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THREE ESSAYS ON ESTIMATION OF APPLIED ECONOMIC MODELS IN FISHERIES

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dc.contributor.advisorDaniel Lass
dc.contributor.advisorSylvia Brandt
dc.contributor.advisorJohn Staudenmayer
dc.contributor.authorBurns, Christopher
dc.contributor.departmentUniversity of Massachusetts Amherst
dc.date2024-03-27 18:37:04
dc.date.accessioned2024-04-26T16:11:18Z
dc.date.available2024-04-26T16:11:18Z
dc.date.issued2014
dc.date.submittedFebruary
dc.date.submitted2014
dc.description.abstractFishery managers face many challenges when setting effective policies. This includes working with fisherman to set the total allowable catch (TAC), preventing overfishing, and monitoring the status of a fishing industry based on imperfect data. This dissertation focuses on the last two issues. In particular we focus on how measurement error and estimation issues can impact fishery policy using two common economic models, the stochastic frontier model and the Schaefer production model. Both of these models use production data on inputs and outputs to estimate a production function. Using panel data from the Mid-Atlantic surfclam fishery from 2001-2009, Chapters 2 and 3 examine measurement error correction methods that policy makers can use when instrumental variables are not available. We examine this particular fishery because both logbook data from vessels, and scientific estimates of the biomass are available. In Chapters 2 and 3 we make use of estimates of the measurement error variance, and apply a simulation based correction method known as simulation extrapolation (SIMEX). SIMEX is a simulation based method for reducing bias in parameter estimates caused by measurement error. After estimating both models under a naive analysis, SIMEX is used to obtain less biased estimates of technical efficiency, production and biological parameters. In the last chapter we revisit the stochastic frontier model, estimating both a maximum likelihood and Bayesian model. We conclude the dissertation by discussing the results from each chapter, and their implications for fishery policy.
dc.description.degreeDoctor of Philosophy (PhD)
dc.description.departmentResource Economics
dc.identifier.doihttps://doi.org/10.7275/asbj-y423
dc.identifier.orcidN/A
dc.identifier.urihttps://hdl.handle.net/20.500.14394/19808
dc.relation.urlhttps://scholarworks.umass.edu/cgi/viewcontent.cgi?article=1081&context=dissertations_2&unstamped=1
dc.source.statuspublished
dc.subjectFishery Economics
dc.subjectStochastic Frontier Model
dc.subjectSchaefer Production Model
dc.subjectMeasurement Error
dc.subjectAgricultural and Resource Economics
dc.titleTHREE ESSAYS ON ESTIMATION OF APPLIED ECONOMIC MODELS IN FISHERIES
dc.typeopenaccess
dc.typedissertation
digcom.contributor.authorisAuthorOfPublication|email:cbburns@acad.umass.edu|institution:University of Massachusetts Amherst|Burns, Christopher
digcom.identifierdissertations_2/58
digcom.identifier.contextkey5447417
digcom.identifier.submissionpathdissertations_2/58
dspace.entity.typePublication
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