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Variable Input Allocation: Why Heterogeneity Matters?

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  • Letort, Elodie
  • Carpentier, Alain

Abstract

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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Bibliographic Info

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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Keywords: Variable Input Allocation; heterogeneity; Agricultural and Food Policy; Agricultural Finance; Crop Production/Industries; Farm Management; Research Methods/ Statistical Methods;

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  1. James Heckman & Justin L. Tobias & Edward Vytlacil, 2003. "Simple Estimators for Treatment Parameters in a Latent-Variable Framework," The Review of Economics and Statistics, MIT Press, vol. 85(3), pages 748-755, August.
  2. Thomas Heckelei & Hendrik Wolff, 2003. "Estimation of constrained optimisation models for agricultural supply analysis based on generalised maximum entropy," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 30(1), pages 27-50, March.
  3. 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.
  4. Lence, Sergio H & Miller, Douglas J, 1998. "Estimation of Multi-output Production Functions with Incomplete Data: A Generalised Maximum Entropy Approach," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 25(2), pages 188-209.
  5. Peeters, Ludo & Surry, Yves, 1993. "Estimating feed utilisation matrices using a cost function approach," Agricultural Economics, Blackwell, vol. 9(2), pages 109-126, August.
  6. Rulon D. Pope & Richard E. Just, 2003. "Distinguishing Errors in Measurement from Errors in Optimization," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(2), pages 348-358.
  7. Chamberlain, Gary, 1982. "Multivariate regression models for panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 5-46, January.
  8. 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.
  9. Zvi Griliches & Jacques Mairesse, 1995. "Production Functions: The Search for Identification," NBER Working Papers 5067, National Bureau of Economic Research, Inc.
  10. Smith, Richard J & Blundell, Richard W, 1986. "An Exogeneity Test for a Simultaneous Equation Tobit Model with an Application to Labor Supply," Econometrica, Econometric Society, vol. 54(3), pages 679-85, May.
  11. BEL François & LACROIX Anne & SALANIE François & THOMAS Alban, 2006. "Evaluating the impact of CAP reforms on land use and the environment: a two-step estimation with multiple selection rules and panel data," LERNA Working Papers 06.13.206, LERNA, University of Toulouse.
  12. 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.
  13. 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.
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