Abstract
The nonlinear behaviour of four coffee price series is examined, that is, unwashed Arabicas (i.e. coffee from Brazil), Colombian Mild Arabicas (i.e. coffee from Colombia), other Mild Arabicas (i.e. coffee from other Latin American countries), and Robusta coffee (i.e. coffee from Africa and Southeast Asia). First is identified the cointegrating relationships and then that these enter the error correction equations in a nonlinear way is shown. The estimates suggest a rather common pattern of nonlinear adjustment for the same variety Arabica coffees.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 925-928 |
| Number of pages | 4 |
| Journal | Applied Economics Letters |
| Volume | 9 |
| Issue number | 14 |
| DOIs | |
| State | Published - Nov 15 2002 |
| Externally published | Yes |
All Science Journal Classification (ASJC) codes
- Economics and Econometrics
Fingerprint
Dive into the research topics of 'Smooth transition vector error correction models for the spot prices of coffee'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver