A comparison of mixed logit and latent class models to estimate market segments for seafood faced with ocean acidification

Bibliographic Details
Published in:Aquaculture Economics & Management
Main Authors: Campos-Requena, Nelyda, Vásquez-Lavin, Felipe, Fernández, Francisco, Barrientos, Manuel, Gelcich, Stefan, Oliva, Roberto D. Ponce
Format: Article in Journal/Newspaper
Language:English
Published: Informa UK Limited 2022
Subjects:
Ocean acidification
Online Access:http://dx.doi.org/10.1080/13657305.2022.2100005
https://www.tandfonline.com/doi/pdf/10.1080/13657305.2022.2100005
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spelling crinformauk:10.1080/13657305.2022.2100005 2024-06-02T08:12:28+00:00 A comparison of mixed logit and latent class models to estimate market segments for seafood faced with ocean acidification Campos-Requena, Nelyda Vásquez-Lavin, Felipe Fernández, Francisco Barrientos, Manuel Gelcich, Stefan Oliva, Roberto D. Ponce 2022 http://dx.doi.org/10.1080/13657305.2022.2100005 https://www.tandfonline.com/doi/pdf/10.1080/13657305.2022.2100005 en eng Informa UK Limited Aquaculture Economics & Management volume 27, issue 2, page 282-314 ISSN 1365-7305 1551-8663 journal-article 2022 crinformauk https://doi.org/10.1080/13657305.2022.2100005 2024-05-06T06:48:00Z Article in Journal/Newspaper Ocean acidification Informa Aquaculture Economics & Management 1 33
institution Open Polar
collection Informa
op_collection_id crinformauk
language English
format Article in Journal/Newspaper
author Campos-Requena, Nelyda
Vásquez-Lavin, Felipe
Fernández, Francisco
Barrientos, Manuel
Gelcich, Stefan
Oliva, Roberto D. Ponce
spellingShingle Campos-Requena, Nelyda
Vásquez-Lavin, Felipe
Fernández, Francisco
Barrientos, Manuel
Gelcich, Stefan
Oliva, Roberto D. Ponce
A comparison of mixed logit and latent class models to estimate market segments for seafood faced with ocean acidification
author_facet Campos-Requena, Nelyda
Vásquez-Lavin, Felipe
Fernández, Francisco
Barrientos, Manuel
Gelcich, Stefan
Oliva, Roberto D. Ponce
author_sort Campos-Requena, Nelyda
title A comparison of mixed logit and latent class models to estimate market segments for seafood faced with ocean acidification
title_short A comparison of mixed logit and latent class models to estimate market segments for seafood faced with ocean acidification
title_full A comparison of mixed logit and latent class models to estimate market segments for seafood faced with ocean acidification
title_fullStr A comparison of mixed logit and latent class models to estimate market segments for seafood faced with ocean acidification
title_full_unstemmed A comparison of mixed logit and latent class models to estimate market segments for seafood faced with ocean acidification
title_sort comparison of mixed logit and latent class models to estimate market segments for seafood faced with ocean acidification
publisher Informa UK Limited
publishDate 2022
url http://dx.doi.org/10.1080/13657305.2022.2100005
https://www.tandfonline.com/doi/pdf/10.1080/13657305.2022.2100005
genre Ocean acidification
genre_facet Ocean acidification
op_source Aquaculture Economics & Management
volume 27, issue 2, page 282-314
ISSN 1365-7305 1551-8663
op_doi https://doi.org/10.1080/13657305.2022.2100005
container_title Aquaculture Economics & Management
container_start_page 1
op_container_end_page 33
_version_ 1800758907955576832

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