Warianty tytułu
Języki publikacji
Abstrakty
In this article an alternative method for analysis the integration of time series is proposed. The procedure is appropriate in the presence of outliers and was called 'linearized Dickey-Fuller test'. The method is based on the assumption that the data is generated by some ARIMA (Autoregressive integrated moving average) proces. In the first step, the outliers are identified on the basis of likelihood ratio tests, using REGARIMA model. Then, the estimated effect of outliers is removed from the data. In the last step, the Dickey-Fuller test is applied to the adjusted series. It is shown, via simulations, that the procedure leads to the unit root test with accurate finite sample size and considerably improved power.
Słowa kluczowe
Wydawca
Czasopismo
Rocznik
Tom
Numer
Strony
34-48
Opis fizyczny
Rodzaj publikacji
ARTICLE
Twórcy
autor
- K. Rosiak-Lada, c/o Uniwersytet Warszawski, Wydzial Nauk Ekonomicznych, ul. Dluga 44/50, 00-241 Warszawa, Poland
Bibliografia
Typ dokumentu
Bibliografia
Identyfikatory
CEJSH db identifier
08PLAAAA03697444
Identyfikator YADDA
bwmeta1.element.ef4e400a-75ee-3b22-8fe0-923f2b6d9e09