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Nonlinear Error Correction Models With an Application to Commodity Prices

Brazilian Review of Econometrics

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Field Value
 
Title Nonlinear Error Correction Models With an Application to Commodity Prices

 
Creator Medeiros, Marcelo C; PUC-Rio
Magri, Rafael
 
Subject cointegration;nonlinear models;linearity testing;asymptotic theory.
C12;C13;C32


 
Description Existing tests for nonlinearity in vector error correction models are highly intensive computationally and have nuisance parameters in the asymptotic distribution, what calls for cumbersome bootstrap calculations in order to assess the distribution. Our work proposes a consistent test which is implementable in any statistical package and has Chi-Squared asymptotics. Moreover,Monte Carlo experiments show that in small samples our test has nice size and power properties, often better than the preexisting tests. We also provide a condition under which a two step estimator for the model parameters is consistent and asymptotically normal. Application to international agricultural commodities prices show evidence of nonlinear adjustment to the long run equilibrium on the wheat prices.

 
Publisher Sociedade Brasileira de Econometria
 
Contributor CNPq

 
Date 2013-11-24
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion


 
Format application/pdf
 
Identifier http://bibliotecadigital.fgv.br/ojs/index.php/bre/article/view/24116
10.12660/bre.v33n22013.24116
 
Source Brazilian Review of Econometrics; Vol 33, No 2 (2013); 145-170
Brazilian Review of Econometrics; Vol 33, No 2 (2013); 145-170
1980-2447
 
Language eng
 
Relation http://bibliotecadigital.fgv.br/ojs/index.php/bre/article/view/24116/33892