This Paper Proposes Some New Tests for Detecting the Presence of a Unit Root in Quite General Time Series Modesl. Our Approach Is Nonparametric with Respect to Nuisance Parameters and Thereby Allows for a Very Wide Class of Weakly Dependent and Possibly Heterogeneously Distributed Data. the Tests Accomodate Models with a Fitted Drift and a Time Trend So That They May Be Used to Discriminate Between Unit Root Nonstationarity and Stationarity About a Deterministic Trend. the Limiting Distributions of the Statistics Are Obtained Under Both the Unit Root Null and a Sequence of Local Alternatives. Th Latter Noncentral Distribution Theory Yields Local Asymptotic Power Functions for the Tests. These Are Compared with Alternative Procedures Due to Dickey and Fuller. an Exemple Is Provided.
Download Info
To our knowledge, this item is not available for
download. To find whether it is available, there are three
options:
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page
whether it is in fact available.
3. Perform a search for a similarly titled item that would be
available.
Publisher Info
Paper provided by Universite de Montreal, Departement de sciences economiques in its series Cahiers de recherche with number
8633.
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
Cited by: (explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.) This item has more than 25 citations. To prevent cluttering this page, these citations are listed on a separate page.