Fisheries, Environmental, Economic and Management data and models for area-time-species abundance, location choice, and RERUM, 2008-2018, Alaska

This project presents an empirical modeling approach for predicting the economic and ecological consequences of alternative halibut PSC management policies. There are three modeling efforts represented: area-time-species abundance, Rational Expectations Random Utility Maximization (RERUM) Estimator,...

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Bibliographic Details
Main Authors: Reimer, Matthew, Abbott, Joshua, Haynie, Alan
Format: Dataset
Language:English
Published: Axiom Data Science 2022
Subjects:
Tac
Online Access:https://dx.doi.org/10.24431/rw1k6c1
https://search.dataone.org/#view/10.24431/rw1k6c1
id ftdatacite:10.24431/rw1k6c1
record_format openpolar
spelling ftdatacite:10.24431/rw1k6c1 2023-05-15T15:43:53+02:00 Fisheries, Environmental, Economic and Management data and models for area-time-species abundance, location choice, and RERUM, 2008-2018, Alaska Reimer, Matthew Abbott, Joshua Haynie, Alan 2022 https://dx.doi.org/10.24431/rw1k6c1 https://search.dataone.org/#view/10.24431/rw1k6c1 en eng Axiom Data Science Dataset dataset 2022 ftdatacite https://doi.org/10.24431/rw1k6c1 2022-02-09T12:19:21Z This project presents an empirical modeling approach for predicting the economic and ecological consequences of alternative halibut PSC management policies. There are three modeling efforts represented: area-time-species abundance, Rational Expectations Random Utility Maximization (RERUM) Estimator, and RERUM Location Choice Data for the BSAI Groundfish Non-pollock Trawl Fleet. Fisheries, Environmental, Economic and Management data for model of area-time-species abundance. Bering Sea, Aleutian Islands and Golf of Alaska Areas. Daily data for specially defined areas. 2008-2018. Because of Research Workshop upload limits, output data is divided into two parts. AbundanceOutput_confidential_1.csv and AbundanceOutput_confidential_2.csv. These data should be combined rowise to use (append 2 on 1). Model input data and shapefiles are also provided. Modeling code for the Rational Expectations Random Utility Maximization (RERUM) estimator estimates the parameters of a spatiotemporal fishing behavior model that incorporates the dynamic and general equilibrium elements of fisheries with tradable short-term rights of annual catch entitlements. The RERUM estimator code is written in the MATLAB programming language. The RERUM location-choice model for the BSAI groundfish non-pollock trawl (i.e., the Amendment 80) fleet dataset is comprised of publicly available third-party data (e.g., species-specific TAC allocations), spatiotemporal estimates of CPUE (from our abundance model), and confidential data (e.g., location choices and harvests from the North Pacific observer program). Confidential data have been censored from the dataset. Dataset Bering Sea Alaska Aleutian Islands DataCite Metadata Store (German National Library of Science and Technology) Bering Sea Pacific Tac ENVELOPE(-59.517,-59.517,-62.500,-62.500)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
description This project presents an empirical modeling approach for predicting the economic and ecological consequences of alternative halibut PSC management policies. There are three modeling efforts represented: area-time-species abundance, Rational Expectations Random Utility Maximization (RERUM) Estimator, and RERUM Location Choice Data for the BSAI Groundfish Non-pollock Trawl Fleet. Fisheries, Environmental, Economic and Management data for model of area-time-species abundance. Bering Sea, Aleutian Islands and Golf of Alaska Areas. Daily data for specially defined areas. 2008-2018. Because of Research Workshop upload limits, output data is divided into two parts. AbundanceOutput_confidential_1.csv and AbundanceOutput_confidential_2.csv. These data should be combined rowise to use (append 2 on 1). Model input data and shapefiles are also provided. Modeling code for the Rational Expectations Random Utility Maximization (RERUM) estimator estimates the parameters of a spatiotemporal fishing behavior model that incorporates the dynamic and general equilibrium elements of fisheries with tradable short-term rights of annual catch entitlements. The RERUM estimator code is written in the MATLAB programming language. The RERUM location-choice model for the BSAI groundfish non-pollock trawl (i.e., the Amendment 80) fleet dataset is comprised of publicly available third-party data (e.g., species-specific TAC allocations), spatiotemporal estimates of CPUE (from our abundance model), and confidential data (e.g., location choices and harvests from the North Pacific observer program). Confidential data have been censored from the dataset.
format Dataset
author Reimer, Matthew
Abbott, Joshua
Haynie, Alan
spellingShingle Reimer, Matthew
Abbott, Joshua
Haynie, Alan
Fisheries, Environmental, Economic and Management data and models for area-time-species abundance, location choice, and RERUM, 2008-2018, Alaska
author_facet Reimer, Matthew
Abbott, Joshua
Haynie, Alan
author_sort Reimer, Matthew
title Fisheries, Environmental, Economic and Management data and models for area-time-species abundance, location choice, and RERUM, 2008-2018, Alaska
title_short Fisheries, Environmental, Economic and Management data and models for area-time-species abundance, location choice, and RERUM, 2008-2018, Alaska
title_full Fisheries, Environmental, Economic and Management data and models for area-time-species abundance, location choice, and RERUM, 2008-2018, Alaska
title_fullStr Fisheries, Environmental, Economic and Management data and models for area-time-species abundance, location choice, and RERUM, 2008-2018, Alaska
title_full_unstemmed Fisheries, Environmental, Economic and Management data and models for area-time-species abundance, location choice, and RERUM, 2008-2018, Alaska
title_sort fisheries, environmental, economic and management data and models for area-time-species abundance, location choice, and rerum, 2008-2018, alaska
publisher Axiom Data Science
publishDate 2022
url https://dx.doi.org/10.24431/rw1k6c1
https://search.dataone.org/#view/10.24431/rw1k6c1
long_lat ENVELOPE(-59.517,-59.517,-62.500,-62.500)
geographic Bering Sea
Pacific
Tac
geographic_facet Bering Sea
Pacific
Tac
genre Bering Sea
Alaska
Aleutian Islands
genre_facet Bering Sea
Alaska
Aleutian Islands
op_doi https://doi.org/10.24431/rw1k6c1
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