Detecting Technological Heterogeneity in New York Dairy Farms

Julio del Corral, Antonio Alvarez and Loren W. Tauer

No 51143, Working Papers from Cornell University, Department of Applied Economics and Management

Abstract: Agricultural 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.

Keywords: Agribusiness; Farm Management (search for similar items in EconPapers)
Pages: 26
Date: 2009-04-29
New Economics Papers: this item is included in nep-eff
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Citations: View citations in EconPapers (8)

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https://ageconsearch.umn.edu/record/51143/files/WP%202009-16final.pdf (application/pdf)

Related works:
Journal Article: Modeling Unobserved Heterogeneity in New York Dairy Farms: One-Stage versus Two-Stage Models (2012)
Working Paper: Detecting Technological Heterogeneity in New York Dairy Farms (2009)
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Persistent link: https://EconPapers.repec.org/RePEc:ags:cudawp:51143

DOI: 10.22004/ag.econ.51143

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