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Incorporating Uncertainty In Integrated Assessment Modeling

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  • Mooney, Sian
  • Antle, John M.
  • Capalbo, Susan M.
  • Paustian, Keith H.

Abstract

This paper examines how uncertainty analysis can be used to examine parameter uncertainty; determine the expected value of model outcomes and the range of possible model outcomes for a non-linear integrated economic and biophysical model.

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File URL: http://purl.umn.edu/22225
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Bibliographic Info

Paper provided by American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association) in its series 2003 Annual meeting, July 27-30, Montreal, Canada with number 22225.

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Date of creation: 2003
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Handle: RePEc:ags:aaea03:22225

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Keywords: Risk and Uncertainty;

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  1. Kling, Catherine L. & Dorfman, Jeffrey & Sexton, Richard, 1990. "Confidence Intervals for Elasticities and Flexibilities: Re-Evaluating the Ratios of Normals Case," Staff General Research Papers 1582, Iowa State University, Department of Economics.
  2. John M. Antle & Susan M. Capalbo, 2001. "Econometric-Process Models for Integrated Assessment of Agricultural Production Systems," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(2), pages 389-401.
  3. Antle, John M. & Capalbo, Susan M. & Mooney, Sian, 1999. "Optimal Spatial Scale For Evaluating Economic And Environmental Tradeoffs," 1999 Annual meeting, August 8-11, Nashville, TN 21660, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  4. Hellerstein, Daniel, 1995. "Welfare Estimation Using Aggregate and Individual-Observations Models: A Comparison Using Monte Carlo Techniques," MPRA Paper 25267, University Library of Munich, Germany.
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