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

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Abstract

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.

Translated title of the contributionExplicación de las diferencias de precios del café en términos de marcadores químicos: Evidencia de un enfoque de pareja
Original languageEnglish
Pages (from-to)190-201
Number of pages12
JournalEconomic Modelling
Volume72
DOIs
StatePublished - Jun 2018

All Science Journal Classification (ASJC) codes

  • Economics and Econometrics

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