From short to long memory: Aggregation and estimation
Jan Beran,
Martin Schützner and
Sucharita Ghosh
Computational Statistics & Data Analysis, 2010, vol. 54, issue 11, 2432-2442
Abstract:
Contemporaneous aggregation of asymptotically stationary AR(1) processes is considered where the squared random coefficients are beta-distributed. Based on the sample correlation coefficients for the individual AR(1) processes, an estimator for the parameters of the underlying beta distribution, and thus for the long memory parameter of the aggregated process, is introduced. Consistency and asymptotic normality are derived and the new estimator is shown to be asymptotically equivalent to the maximum likelihood estimator of the beta distribution.
Date: 2010
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Persistent link: https://EconPapers.repec.org/RePEc:eee:csdana:v:54:y:2010:i:11:p:2432-2442
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