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Estimating Heterogeneous Production in FisheriesKurt E. SchnierUniversity of Rhode Island - Department of Environmental and Natural Resource Economics Christopher M. AndersonUniversity of Rhode Island - Department of Environmental and Natural Resource Economics William C. HorraceSyracuse University - Department of Economics; National Bureau of Economic Research (NBER) March 1, 2006 Syracuse University Center for Policy Research Working Paper No. 80 Abstract: Stochastic production frontier models are used extensively in the agricultural and resource economics literature to estimate production functions and technical efficiency, as well as to guide policy. Traditionally these models assume that each agent’s production can be specified as a representative, homogeneous function. This paper proposes the synthesis of a latent class regression and an agricultural production frontier model to estimate technical efficiency while allowing for the possibility of production heterogeneity. We use this model to estimate a latent class production function and efficiency measures for vessels in the Northeast Atlantic herring fishery. Our results suggest that traditional measures of technical efficiency may be incorrect, if heterogeneity of agricultural production exists.
Number of Pages in PDF File: 39 Keywords: latent class regression, EC algorithm, stochastic production frontier, technical efficiency JEL Classification: D24, N52 working papers seriesDate posted: April 20, 2011Suggested CitationContact Information
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