The ARAR Error Model for Univariate Time Series and Distributed Lag Models

Richard (Robin) Carter and Arnold Zellner

No 20025, University of Western Ontario, Departmental Research Report Series from University of Western Ontario, Department of Economics

Abstract: We show that the use of prior information derived from former empirical findings and/or subject matter theory regarding the lag structure of the observable variables together with an AR process for the error terms can produce univariate and single equation models that are intuitively appealing, simple to implement, and work well in practice.

Date: 2002
New Economics Papers: this item is included in nep-ecm and nep-ets
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://ir.lib.uwo.ca/cgi/viewcontent.cgi?article=1388&context=economicsresrpt (application/pdf)
Our link check indicates that this URL is bad, the error code is: 403 Forbidden

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:uwo:uwowop:20025

Ordering information: This working paper can be ordered from
https://economics.uw ... itting_ordering.html
The price is Paper copy available by mail at a cost of $10.00 Canadian each.

Access Statistics for this paper

More papers in University of Western Ontario, Departmental Research Report Series from University of Western Ontario, Department of Economics Department of Economics, Social Science Centre, University of Western Ontario, London, Ontario, Canada N6A 5C2.
Bibliographic data for series maintained by ().