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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.

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Paper provided by Cornell University, Department of Applied Economics and Management in its series Working Papers with number 51143.

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Date of creation: 29 Apr 2009
Date of revision:
Handle: RePEc:ags:cudawp:51143
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  10. 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.
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  12. Antonio Alvarez & Julio del Corral, 2010. "Identifying different technologies using a latent class model: extensive versus intensive dairy farms," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 37(2), pages 231-250, June.
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  16. Byma, Justin P. & Tauer, Loren W., 2010. "Exploring the Role of Managerial Ability in Influencing Dairy Farm Efficiency," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 39(3), October.
  17. Bernhard Brümmer & Thomas Glauben & Geert Thijssen, 2002. "Decomposition of Productivity Growth Using Distance Functions: The Case of Dairy Farms in Three European Countries," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(3), pages 628-644.
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