Incorporating Uncertainty In Integrated Assessment Modeling
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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| Date of creation: | 2003 |
| Date of revision: | |
| Handle: | RePEc:ags:aaea03:22225 |
| Contact details of provider: | Postal: Phone: (414) 918-3190 Fax: (414) 276-3349 Web page: http://www.aaea.orgEmail: More information through EDIRC
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References listed on IDEAS
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- Antle, John M. & Capalbo, Susan M., 2000.
"Econometric-Process Models For Integrated Assessment Of Agricultural Production Systems,"
Trade Research Center Research Discussion Papers
29234, Montana State University, Department of Agricultural Economics and Economics.
- 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.
- 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.
- 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).
- 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.
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