Structural change in macroeconomic time series: A complex systems perspective


Autoria(s): Hinich, MJ; Foster, J; Wild, P
Contribuinte(s)

D. McMillan

T. Palivos

Data(s)

01/01/2006

Resumo

We demonstrate that the process of generating smooth transitions Call be viewed as a natural result of the filtering operations implied in the generation of discrete-time series observations from the sampling of data from an underlying continuous time process that has undergone a process of structural change. In order to focus discussion, we utilize the problem of estimating the location of abrupt shifts in some simple time series models. This approach will permit its to address salient issues relating to distortions induced by the inherent aggregation associated with discrete-time sampling of continuous time processes experiencing structural change, We also address the issue of how time irreversible structures may be generated within the smooth transition processes. (c) 2005 Elsevier Inc. All rights reserved.

Identificador

http://espace.library.uq.edu.au/view/UQ:80937

Idioma(s)

eng

Publicador

Louisiana State Univ Pr

Palavras-Chave #Continuous Processes #Discrete Sampling #Aggregation Distortions #Complex Systems #Time Irreversibility #Economics #Change-point #Nuisance Parameter #Linear-regression #Likelihood Ratio #Segmented Regression #Evolutionary Change #2-phase Regression #Random-variables #Business-cycle #Unknown Point #C1 #340403 Time-Series Analysis #340208 Macroeconomics (incl. Monetary and Fiscal Theory) #720100 Macroeconomic Issues #780101 Mathematical sciences
Tipo

Journal Article