Temporal aggregation in first order cointegrated vector autoregressive
We study aggregation - or sample frequencies - of time series, e.g. aggregation from weekly to monthly or quarterly time series. Aggregation usually gives shorter time series but spurious phenomena, in e.g. daily observations, can on the other hand be avoided. An important issue is the effect of aggregation on the adjustment coefficient in cointegrated systems. We study only first order vector autoregressive processes for n dimensional time series Xt, and we illustrate the theory by a two dimensional and a four dimensional model for prices of various grades of gasoline.
|Date of creation:||01 Jan 2006|
|Date of revision:|
|Contact details of provider:|| Postal: |
Phone: 38 15 25 75
Fax: 38 15 34 99
Web page: http://www.cbs.dk/departments/econ/
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:hhs:cbsnow:2006_014. 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: (Lars Nondal)
If references are entirely missing, you can add them using this form.