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Smooth Transition Vector Error Correction Models for the Spot Prices of Coffee

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Author Info
Milas, Costas
Otero, Jesus

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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. Copyright 2002 by Taylor and Francis Group

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Publisher Info
Article provided by Taylor and Francis Journals in its journal Applied Economics Letters.

Volume (Year): 9 (2002)
Issue (Month): 14 (November)
Pages: 925-28
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Handle: RePEc:taf:apeclt:v:9:y:2002:i:14:p:925-28

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  1. Costas Milas & Jesús Otero & Theodore Panagiotidis, 2004. "Forecasting the spot prices of various coffee types using linear and non-linear error correction models," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 9(3), pages 277-288. [Downloadable!]
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