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Econometric-Process Models For Integrated Assessment Of Agricultural Production Systems

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  • Antle, John M.
  • Capalbo, Susan M.

Abstract

This paper develops the conceptual and empirical basis for a class of empirical economic production models that can be linked to site-specific bio-physical models for use in integrated assessment research. Site-specific data are used to estimate econometric production models, and these data and models are then incorporated into a simulation model that represents the decision making process of the farmer as a sequence of discrete or continuous land use and input use decisions. This discrete/continuous structure of the econometric process model is able to simulate decision making both within and outside the range of observed data in a way that is consistent with economic theory and with site-specific bio-physical constraints and processes. An econometric-process model of the dryland grain production system of the Northern Plains demonstrates the capabilities of this type of model.

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Bibliographic Info

Paper provided by Montana State University, Department of Agricultural Economics and Economics in its series Trade Research Center Research Discussion Papers with number 29234.

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Date of creation: 2000
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Handle: RePEc:ags:motrdp:29234

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Postal: 306 Linfield Hall, Bozeman, MT 59715-0292
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Fax: (406) 994-4838
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Web page: http://www.montana.edu/econ
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Related research

Keywords: bio-physical models; integrated assessment; production models; dryland grain production; econometric-process models; Production Economics; C5; Q1; Q2;

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References

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  1. 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.
  2. Prato, Anthony A. & Fulcher, Christopher L. & Wu, Shunxiang & Ma, Jian, 1996. "Multiple-Objective Decision Making For Agroecosystem Management," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 25(2), October.
  3. Mendelsohn, Robert & Nordhaus, William D & Shaw, Daigee, 1994. "The Impact of Global Warming on Agriculture: A Ricardian Analysis," American Economic Review, American Economic Association, vol. 84(4), pages 753-71, September.
  4. Robert K. Kaufmann & Seth E. Snell, 1997. "A Biophysical Model of Corn Yield: Integrating Climatic and Social Determinants," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(1), pages 178-190.
  5. Antle, John M, 1983. "Testing the Stochastic Structure of Production: A Flexible Moment-based Approach," Journal of Business & Economic Statistics, American Statistical Association, vol. 1(3), pages 192-201, July.
  6. Beach, Robert H. & Thomson, Allison M. & McCarl, Bruce A., 2010. "Climate Change Impacts On Us Agriculture," Proceedings Issues, 2010: Climate Change in World Agriculture: Mitigation, Adaptation, Trade and Food Security, June 2010, Stuttgart- Hohenheim, Germany 91393, International Agricultural Trade Research Consortium.
  7. Banerjee, Anurag N. & Magnus, Jan R., 2000. "On the sensitivity of the usual t- and F-tests to covariance misspecification," Journal of Econometrics, Elsevier, vol. 95(1), pages 157-176, March.
  8. Just, Richard E & Antle, John M, 1990. "Interactions between Agricultural and Environmental Policies: A Conceptual Framework," American Economic Review, American Economic Association, vol. 80(2), pages 197-202, May.
  9. Antle, John M. & Capalbo, Susan M. & Crissman, Charles C., 1994. "Econometric Production Models With Endogenous Input Timing: An Application To Ecuadorian Potato Production," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 19(01), July.
  10. Antle, John M. & Capalbo, Susan M. & Mooney, Sian & Elliott, Edward T. & Paustian, Keith H., 2000. "Economics Of Agricultural Soil Carbon Sequestration In The Northern Plains," Trade Research Center Research Discussion Papers 29239, Montana State University, Department of Agricultural Economics and Economics.
  11. Anselin, Luc & Bera, Anil K. & Florax, Raymond & Yoon, Mann J., 1996. "Simple diagnostic tests for spatial dependence," Regional Science and Urban Economics, Elsevier, vol. 26(1), pages 77-104, February.
  12. Just, Richard E. & Pope, Rulon D., 1978. "Stochastic specification of production functions and economic implications," Journal of Econometrics, Elsevier, vol. 7(1), pages 67-86, February.
  13. Ian W. Hardie & Peter J. Parks, 1997. "Land Use with Heterogeneous Land Quality: An Application of an Area Base Model," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(2), pages 299-310.
  14. Antle, John M. & Capalbo, Susan M. & Johnson, James B. & Miljkovic, Dragan, 1999. "The Kyoto Protocol: Economic Effects Of Energy Prices On Northern Plains Dryland Grain Production," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 28(1), April.
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