Asymptotic properties of OLS estimates in autoregressions with bounded or slowly growing deterministic trends
Kairat Mynbaev
MPRA Paper from University Library of Munich, Germany
Abstract:
We propose a general method of modeling deterministic trends for autoregressions. The method relies on the notion of $L_2$-approximable regressors previously developed by the author. Some facts from the theory of functions play an important role in the proof. In its present form, the method encompasses slowly growing regressors, such as logarithmic trends, and leaves open the case of polynomial trends.
Keywords: autoregression; deterministic trend; OLS estimator asymptotics (search for similar items in EconPapers)
JEL-codes: C01 C02 C22 (search for similar items in EconPapers)
Date: 2003, Revised 2005
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
https://mpra.ub.uni-muenchen.de/18448/1/MPRA_paper_18448.pdf original version (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:pra:mprapa:18448
Access Statistics for this paper
More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().