the following NEP Reports:
- NEP-ALL-2008-04-21 (All new papers)
- NEP-BEC-2008-04-21 (Business Economics)
- NEP-CMP-2008-04-21 (Computational Economics)
- NEP-CTA-2008-04-21 (Contract Theory & Applications)
- NEP-DGE-2008-04-21 (Dynamic General Equilibrium)
- NEP-EVO-2008-04-21 (Evolutionary Economics)
- NEP-EXP-2008-04-21 (Experimental Economics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Stokey, Nancy L, 1988.
"Learning by Doing and the Introduction of New Goods,"
Journal of Political Economy,
University of Chicago Press, vol. 96(4), pages 701-17, August.
- Nancy L Stokey, 1986. "Learning-by-Doing and the Introduction of New Goods," Discussion Papers 699, Northwestern University, Center for Mathematical Studies in Economics and Management Science, revised May 1987.
- Hommes, Cars & Lux, Thomas, 2013.
"Individual Expectations And Aggregate Behavior In Learning-To-Forecast Experiments,"
Cambridge University Press, vol. 17(02), pages 373-401, March.
- Cars Hommes & Thomas Lux, 2008. "Individual Expectations and Aggregate Behavior in Learning to Forecast Experiments," Kiel Working Papers 1466, Kiel Institute for the World Economy.
- Hommes, C.H. & Lux, T., 2009. "Individual Expectations and Aggregate Behavior in Learning to Forcast Experiments," CeNDEF Working Papers 09-03, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
- Lux, Thomas & Schornstein, Sascha, 2005.
"Genetic learning as an explanation of stylized facts of foreign exchange markets,"
Journal of Mathematical Economics,
Elsevier, vol. 41(1-2), pages 169-196, February.
- Lux, Thomas & Schornstein, Sascha, 2002. "Genetic learning as an explanation of stylized facts of foreign exchange markets," Discussion Paper Series 1: Economic Studies 2002,29, Deutsche Bundesbank, Research Centre.
- Lux, Thomas & Schornstein, Sascha, 2003. "Genetic learning as an explanation of stylized facts of foreign exchange markets," Economics Working Papers |aEconomics working paper, Christian-Albrechts-University of Kiel, Department of Economics.
- Arifovic, Jasmina & Ledyard, John, 2007. "Call market book information and efficiency," Journal of Economic Dynamics and Control, Elsevier, vol. 31(6), pages 1971-2000, June.
- Mathias Dewatripont & Patrick Bolton, 2005.
ULB Institutional Repository
2013/9543, ULB -- Universite Libre de Bruxelles.
- Harald Uhlig & Martin Lettau, 1999. "Rules of Thumb versus Dynamic Programming," American Economic Review, American Economic Association, vol. 89(1), pages 148-174, March.
- Paul M Romer, 1999.
"Increasing Returns and Long-Run Growth,"
Levine's Working Paper Archive
2232, David K. Levine.
- Vriend, Nicolaas J., 2000. "An illustration of the essential difference between individual and social learning, and its consequences for computational analyses," Journal of Economic Dynamics and Control, Elsevier, vol. 24(1), pages 1-19, January.
- Roth, Alvin E. & Erev, Ido, 1995. "Learning in extensive-form games: Experimental data and simple dynamic models in the intermediate term," Games and Economic Behavior, Elsevier, vol. 8(1), pages 164-212.
- Marks, Robert, 1998.
"Evolved perception and behaviour in oligopolies,"
Journal of Economic Dynamics and Control,
Elsevier, vol. 22(8-9), pages 1209-1233, August.
- Joseph E. Stiglitz, 1973.
"Incentives and Risk-Sharing in Sharecropping,"
Cowles Foundation Discussion Papers
353, Cowles Foundation for Research in Economics, Yale University.
- Bengt Holmstrom & Paul R. Milgrom, 1985.
"Aggregation and Linearity in the Provision of Intertemporal Incentives,"
Cowles Foundation Discussion Papers
742, Cowles Foundation for Research in Economics, Yale University.
- Holmstrom, Bengt & Milgrom, Paul, 1987. "Aggregation and Linearity in the Provision of Intertemporal Incentives," Econometrica, Econometric Society, vol. 55(2), pages 303-28, March.
- Lucas, Robert Jr., 1988. "On the mechanics of economic development," Journal of Monetary Economics, Elsevier, vol. 22(1), pages 3-42, July.
- Drew Fudenberg & David K. Levine, 1998.
"The Theory of Learning in Games,"
MIT Press Books,
The MIT Press,
edition 1, volume 1, number 0262061945, January.
- Arifovic, Jasmina, 1996. "The Behavior of the Exchange Rate in the Genetic Algorithm and Experimental Economies," Journal of Political Economy, University of Chicago Press, vol. 104(3), pages 510-41, June.
- Conley, T.G. & Udry, C.R., 2000.
"Learning about a New Technology: Pineapple in Ghana,"
817, Yale - Economic Growth Center.
- Timothy G. Conley & Christopher R. Udry, 2005. "Learning about a new technology: pineapple in Ghana," Proceedings, Federal Reserve Bank of San Francisco.
- Timothy G. Conley & Christopher R. Udry, 2010. "Learning about a New Technology: Pineapple in Ghana," American Economic Review, American Economic Association, vol. 100(1), pages 35-69, March.
- Rose Cunningham, 2004. "Investment, Private Information and Social Learning: A Case Study of the Semiconductor Industry," Macroeconomics 0409021, EconWPA.
- Jasmina Arifovic & John Ledyard, 2004. "Scaling Up Learning Models in Public Good Games," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 6(2), pages 203-238, 05.
- Rebecca Achee Thornton & Peter Thompson, 2001. "Learning from Experience and Learning from Others: An Exploration of Learning and Spillovers in Wartime Shipbuilding," American Economic Review, American Economic Association, vol. 91(5), pages 1350-1368, December.
- Chao, Kang, 1983. "Tenure Systems in Traditional China," Economic Development and Cultural Change, University of Chicago Press, vol. 31(2), pages 295-314, January.
- Rogerson, William P, 1985. "The First-Order Approach to Principal-Agent Problems," Econometrica, Econometric Society, vol. 53(6), pages 1357-67, November.
- Sunil Dutta, 2002. "Revenue Recognition in a Multiperiod Agency Setting," Journal of Accounting Research, Wiley Blackwell, vol. 40(1), pages 67-83, 03.
- Masten, Scott E & Snyder, Edward A, 1993. "United States versus United Shoe Machinery Corporation: On the Merits," Journal of Law and Economics, University of Chicago Press, vol. 36(1), pages 33-70, April.
- Colin Camerer & Teck-Hua Ho, 1999. "Experience-weighted Attraction Learning in Normal Form Games," Econometrica, Econometric Society, vol. 67(4), pages 827-874, July.
- Lettau, Martin, 1997. "Explaining the facts with adaptive agents: The case of mutual fund flows," Journal of Economic Dynamics and Control, Elsevier, vol. 21(7), pages 1117-1147, June.
- Arifovic, Jasmina, 1994. "Genetic algorithm learning and the cobweb model," Journal of Economic Dynamics and Control, Elsevier, vol. 18(1), pages 3-28, January.
- Xiaobo Zhang & Shenggen Fan & Ximing Cai, 2002. "The Path Of Technology Diffusion: Which Neighbors To Learn From?," Contemporary Economic Policy, Western Economic Association International, vol. 20(4), pages 470-478, October.
- Caves, Richard E & Crookell, Harold & Killing, J Peter, 1983. "The Imperfect Market for Technology Licenses," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 45(3), pages 249-67, August.
- Jasmina Arifovic & Michael Maschek, 2006. "Revisiting Individual Evolutionary Learning in the Cobweb Model – An Illustration of the Virtual Spite-Effect," Computational Economics, Society for Computational Economics, vol. 28(4), pages 333-354, November.
- Erev, Ido & Roth, Alvin E, 1998. "Predicting How People Play Games: Reinforcement Learning in Experimental Games with Unique, Mixed Strategy Equilibria," American Economic Review, American Economic Association, vol. 88(4), pages 848-81, September.
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