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Recovering Output-Specific Inputs from Aggregate Input Data: A Generalized Cross-Entropy Approach
Sergio H. Lence and Douglas J. Miller
American Journal of Agricultural Economics
Vol. 80, No. 4 (Nov., 1998), pp. 852-867
Stable URL: http://www.jstor.org/stable/1244069
Page Count: 16
You can always find the topics here!Topics: Entropy, Statistical estimation, Input data, Simulations, Production functions, Profit maximization, Estimation methods, Estimators, Datasets, Production estimates
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For multiproduct firms, data on aggregate input usage are typically available but data on activity-specific inputs are not. The present study proposes a generalized cross-entropy approach to estimate activity-specific input allocations that are consistent with the aggregate information. The proposed method does not require behavioral assumptions (e.g., profit maximization) but does accommodate behavioral restrictions as well as nonsample information about the plausible factor shares across enterprises. Monte Carlo experiments using simulated data for multifactor-multiproduct firms are used to evaluate the performance of the proposed method.
American Journal of Agricultural Economics © 1998 Agricultural & Applied Economics Association