Detecting Technological Heterogeneity in New York Dairy Farms
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.
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- Ahmad, Munir & Boris E., Bravo-Ureta, 1995.
"An econometric decomposition of dairy output growth,"
37678, University Library of Munich, Germany.
- Munir Ahmad & Boris E. Bravo-Ureta, 1995. "An Econometric Decomposition of Dairy Output Growth," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 77(4), pages 914-921.
- Kompas, Tom & Che, Tuong Nhu, 2006.
"Technology choice and efficiency on Australian dairy farms,"
Australian Journal of Agricultural and Resource Economics,
Australian Agricultural and Resource Economics Society, vol. 50(1), March.
- Tom Kompas & Tuong Nhu Che, 2006. "Technology choice and efficiency on Australian dairy farms ," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 50(1), pages 65-83, 03.
- Luis Orea & Subal C. Kumbhakar, 2004. "Efficiency measurement using a latent class stochastic frontier model," Empirical Economics, Springer, vol. 29(1), pages 169-183, January.
- Carol Newman & Alan Matthews, 2006. "The productivity performance of Irish dairy farms 1984–2000: a multiple output distance function approach," Journal of Productivity Analysis, Springer, vol. 26(2), pages 191-205, October.
- Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
- Kelvin Balcombe & Iain Fraser & Mizanur Rahman & Laurence Smith, 2007. "Examining the technical efficiency of rice producers in Bangladesh," Journal of International Development, John Wiley & Sons, Ltd., vol. 19(1), pages 1-16.
- Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
- Nobuhiko Fuwa & Christopher Edmonds & Pabitra Banik, 2007. "Are small-scale rice farmers in eastern India really inefficient? Examining the effects of microtopography on technical efficiency estimates," Agricultural Economics, International Association of Agricultural Economists, vol. 36(3), pages 335-346, 05.
- Greene, William, 2005. "Reconsidering heterogeneity in panel data estimators of the stochastic frontier model," Journal of Econometrics, Elsevier, vol. 126(2), pages 269-303, June.
- Tauer, Loren W., 1993. "Short-Run And Long-Run Efficiencies Of New York Dairy Farms," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 22(1), April.
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