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 adjus...

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Autores Principales: Otero, Jesus, Argüello R., Oviedo, Juan, Ramírez M.
Formato: Artículo (Article)
Lenguaje:Inglés (English)
Publicado: Elsevier B.V. 2018
Materias:
Acceso en línea:https://repository.urosario.edu.co/handle/10336/23890
https://doi.org/10.1016/j.econmod.2018.01.017
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recordtype dspace
spelling ir-10336-238902021-09-16T11:40:30Z Explaining coffee price differentials in terms of chemical markers: Evidence from a pairwise approach Otero, Jesus Argüello R. Oviedo, Juan Ramírez M. Chemical markers Coffee Price differentials Quality differences "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." 2018 2020-05-26T00:06:25Z info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion 2649993 https://repository.urosario.edu.co/handle/10336/23890 https://doi.org/10.1016/j.econmod.2018.01.017 eng info:eu-repo/semantics/openAccess application/pdf Elsevier B.V. instname:Universidad del Rosario reponame:Repositorio Institucional EdocUR
institution EdocUR - Universidad del Rosario
collection DSpace
language Inglés (English)
topic Chemical markers
Coffee
Price differentials
Quality differences
spellingShingle Chemical markers
Coffee
Price differentials
Quality differences
Otero, Jesus
Argüello R.
Oviedo, Juan
Ramírez M.
Explaining coffee price differentials in terms of chemical markers: Evidence from a pairwise approach
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."
format Artículo (Article)
author Otero, Jesus
Argüello R.
Oviedo, Juan
Ramírez M.
author_facet Otero, Jesus
Argüello R.
Oviedo, Juan
Ramírez M.
author_sort Otero, Jesus
title Explaining coffee price differentials in terms of chemical markers: Evidence from a pairwise approach
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
publisher Elsevier B.V.
publishDate 2018
url https://repository.urosario.edu.co/handle/10336/23890
https://doi.org/10.1016/j.econmod.2018.01.017
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score 11,828437