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Improving the Effort Concept: A Revision of the Traditional Approach in the Context of Controlled Dynamic Stochastic Environments

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PROTOPOPESCU DAN ()
Abstract

The objective of this paper is to re-evaluate the attitude to effort of a risk-averse decision-maker in an evolving environment. In the classic analysis, the space of efforts is generally discretized. More realistic, this new approach emploies a continuum of effort levels. The presence of multiple possible efforts and performance levels provides a better basis for explaining real economic phenomena. The traditional approach (see, Laffont, J. J. & Tirole, J., 1993, Salanie, B., 1997, Laffont, J.J. and Martimort, D, 2002, among others) does not take into account the potential effect of the system dynamics on the agent's behavior to effort over time. In the context of a Principal-agent relationship, not only the incentives of the Principal can determine the private agent to allocate a good effort, but also the evolution of the dynamic system. The incentives can be ineffective when the environment does not incite the agent to invest a good effort. This explains why, some effici

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Paper provided by Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC) in its series UFAE and IAE Working Papers with number 739.08.

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Length: 33
Date of creation: 01 Apr 2008
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Handle: RePEc:aub:autbar:739.08

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Related research
Keywords: Controlled stochastic environment optimal trajectory closed-loop strategy rational decision-maker endogenous dynamic active learning adaptive effort management optimal effort threshold effort aversion excessive behavior learning of preferences.

Find related papers by JEL classification:
C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
D78 - Microeconomics - - Analysis of Collective Decision-Making - - - Positive Analysis of Policy-Making and Implementation
D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information
D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search, Learning, and Information

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References listed on IDEAS
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.:
  1. Stigler, George J & Becker, Gary S, 1977. "De Gustibus Non Est Disputandum," American Economic Review, American Economic Association, vol. 67(2), pages 76-90, March.
  2. Boadway, Robin & Cuff, Katherine & Marceau, Nicolas, 2003. "Redistribution and employment policies with endogenous unemployment," Journal of Public Economics, Elsevier, vol. 87(11), pages 2407-2430, October. [Downloadable!] (restricted)
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  3. Shapiro, Carl & Stiglitz, Joseph E, 1984. "Equilibrium Unemployment as a Worker Discipline Device," American Economic Review, American Economic Association, vol. 74(3), pages 433-44, June. [Downloadable!] (restricted)
  4. van der Ploeg, F., 1984. "Risk and linear-quadratic stabilization," Economics Letters, Elsevier, vol. 15(1-2), pages 73-78. [Downloadable!] (restricted)
  5. 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. [Downloadable!] (restricted)
  6. van de Stadt, Huib & Kapteyn, Arie & van de Geer, Sara, 1985. "The Relativity of Utility: Evidence from Panel Data," The Review of Economics and Statistics, MIT Press, vol. 67(2), pages 179-87, May. [Downloadable!] (restricted)
  7. Dan Protopopescu, 2007. "Improving the Risk Concept: A Revision of Arrow-Pratt Theory in the Context of Controlled Dynamic Stochastic Environments," UFAE and IAE Working Papers 727.08, Unitat de Fonaments de l'Anàlisi Econòmica (UAB) and Institut d'Anàlisi Econòmica (CSIC). [Downloadable!]
  8. Varian, Hal R., 1990. "Goodness-of-fit in optimizing models," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 125-140. [Downloadable!] (restricted)
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