Detecting Technological Heterogeneity in New York Dairy Farms
del Corral, Julio; Alvarez, Antonio; Tauer, Loren W.
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.
WP 2009-16 April 2009
Charles H. Dyson School of Applied Economics and Management, Cornell University
parlor milking system; stanchion milking system; latent class model; stochastic frontier