期刊名称:International Journal of Economics and Financial Issues
电子版ISSN:2146-4138
出版年度:2012
卷号:2
期号:3
页码:246-266
语种:English
出版社:EconJournals
摘要:This paper considers tests of parameters instability and structural change with known, unknown or multiple breakpoints. The results apply to a wide class of parametric models that are suitable for estimation by strong rules for detecting the number of breaks in a time series. For that, we use Chow, CUSUM, CUSUM of squares, Wald, likelihood ratio and Lagrange multiplier tests. Each test implicitly uses an estimate of a change point. We conclude with an empirical analysis on two different models (ARMA model and simple linear regression model). Keywords: Tests of parameters instability; Structural change; Breakpoints; ARMA model; SLRM. JEL Classifications: C22; G12; Q43