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).
Tests of parameters instability Structural change Breakpoints ARMA model SLRM
| Diğer ID | JA89MA25ZS |
|---|---|
| Yazarlar | |
| Yayımlanma Tarihi | 1 Eylül 2012 |
| Yayımlandığı Sayı | Yıl 2012 Cilt: 2 Sayı: 3 |