Una extension de la regresion propuesta por Geweke y Porter-Hudak para la estimacion del orden de diferenciacion en modelos ARFIMA
Over the last years there has been considerable interest in the application of long memory time series models in economics using ARFIMA models. Nowadays, the most popular estimator of the difference parameter in economic applications is that proposed by Geweke and Porter-Hudak (GPH) although has been shown that, in particular circumstances, this estimator can be badly biased. So we propose a biased-corrected extension of that estimator using the exponential model proposed by Bloomfield. The performance of both estimators are investigated for moderate-size samples and it is concluded that the extension proposed has smaller mean squared error than the GPH estimator.
To our knowledge, this item is not available for
download. To find whether it is available, there are three
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.
|Date of creation:||2000|
|Date of revision:|
|Contact details of provider:|| Postal: Espai de Recerca en Economia, Facultat de CiÃ¨ncies EconÃ²miques. Tinent Coronel Valenzuela, Num 1-11 08034 Barcelona. Spain.|
Phone: +34 93 402 43 13cazza
Web page: http://www.ere.ub.es
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:bar:bedcje:200061. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Espai de Recerca en Economia)
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.