Testing for ARCH in ARCH-in-Mean Model
Param Silvapulle,
Mervyn Silvapulle and
A Beg
Additional contact information
Param Silvapulle: School of Economics, La Trobe University
Mervyn Silvapulle: School of Economics, La Trobe University
A Beg: School of Economics, La Trobe University
No 1997.24, Working Papers from School of Economics, La Trobe University
Abstract:
An issue that arises in applications involving the ARCH-in-Mean (ARCH-M) model is whether or not the error variance is constant over time. A proper statistical formulation of this as a test of hypothesis presents two difficulties. First, the model does not satisfy the standard regularity conditions because a nuisance parameter becomes unidentified under the null hypothesis and consequently the usual tests, such as the Lagrange Multiplier test, and their distribution theory require modification.
Keywords: Models; Testing (search for similar items in EconPapers)
Pages: 18 pages
Date: 1997
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
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:trb:wpaper:1997.24
Access Statistics for this paper
More papers in Working Papers from School of Economics, La Trobe University Contact information at EDIRC.
Bibliographic data for series maintained by Stephen Scoglio ( this e-mail address is bad, please contact ).