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Identifying technically efficient fishing vessels: a non-empty, minimal subset approach

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Author Info
Alfonso Flores-Lagunes (Department of Economics, University of Arizona, Tucson, Arizona, USA)
William C. Horrace (Center for Policy Research, Syracuse University, Syracuse, New York, USA)
Kurt E. Schnier (Department of Environmental and Natural Resource Economics, University of Rhode Island, Kingston, Rhode Island, USA)

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Abstract

Stochastic frontier models are often employed to estimate fishing vessel technical efficiency. Under certain assumptions, these models yield efficiency measures that are means of truncated normal distributions. We argue that these measures are flawed, and use the results of Horrace (2005) to estimate efficiency for 39 vessels in the Northeast Atlantic herring fleet, based on each vessel's probability of being efficient. We develop a subset selection technique to identify groups of efficient vessels at pre-specified probability levels. When homogeneous production is assumed, inferential inconsistencies exist 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. Copyright © 2007 John Wiley & Sons, Ltd.

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File URL: http://hdl.handle.net/10.1002/jae.942
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File URL: http://qed.econ.queensu.ca:80/jae/2007-v22.4/
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Publisher Info
Article provided by John Wiley & Sons, Ltd. in its journal Journal of Applied Econometrics.

Volume (Year): 22 (2007)
Issue (Month): 4 ()
Pages: 729-745
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Handle: RePEc:jae:japmet:v:22:y:2007:i:4:p:729-745

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Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Kurt E. Schnier & Christopher M. Anderson & William C. Horrace, 2006. "Estimating Heterogeneous Production in Fisheries," Center for Policy Research Working Papers 80, Center for Policy Research, Maxwell School, Syracuse University. [Downloadable!]
  2. Carmen Fernandez & Gary Koop & Mark F.J. Steel, 2002. "Multiple-Output Production With Undesirable Outputs: An Application to Nitrogen Surplus in Agriculture," Econometrics 0201001, EconWPA, revised 06 Jan 2002. [Downloadable!]
    Other versions:
  3. William C. Horrace & Joseph T. Marchand & Timothy M. Smeeding, 2006. "Ranking Inequality: Applications of Multivariate Subset Selection," Working Papers 21, ECINEQ, Society for the Study of Economic Inequality. [Downloadable!]
    Other versions:
  4. Battese, G E & Coelli, T J, 1995. "A Model for Technical Inefficiency Effects in a Stochastic Frontier Production Function for Panel Data," Empirical Economics, Springer, vol. 20(2), pages 325-32.
  5. William C. Horrace & Peter Schmidt, 2002. "Confidence Statements for Efficiency Estimates from Stochastic Frontier Models," Econometrics 0206006, EconWPA. [Downloadable!]
  6. Horrace, William C., 2005. "On ranking and selection from independent truncated normal distributions," Journal of Econometrics, Elsevier, vol. 126(2), pages 335-354, June. [Downloadable!] (restricted)
    Other versions:
  7. Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-44, June. [Downloadable!] (restricted)
  8. 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. [Downloadable!] (restricted)
  9. William C. Horrace & Peter Schmidt, 2000. "Multiple comparisons with the best, with economic applications," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(1), pages 1-26. [Downloadable!]
  10. Battese, George E. & Coelli, Tim J., 1988. "Prediction of firm-level technical efficiencies with a generalized frontier production function and panel data," Journal of Econometrics, Elsevier, vol. 38(3), pages 387-399, July. [Downloadable!] (restricted)
  11. Koop, Gary & Osiewalski, Jacek & Steel, Mark F. J., 1997. "Bayesian efficiency analysis through individual effects: Hospital cost frontiers," Journal of Econometrics, Elsevier, vol. 76(1-2), pages 77-105. [Downloadable!] (restricted)
  12. Efthymios G. Tsionas, 2002. "Stochastic frontier models with random coefficients," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(2), pages 127-147. [Downloadable!]
  13. Kirkley, James & Paul, Catherine J. Morrison & Squires, Dale, 2004. "Deterministic and Stochastic Capacity Estimation for Fishery Capacity Reduction," Marine Resource Economics, Marine Resources Foundation, vol. 19(3). [Downloadable!]
  14. James Kirkley & Catherine Morrison Paul & Dale Squires, 2002. "Capacity and Capacity Utilization in Common-pool Resource Industries," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 22(1), pages 71-97, June. [Downloadable!] (restricted)
  15. Pascoe, Sean & Coglan, Louisa, 2002. " The Contribution of Unmeasurable Inputs to Fisheries Production: An Analysis of Technical Efficiency of Fishing Vessels in the English Channel," American Journal of Agricultural Economics, American Agricultural Economics Association, vol. 84(3), pages 585-97, August. [Downloadable!] (restricted)
  16. Guyader, Olivier & Daures, Fabienne & Fifas, Spyros & Ifremer, 2004. "A Bioeconomic Analysis Of The Impact Of Decommissioning Programs: Application To A Limited-Entry French Scallop Fishery," Marine Resource Economics, Marine Resources Foundation, vol. 19(2). [Downloadable!]
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