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....
- Autores:
- 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
- Rights
- License
- Abierto (Texto Completo)
| Summary: | 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. |
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