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Distribution free goodness-of-fit tests for linear processes

Delgado, Miguel A., Hidalgo, Javier and Velasco, Carlos (2005) Distribution free goodness-of-fit tests for linear processes. EM (482). Suntory and Toyota International Centres for Economics and Related Disciplines, London, UK.

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This article proposes a class of goodness-of-fit tests for the autocorrelation function of a time series process, including those exhibiting long-range dependence. Test statistics for composite hypotheses are functionals of a (approximated) martingale transformation of the Bartlett’s Tp-process with estimated parameters, which converges in distribution to the standard Brownian Motion under the null hypothesis. We discuss tests of different nature such as omnibus, directional and Portmanteau-type tests. A Monte Carlo study illustrates the performance of the different tests in practice.

Item Type: Monograph (Discussion Paper)
Official URL:
Additional Information: © 2005 Miguel A.Delgado, Javier Hidalgo and Carlos Velasco
Divisions: Economics
Subjects: H Social Sciences > HB Economic Theory
Q Science > QA Mathematics
JEL classification: C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods: General > C14 - Semiparametric and Nonparametric Methods
C - Mathematical and Quantitative Methods > C2 - Econometric Methods: Single Equation Models; Single Variables > C22 - Time-Series Models
Date Deposited: 09 Jul 2008 13:59
Last Modified: 16 May 2024 11:38

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