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Автор francq, christian
Автор zakoïan, jean-michel
Дата выпуска 2005
dc.description conditions ensuring a central limit theorem for strongly mixing triangular arrays are given. larger samples can show longer range dependence than shorter samples. the result is obtained by constraining the rate growth of dependence as a function of the sample size, with the usual trade-off of memory and moment conditions. an application to heteroskedasticity and autocorrelation consistent estimators is proposed.
Издатель cambridge university press
Название a central limit theorem for mixing triangular arrays of variables whose dependence is allowed to grow with the sample size
DOI 10.1017/s0266466605050577
Electronic ISSN 1469-4360
Print ISSN 0266-4666
Журнал Econometric Theory
Том 21
Первая страница 1165
Последняя страница 1171
Аффилиация francq christian; université lille iii; université lille iii
Аффилиация zakoïan jean-michel; crest; crest
Выпуск 6

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