Variable Input Allocation: Why Heterogeneity Matters?
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.
|Date of creation:||2010|
|Contact details of provider:|| Web page: http://www.eaae.org|
More information through EDIRC
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- C. Richard Shumway & Rulon D. Pope & Elizabeth K. Nash, 1984. "Allocatable Fixed Inputs and Jointness in Agricultural Production: Implications for Economic Modeling," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 66(1), pages 72-78.
- Zvi Griliches & Jacques Mairesse, 1995.
"Production Functions: The Search for Identification,"
Harvard Institute of Economic Research Working Papers
1719, Harvard - Institute of Economic Research.
- Zvi Griliches & Jacques Mairesse, 1995. "Production Functions: The Search for Identification," NBER Working Papers 5067, National Bureau of Economic Research, Inc.
- Z, Griliches & Jacques Mairesse, 1997. "Production Functions : The Search for Identification," Working Papers 97-30, Centre de Recherche en Economie et Statistique.
- 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.
- Heckman, J J & Tobias, Justin & Vytlacil, Ed, 2003. "Simple Estimators for Treatment Parameters in a Latent Variable Framework," Staff General Research Papers Archive 12012, Iowa State University, Department of Economics.
- 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.
- Miller, Douglas & Lence, Sergio H., 1998.
"Estimation of Multi-Output Production Functions with Incomplete Data: A Generalized Maximum Entropy Approach,"
Staff General Research Papers Archive
1219, Iowa State University, Department of Economics.
- 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.
- BEL FranÃ§ois & LACROIX Anne & SALANIE FranÃ§ois & 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.
- 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), pages -, July.
- 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 679-685, May.
- 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.
- 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.
- Dixon, Bruce L & Batte, Marvin T & Sonka, Steven T, 1984. "Random Coefficients Estimation of Average Total Product Costs for Multiproduct Firms," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(4), pages 360-366, October.
- 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.
- 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.
- Chamberlain, Gary, 1982. "Multivariate regression models for panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 5-46, January.
- Peeters, Ludo & Surry, Yves, 1993. "Estimating feed utilisation matrices using a cost function approach," Agricultural Economics, Blackwell, vol. 9(2), pages 109-126, August.
When requesting a correction, please mention this item's handle: RePEc:ags:eaa120:109387. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search)
If references are entirely missing, you can add them using this form.