Document Type
Article
Date
3-1-2006
Keywords
tbd
Disciplines
Economics
Description/Abstract
There is a growing resource economics literature, concerning the estimation of the technical efficiency of fishing vessels utilizing the stochastic frontier model. In these models, vessel output is regressed on a linear function of vessel inputs and a random composed error. Using parametric assumptions on the regression residual, estimates of vessel technical efficiency are calculated as the mean of a truncated normal distribution and are often reported in a rank statistic as a measure of a captain’s skill and used to estimate excess capacity within fisheries. We demonstrate analytically that these measures are potentially flawed, and extend the results of Horrace (2005) to estimate captain skill for thirty nine vessels in the Northeast Atlantic herring fleet, based on homogenous and heterogeneous production functions within the fleet. When homogenous production is assumed, we find inferential inconsistencies between our methods and the methods of ranking the means of the technical inefficiency distributions for each vessel. When production is allowed to be heterogeneous, these inconsistencies are mitigated.
Recommended Citation
Horrace, William C.; Schnier, Kurt E.; and Flores-Lagunes, Alfonso, "Identifying Technically Efficient Fishing Vessels: A Non-Empty, Minimal Subset Approach" (2006). Economics - All Scholarship. 130.
https://surface.syr.edu/ecn/130
Source
Harvested from ssrn.com
Additional Information
This manuscript is from the Social Science Research Network, for more information see http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1815259#280291