Autore
Paruolo, PaoloTitolo
Finite sample comparison of alternative tests on the rank of a cointegration submatrixPeriodico
Università degli Studi dell'Insubria. Dipartimento di Economia. Quaderni di ricercaAnno:
2006 - Fascicolo:
6 - Pagina iniziale:
1 - Pagina finale:
19This paper compares the finite sample performance of alternative tests for
rank-deficiency of a submatrix of the cointegrating matrix. The paper focuses
on the (implementation of the) likelihood ratio test proposed in Paruolo (2007,
Oxford Bulletin of Economics and Statistics), and compares its finite sample
performance with the ones of alternative tests proposed in Saikkonen (1999,
Econometric Reviews) and Kurozumi (2005, Econometric Theory). All the
tests have well-documented limit distributions; their finite sample performance is analyzed in this paper through a Monte Carlo simulation study. We use the Monte Carlo design used in Lukkonen, Ripatti and Saikkonen (1999, Journal of Business and Economic Statistics). It is found that the LR and the Kurozumi test perform remarkably better than the alternatives, with a marginal advantage of the LR test. The paper also investigates the properties and the numerical performance of the alternating maximization algorithm that is employed to maximize the likelihood under the null. Alternative ways to choose its starting values are also discussed. In the simulations it is found that the algorithm requires a few iterations when the null is correctly specified and a rather limited number of iteration in 90% of the other cases. The choice of starting values is found to have a significant effect on the number of iteration required by the algorithm.
Testo completo:
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