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Abstract
This paper compares three models of input allocation in multicrop systems. In addition to the variable input and
satisficing models analyzed in previous research, an allocatable fixed input model of short-run input use is derived.
The empirical application studies irrigation water use in the Central Plains region of the United States. Based on
results from model specification tests and prediction accuracy measures, the allocatable fixed input model dominates
both other models in explaining multicrop water allocation. In addition, the paper presents an alternative approach
to the study of deficient data on multicrop production. By transferring econometric results from analysis of
'non-deficient' crop-level data, input allocations in deficient data sets can be predicted.