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Maximum Likelihood Estimation of Cointegrated Systems with Higher Order Integrated Variables and Asymptotic Equivalence with Generalised Least Squares

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Author Info
Jaya Krishnakumar
El-Hadji Gueye
Abstract

This paper is concerned with the estimation of cointegrated systems with integrated variables of order greater than 1. Unlike the case of I(1) variables, there are various possibilities of cointegration in the higher order case, which were conveniently formulated in a triangular representation and estimated by Ordinary Least Squares (OLS) and Generalised Least Squares (GLS) by STock and Watson (1993). Starting from this triangular representation, we derive an error correction model that already incroporates the diffrent cointegration restrictions and apply maximum likelihood to estimate the parameters.

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Publisher Info
Paper provided by Département d'Econométrie, Université de Genève in its series Cahiers du Département d'Econométrie with number 98.05.

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Length: 47 pages
Date of creation: 1998
Date of revision:
Handle: RePEc:gen:geneem:98.05

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Related research
Keywords: Unit Roots ; Cointegration ; Models ; Maximum Likelihood ; Evaluation;

Find related papers by JEL classification:
C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Estimation
C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions

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