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Variable Input Allocation: Why Heterogeneity Matters?

  • Letort, Elodie
  • Carpentier, Alain

The allocation of variable inputs among crops is a common problem in applied studies that use farm accountancy data. Standard farm accounting information is typically restricted to aggregate or whole-farm input expenditures; there are usually no details on how these expenditures are split among crops. Most studies employing multi-crop econometric models with land as an allocable fixed input consider generally variable input uses at the farm level (Moore and Negri, 1992). However, the allocation of variable inputs among crops appears to be useful for several objectives, such as to analyze the evolution of gross margins at the crop level, to investigate the empirical validity of a multi-crop econometric model and to provide important information for extension agents or farmer advisors.

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File URL: http://purl.umn.edu/109387
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Paper provided by European Association of Agricultural Economists in its series 120th Seminar, September 2-4, 2010, Chania, Crete with number 109387.

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Date of creation: 2010
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Handle: RePEc:ags:eaa120:109387
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  1. Zvi Griliches & Jacques Mairesse, 1995. "Production Functions: The Search for Identification," Harvard Institute of Economic Research Working Papers 1719, Harvard - Institute of Economic Research.
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  8. Moore, Michael R. & Negri, Donald H., 1992. "A Multicrop Production Model Of Irrigated Agriculture, Applied To Water Allocation Policy Of The Bureau Of Reclamation," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 17(01), July.
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  10. Michael R. Moore & Ariel Dinar, 1995. "Water and Land as Quantity-Rationed Inputs in California Agriculture: Empirical Tests and Water Policy Implications," Land Economics, University of Wisconsin Press, vol. 71(4), pages 445-461.
  11. Barry T. Coyle, 1999. "Risk Aversion and Yield Uncertainty in Duality Models of Production: A Mean-Variance Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(3), pages 553-567.
  12. Chamberlain, Gary, 1982. "Multivariate regression models for panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 5-46, January.
  13. Heckman, J J & Tobias, Justin & Vytlacil, Ed, 2003. "Simple Estimators for Treatment Parameters in a Latent Variable Framework," Staff General Research Papers 12012, Iowa State University, Department of Economics.
  14. Arunava Bhattacharyya & Elliott Parker & Kambiz Raffiee, 1994. "An Examination of the Effect of Ownership on the Relative Efficiency of Public and Private Water Utilities," Land Economics, University of Wisconsin Press, vol. 70(2), pages 197-209.
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