Estimation in Semiparametric Time Series Regression
Jia Chen,
Jiti Gao and
Degui Li
No 2010-27, Adelaide Economics Working Papers from Adelaide University, School of Economics
Abstract:
In this paper, we consider a semiparametric time series regression model and establish a set of identi cation conditions such that the model under discussion is both identi able and estimable. We then discuss how to estimate a sequence of local alternative functions nonparametrically when the null hypothesis does not hold. An asympthttps://media.adelaide.edu.au/economics/pirical application is also included.
Pages: 18 pages
Date: 2010-10
New Economics Papers: this item is included in nep-ecm and nep-ets
References: Add references at CitEc
Citations: View citations in EconPapers (6)
Downloads: (external link)
http://www.economics.adelaide.edu.au/research/papers/doc/wp2010-27.pdf (application/pdf)
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:adl:wpaper:2010-27
Access Statistics for this paper
More papers in Adelaide Economics Working Papers from Adelaide University, School of Economics Contact information at EDIRC.
Bibliographic data for series maintained by Chansik Yoon () and Ruby Nguyen ().