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Empirical Calibration of a Least-Cost Conservation Reserve Program

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Sheriff, Glenn

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Abstract

Mechanism design models typically conclude by characterizing an optimal allocation schedule based on the principal's beliefs regarding agent value functions and the distribution of agent types. This article addresses the question of how a principal can develop these beliefs given a standard cross-sectional data set in which agents' input-output choices are observable, but their underlying heterogeneity is not. I employ the methodology to evaluate strategies for reducing the cost of a voluntary program that reduces cultivation on environmentally-sensitive farmland.

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Publisher Info
Paper provided by American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association) in its series 2006 Annual meeting, July 23-26, Long Beach, CA with number 21420.

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Date of creation: 2006
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Handle: RePEc:ags:aaea06:21420

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Keywords: Environmental Economics and Policy;

References listed on IDEAS
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  1. Gagnepain, Philippe & Ivaldi, Marc, 1999. "Incentive Regulatory Policies: The Case of Public Transit Systems in France," IDEI Working Papers 84, Institut d'Économie Industrielle (IDEI), Toulouse. [Downloadable!]
    Other versions:
  2. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July. [Downloadable!] (restricted)
  3. Myerson, Roger B, 1979. "Incentive Compatibility and the Bargaining Problem," Econometrica, Econometric Society, vol. 47(1), pages 61-73, January. [Downloadable!] (restricted)
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  4. Thomas Alban, 1995. "Regulating Pollution under Asymmetric Information: The Case of Industrial Wastewater Treatment," Journal of Environmental Economics and Management, Elsevier, vol. 28(3), pages 357-373, May. [Downloadable!] (restricted)
  5. Laffont, Jean-Jacques & Tirole, Jean, 1986. "Using Cost Observation to Regulate Firms," Journal of Political Economy, University of Chicago Press, vol. 94(3), pages 614-41, June. [Downloadable!] (restricted)
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  6. Kopp, Raymond J. & Mullahy, John, 1990. "Moment-based estimation and testing of stochastic frontier models," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 165-183. [Downloadable!] (restricted)
  7. Guesnerie, Roger & Laffont, Jean-Jacques, 1984. "A complete solution to a class of principal-agent problems with an application to the control of a self-managed firm," Journal of Public Economics, Elsevier, vol. 25(3), pages 329-369, December. [Downloadable!] (restricted)
  8. Newey, Whitney K., 1984. "A method of moments interpretation of sequential estimators," Economics Letters, Elsevier, vol. 14(2-3), pages 201-206. [Downloadable!] (restricted)
  9. Pascal Lavergne & Alban Thomas, 2005. "Semiparametric estimation and testing in a model of environmental regulation with adverse selection," Empirical Economics, Springer, vol. 30(1), pages 171-192, January. [Downloadable!] (restricted)
  10. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "Multilateral Comparisons of Output, Input, and Productivity Using Superlative Index Numbers," Economic Journal, Royal Economic Society, vol. 92(365), pages 73-86, March. [Downloadable!] (restricted)
  11. Pepper, John V., 2002. "Robust inferences from random clustered samples: an application using data from the panel study of income dynamics," Economics Letters, Elsevier, vol. 75(3), pages 341-345, May. [Downloadable!] (restricted)
  12. Christopher R. Knittel, 2002. "Alternative Regulatory Methods And Firm Efficiency: Stochastic Frontier Evidence From The U.S. Electricity Industry," The Review of Economics and Statistics, MIT Press, vol. 84(3), pages 530-540, August. [Downloadable!] (restricted)
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This page was last updated on 2009-11-26.


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