Modelling the US real GNP with fractionally integrated techniques
The US real GNP is analysed by means of fractionally integrated techniques. LM tests proposed by Robinson for testing unit roots and other fractionally integrated hypotheses are applied to the quarterly GNP series and to its log-transformation. The maximum likelihood estimation procedure of Sowell for estimating ARFIMA models is implemented. The results indicate that the order of integration of the US real output is much higher than one, and thus, the standard approach of taking first differences may still produce series with long memory behaviour.
Year of publication: |
2004
|
---|---|
Authors: | Gil-Alana, Luis |
Published in: |
Applied Economics. - Taylor & Francis Journals, ISSN 0003-6846. - Vol. 36.2004, 8, p. 873-879
|
Publisher: |
Taylor & Francis Journals |
Saved in:
Saved in favorites
Similar items by person
-
The effect of the Covid-19 pandemic on tourism in Africa
Mudida, Robert, (2024)
-
The nature of occupational unemployment rates in the United States: hysteresis or structural?
Candelon, Bertrand, (2008)
-
Long memory in the ukrainian stock market and financial crises
Maria Caporale, Guglielmo, (2013)
- More ...