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- URN to cite this document:
- urn:nbn:de:bvb:355-epub-272697
- DOI to cite this document:
- 10.5283/epub.27269
Alternative links to fulltext:Repec
Abstract
Fractionally integrated vector autoregressive models allow to capture persistence in time series data in a very flexible way. Additional flexibility for the short memory properties of the model can be attained by using the fractional lag perator of Johansen (2008) in the vector autoregressive polynomial. However, it also makes maximum likelihood estimation more diffcult. In this paper we first ...

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