Estimation of Multicrop Production Functions
Richard E. Just, David Zilberman, Eithan Hochman
Abstract
Richard E. Just, David Zilberman, Eithan Hochman
Abstract
Abstract This paper considers whether separability or nonjointness is the better approach for attaining tractability for multicrop production function estimation. Characteristics of agricultural production associated with allocated inputs, physical constraints, and output determination imply sufficient nonjointness for estimation, whereas separability is less plausible. The paper also addresses estimation of production functions with allocated inputs where allocations are not observed and demonstrates a proposed approach by way of example.
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Abstract This paper considers whether separability or nonjointness is the better approach for attaining tractability for multicrop production function estimation. Characteristics of agricultural production associated with allocated inputs, physical constraints, and output determination imply sufficient nonjointness for estimation, whereas separability is less plausible. The paper also addresses estimation of production functions with allocated inputs where allocations are not observed and demonstrates a proposed approach by way of example.
Key concepts: Estimation, Production (economics), Function (biology), Econometrics, Agricultural productivity, Computer science, Mathematical optimization, Economics