Detecting Technological Heterogeneity in New York Dairy Farms
AbstractAgricultural studies have often differentiated and estimated different technologies within a sample of farms. The common approach is to use observable farm characteristics to split the sample into several groups and subsequently estimate different functions for each group. Alternatively, unique technologies can be determined by econometric procedures such as latent class models. This paper compares the results of a latent class model with the use of a priori information to split the sample using dairy farm data in the application. Latent class separation appears to be a superior method of separating heterogeneous technologies.
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Bibliographic InfoPaper provided by Cornell University, Department of Applied Economics and Management in its series Working Papers with number 51143.
Date of creation: 29 Apr 2009
Date of revision:
parlor milking system; stanchion milking system; latent class model; stochastic frontier; Agribusiness; Farm Management;
Other versions of this item:
- del Corral, Julio & Alvarez, Antonio & Tauer, Loren W., 2009. "Detecting Technological Heterogeneity in New York Dairy Farms," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49293, Agricultural and Applied Economics Association.
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