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Regional and international market integration of a small open economy

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Author Info
Sebastian Fossati () (University of Washington)
Fernando Lorenzo () (Centro de Investigaciones Económicas, Uruguay)
Cesar M. Rodríguez () (University of Pittsburgh)

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Abstract

This paper studies the relationship between a set of commodity prices in a small open economy like Uruguay and the corresponding international and regional prices. The empirical methodology used is the multivariate cointegration procedure based on maximum likelihood methods introduced by Johansen (1988) as well as estimations of half-life persistence indicators. In the case of cereals, the evidence suggests strong market integration between domestic and regional markets and, to some extent, also to international markets. Therefore, directly or indirectly, domestic prices are connected with the efficient price signal. Results for beef indicate strong market integration between the domestic market and the regional market, which is not so well connected with international markets. Thus, domestic price appears to be linked to a regional price that is not linked to the efficient price signal.

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File URL: http://www4.cema.edu.ar/pjae/m/147FossLorRod200705
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Publisher Info
Article provided by Universidad del CEMA in its journal Journal of Applied Economics.

Volume (Year): X (2007)
Issue (Month): (May)
Pages: 77-98
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Handle: RePEc:cem:jaecon:v:10:y:2007:n:1:p:77-98

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Related research
Keywords: commodity prices; law of one price; market integration; cointegration;

Find related papers by JEL classification:
C5 - Mathematical and Quantitative Methods - - Econometric Modeling
F15 - International Economics - - Trade - - - Economic Integration
Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices

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This page was last updated on 2009-11-2.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.