Explaining coffee price differentials in terms of chemical markers: Evidence from a pairwise approach

We use time-series and cross-section methods to study long-term relationships between pairs of coffee prices, and assess how chemical, institutional and market factors affect the likelihood of finding stationary price differentials, the magnitude of such differentials, and their speed of adjustment....

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Tipo de recurso:
Fecha de publicación:
2018
Institución:
Universidad del Rosario
Repositorio:
Repositorio EdocUR - U. Rosario
Idioma:
eng
OAI Identifier:
oai:repository.urosario.edu.co:10336/23890
Acceso en línea:
https://doi.org/10.1016/j.econmod.2018.01.017
https://repository.urosario.edu.co/handle/10336/23890
Palabra clave:
Chemical markers
Coffee
Price differentials
Quality differences
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Abierto (Texto Completo)
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network_name_str Repositorio EdocUR - U. Rosario
repository_id_str
spelling 79242814600520f0e30-7290-452d-b509-023baa8f2d0779941641600213bad05-cfbd-4fbe-a2e3-dfe296d68f912020-05-26T00:06:25Z2020-05-26T00:06:25Z2018We use time-series and cross-section methods to study long-term relationships between pairs of coffee prices, and assess how chemical, institutional and market factors affect the likelihood of finding stationary price differentials, the magnitude of such differentials, and their speed of adjustment. Using an empirical approach which does not require classifying coffee varieties as reference and non-reference, we find that varieties with chemical similarity have prices which are more similar, more likely to maintain stable long-term relationships, and more quickly to adjust after a shock. © 2018 Elsevier B.V.application/pdfhttps://doi.org/10.1016/j.econmod.2018.01.0172649993https://repository.urosario.edu.co/handle/10336/23890engElsevier B.V.201190Economic ModellingVol. 72Economic Modelling, ISSN:2649993, Vol.72,(2018); pp. 190-201https://www.scopus.com/inward/record.uri?eid=2-s2.0-85042856642&doi=10.1016%2fj.econmod.2018.01.017&partnerID=40&md5=ca9a82887cc2469263046b376bcf9bd7Abierto (Texto Completo)http://purl.org/coar/access_right/c_abf2instname:Universidad del Rosarioreponame:Repositorio Institucional EdocURChemical markersCoffeePrice differentialsQuality differencesExplaining coffee price differentials in terms of chemical markers: Evidence from a pairwise approacharticleArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501Otero Cardona, Jesús GilbertoArgüello R.Oviedo Arango, Juan DanielRamírez M.10336/23890oai:repository.urosario.edu.co:10336/238902022-05-02 07:37:16.853952https://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.co
dc.title.spa.fl_str_mv Explaining coffee price differentials in terms of chemical markers: Evidence from a pairwise approach
title Explaining coffee price differentials in terms of chemical markers: Evidence from a pairwise approach
spellingShingle Explaining coffee price differentials in terms of chemical markers: Evidence from a pairwise approach
Chemical markers
Coffee
Price differentials
Quality differences
title_short Explaining coffee price differentials in terms of chemical markers: Evidence from a pairwise approach
title_full Explaining coffee price differentials in terms of chemical markers: Evidence from a pairwise approach
title_fullStr Explaining coffee price differentials in terms of chemical markers: Evidence from a pairwise approach
title_full_unstemmed Explaining coffee price differentials in terms of chemical markers: Evidence from a pairwise approach
title_sort Explaining coffee price differentials in terms of chemical markers: Evidence from a pairwise approach
dc.subject.keyword.spa.fl_str_mv Chemical markers
Coffee
Price differentials
Quality differences
topic Chemical markers
Coffee
Price differentials
Quality differences
description We use time-series and cross-section methods to study long-term relationships between pairs of coffee prices, and assess how chemical, institutional and market factors affect the likelihood of finding stationary price differentials, the magnitude of such differentials, and their speed of adjustment. Using an empirical approach which does not require classifying coffee varieties as reference and non-reference, we find that varieties with chemical similarity have prices which are more similar, more likely to maintain stable long-term relationships, and more quickly to adjust after a shock. © 2018 Elsevier B.V.
publishDate 2018
dc.date.created.spa.fl_str_mv 2018
dc.date.accessioned.none.fl_str_mv 2020-05-26T00:06:25Z
dc.date.available.none.fl_str_mv 2020-05-26T00:06:25Z
dc.type.eng.fl_str_mv article
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_6501
dc.type.spa.spa.fl_str_mv Artículo
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1016/j.econmod.2018.01.017
dc.identifier.issn.none.fl_str_mv 2649993
dc.identifier.uri.none.fl_str_mv https://repository.urosario.edu.co/handle/10336/23890
url https://doi.org/10.1016/j.econmod.2018.01.017
https://repository.urosario.edu.co/handle/10336/23890
identifier_str_mv 2649993
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.citationEndPage.none.fl_str_mv 201
dc.relation.citationStartPage.none.fl_str_mv 190
dc.relation.citationTitle.none.fl_str_mv Economic Modelling
dc.relation.citationVolume.none.fl_str_mv Vol. 72
dc.relation.ispartof.spa.fl_str_mv Economic Modelling, ISSN:2649993, Vol.72,(2018); pp. 190-201
dc.relation.uri.spa.fl_str_mv https://www.scopus.com/inward/record.uri?eid=2-s2.0-85042856642&doi=10.1016%2fj.econmod.2018.01.017&partnerID=40&md5=ca9a82887cc2469263046b376bcf9bd7
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.acceso.spa.fl_str_mv Abierto (Texto Completo)
rights_invalid_str_mv Abierto (Texto Completo)
http://purl.org/coar/access_right/c_abf2
dc.format.mimetype.none.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Elsevier B.V.
institution Universidad del Rosario
dc.source.instname.spa.fl_str_mv instname:Universidad del Rosario
dc.source.reponame.spa.fl_str_mv reponame:Repositorio Institucional EdocUR
repository.name.fl_str_mv Repositorio institucional EdocUR
repository.mail.fl_str_mv edocur@urosario.edu.co
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