Estimating Heterogeneous Production in Fisheries
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,...
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ftciteseerx:oai:CiteSeerX.psu:10.1.1.528.2430 2023-05-15T17:41:17+02:00 Estimating Heterogeneous Production in Fisheries Kurt E. Schnier Christopher M. Anderson William C. Horrace The Pennsylvania State University CiteSeerX Archives application/pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.528.2430 http://faculty.maxwell.syr.edu/whorrace/workingpapers/FINAL_AJAE_5084.pdf en eng http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.528.2430 http://faculty.maxwell.syr.edu/whorrace/workingpapers/FINAL_AJAE_5084.pdf Metadata may be used without restrictions as long as the oai identifier remains attached to it. http://faculty.maxwell.syr.edu/whorrace/workingpapers/FINAL_AJAE_5084.pdf text ftciteseerx 2016-01-08T10:27:03Z 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. Text Northeast Atlantic Unknown |
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English |
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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. |
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The Pennsylvania State University CiteSeerX Archives |
format |
Text |
author |
Kurt E. Schnier Christopher M. Anderson William C. Horrace |
spellingShingle |
Kurt E. Schnier Christopher M. Anderson William C. Horrace Estimating Heterogeneous Production in Fisheries |
author_facet |
Kurt E. Schnier Christopher M. Anderson William C. Horrace |
author_sort |
Kurt E. Schnier |
title |
Estimating Heterogeneous Production in Fisheries |
title_short |
Estimating Heterogeneous Production in Fisheries |
title_full |
Estimating Heterogeneous Production in Fisheries |
title_fullStr |
Estimating Heterogeneous Production in Fisheries |
title_full_unstemmed |
Estimating Heterogeneous Production in Fisheries |
title_sort |
estimating heterogeneous production in fisheries |
url |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.528.2430 http://faculty.maxwell.syr.edu/whorrace/workingpapers/FINAL_AJAE_5084.pdf |
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Northeast Atlantic |
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Northeast Atlantic |
op_source |
http://faculty.maxwell.syr.edu/whorrace/workingpapers/FINAL_AJAE_5084.pdf |
op_relation |
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.528.2430 http://faculty.maxwell.syr.edu/whorrace/workingpapers/FINAL_AJAE_5084.pdf |
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Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
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1766142748205776896 |