Mathematical Research Data Initiative
Main page
Recent changes
Random page
Help about MediaWiki
Create a new Item
Create a new Property
Create a new EntitySchema
Merge two items
In other projects
Discussion
View source
View history
Purge
English
Log in

Some consequences of using the Chow tests in the context of autocorrelated disturbances

From MaRDI portal
Publication:1206323
Jump to:navigation, search

DOI10.1016/0165-1765(92)90045-ZzbMath0761.62119MaRDI QIDQ1206323

David E. A. Giles, Murray Scott

Publication date: 1 April 1993

Published in: Economics Letters (Search for Journal in Brave)


zbMATH Keywords

autocorrelated errors\(AR(1)\) errors\(MA(1)\) errorstrue size of the Chow test for structural stability


Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Linear regression; mixed models (62J05)


Related Items (1)

An asymptotically F-distributed Chow test in the presence of heteroscedasticity and autocorrelation


Uses Software

  • AS 155


Cites Work

  • On the robustness of the F-test to autocorrelation among disturbances
  • SERIAL CORRELATION IN REGRESSION ANALYSIS. I
  • Tests of Equality Between Sets of Coefficients in Two Linear Regressions
  • Effects of ARMA Errors on Tests for Regression Coefficients: Comments on Vinod's Article; Improved and Additional Results
  • Algorithm AS 155: The Distribution of a Linear Combination of χ 2 Random Variables
  • New Estimators of Disturbances in Regression Analysis
  • TESTING FOR SERIAL CORRELATION IN LEAST SQUARES REGRESSION. II


This page was built for publication: Some consequences of using the Chow tests in the context of autocorrelated disturbances

Retrieved from "https://portal.mardi4nfdi.de/w/index.php?title=Publication:1206323&oldid=13272497"
Tools
What links here
Related changes
Special pages
Printable version
Permanent link
Page information
MaRDI portal item
This page was last edited on 31 January 2024, at 07:19.
Privacy policy
About MaRDI portal
Disclaimers
Imprint
Powered by MediaWiki