Time-varying parameter error correction models: the demand for money in Venezuela, 1983.I-1994.IV
The possibility of using time-varying parameter models in the context of error correction models is studied empirically. As an application, a money demand relationship (M1) for Venezuela is estimated from 1983 to 1994 within a cointegrated VAR framework. First, the stochastic properties of the series are analysed, studying each corresponding order of integration. Second, the existence of a long-run stable relation between the variables involved has been investigated, and then the cointegration relation and the short-run adjustment mechanism estimated. As both relations are identified in the context of constant parameters a stability analysis is performed. Finally, the technique of Kalman filtering is used to estimate a model that permits the short-run parameters to vary, while the parameters of the long-run relation are kept constant.
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Volume (Year): 33 (2001)
Issue (Month): 6 ()
|Contact details of provider:|| Web page: http://www.tandfonline.com/RAEC20|
|Order Information:||Web: http://www.tandfonline.com/pricing/journal/RAEC20|
When requesting a correction, please mention this item's handle: RePEc:taf:applec:v:33:y:2001:i:6:p:771-782. 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: (Michael McNulty)
If references are entirely missing, you can add them using this form.