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 School of Economics and Political Science, London, UK.
Download (529Kb) | Preview
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)|
|Additional Information:||© 2005 Miguel A.Delgado, Javier Hidalgo and Carlos Velasco|
|Library of Congress subject classification:||H Social Sciences > HB Economic Theory
Q Science > QA Mathematics
|Journal of Economic Literature Classification System:||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
|Sets:||Collections > Economists Online
Departments > Economics
Research centres and groups > Suntory and Toyota International Centres for Economics and Related Disciplines (STICERD)
|Date Deposited:||09 Jul 2008 13:59|
Actions (login required)
|Record administration - authorised staff only|