Demand For Herbicide In Corn: An Entropy Approach Using Micro-Level Data
Price responsiveness of herbicide demand in corn for farmers in Indiana'Â’s White River Basin using cross-section data from individual farms is estimated. Particular attention is paid to appropriate treatment of binding nonnegativity constraints. Estimation was first attempted using an approach to demand systems estimation suggested by Lee and Pitt. However, analytical and computational difficulties effectively preclude estimation by the Lee and Pitt approach. As an alternative, a maximum entropy (ME) approach is presented and discussed. Results from the ME estimator tentatively indicate limited response of herbicide demand to changes in own prices. The maximum entropy approach to demand systems estimation appears to have merit and warrants further attention.
Volume (Year): 24 (1999)
Issue (Month): 01 (July)
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- Van Soest, Arthur & Kooreman, Peter, 1990.
"Coherency of the indirect translog demand system with binding nonnegativity constraints,"
Journal of Econometrics,
Elsevier, vol. 44(3), pages 391-400, June.
- van Soest, A.H.O. & Kooreman, P., 1990. "Coherency of the indirect translog demand system with binding nonnegativity constraints," Other publications TiSEM 67e4b635-f504-401e-9a07-8, Tilburg University, School of Economics and Management.
- Wales, T. J. & Woodland, A. D., 1983. "Estimation of consumer demand systems with binding non-negativity constraints," Journal of Econometrics, Elsevier, vol. 21(3), pages 263-285, April.
- Soest, Arthur van & Kapteyn, Arie & Kooreman, Peter, 1993. "Coherency and regularity of demand systems with equality and inequality constraints," Journal of Econometrics, Elsevier, vol. 57(1-3), pages 161-188.
- van Soest, A.H.O. & Kooreman, P. & Kapteyn, A.J., 1990. "Coherency and regularity of demand systems with equality and inequality constraints," Discussion Paper 1990-1, Tilburg University, Center for Economic Research.
- J. Scott Shonkwiler & Steven T. Yen, 1999. "Two-Step Estimation of a Censored System of Equations," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 81(4), pages 972-982.
- Heien, Dale & Wessells, Cathy Roheim, 1990. "Demand Systems Estimation with Microdata: A Censored Regression Approach," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(3), pages 365-371, July.
- Chambers,Robert G., 1988. "Applied Production Analysis," Cambridge Books, Cambridge University Press, number 9780521314275, October.
- Golan, Amos & Judge, George G. & Miller, Douglas, 1996. "Maximum Entropy Econometrics," Staff General Research Papers Archive 1488, Iowa State University, Department of Economics.
- Heien, Dale & Durham, Cathy, 1991. "A Test of the Habit Formation Hypothesis Using Household Data," The Review of Economics and Statistics, MIT Press, vol. 73(2), pages 189-199, May.
- Lee, Lung-Fei & Pitt, Mark M, 1986. "Microeconometric Demand Systems with Binding Nonnegativity Constraints: The Dual Approach," Econometrica, Econometric Society, vol. 54(5), pages 1237-1242, September.
- Golan, Amos & Judge, George & Robinson, Sherman, 1994. "Recovering Information from Incomplete or Partial Multisectoral Economic Data," The Review of Economics and Statistics, MIT Press, vol. 76(3), pages 541-549, August.
- Neary, J. P. & Roberts, K. W. S., 1980. "The theory of household behaviour under rationing," European Economic Review, Elsevier, vol. 13(1), pages 25-42, January.
- Neary, J.P & Roberts, K.W.S, 1978. "The Theory of Household Behaviour under Rationing," The Warwick Economics Research Paper Series (TWERPS) 132, University of Warwick, Department of Economics.
- Lee, Lung-Fei & Pitt, Mark M., 1987. "Microeconometric models of rationing, imperfect markets, and non-negativity constraints," Journal of Econometrics, Elsevier, vol. 36(1-2), pages 89-110.
- Lee, Lung-Fei & Pitt, Mark M., 1987. "Microeconometric Models of Rationing, Imperfect Markets, and Non-Negativity Constraints," Bulletins 7470, University of Minnesota, Economic Development Center.
- Quirino Paris & Richard E. Howitt, 1998. "An Analysis of Ill-Posed Production Problems Using Maximum Entropy," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(1), pages 124-138.
- Golan, Amos & Judge, George & Karp, Larry, 1996. "A maximum entropy approach to estimation and inference in dynamic models or Counting fish in the sea using maximum entropy," Journal of Economic Dynamics and Control, Elsevier, vol. 20(4), pages 559-582, April. Full references (including those not matched with items on IDEAS)
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