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University of Illinois at Urbana-Champaign

Experience in the application of unit roots and fractional difference models and tests

Abstract

dc:description

One of the most important aspects in analyzing economic time series is to specify whether the observed series is generated by a stationary or non-stationary process, since most macroeconomic variables could be generated by a unit autoregressive root process. This determination as to whether or not a series should be differenced is known as the unit root test. In other words, if a time series in non-stationary, then in the presence of a unit autoregressive root, it can be converted to a stationary and invertible process by first differencing.

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Economics
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2011

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Agiakloglou, Christos N.
Contributors dc:contributor
  • Newbold, Paul

Subjects

dc:subject × 3

Rights

dc:rights
Statement dc:rights
  • Copyright 1992 Agiakloglou, Christos N.
Language dc:language
eng

Identifiers

dc:identifier.*
Identifier
AAI9305446
(UMI)AAI9305446
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/19013

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Agiakloglou, Christos N.. Experience in the application of unit roots and fractional difference models and tests. Dissertation thesis, University of Illinois at Urbana-Champaign, 2011. http://hdl.handle.net/2142/19013