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 |
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Bölüm | Araştırma Makalesi |
Yazarlar | |
Yayımlanma Tarihi | 1 Eylül 2012 |
Yayımlandığı Sayı | Yıl 2012 Cilt: 2 Sayı: 3 |