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| Тест на Quandt-Andrews за неизвестни структурни промени× | Тест на Чоу за структурна промяна× | |
|---|---|---|
| Област | Иконометрия | Иконометрия |
| Семейство≠ | Hypothesis test | Regression model |
| Година на възникване≠ | 1993 | 1960 |
| Създател≠ | Donald Andrews | Gregory C. Chow |
| Тип≠ | Supremum test for structural change | Test for structural break in regression coefficients |
| Основополагащ източник≠ | Andrews, D. W. K. (1993). Tests for parameter instability and structural change with unknown change point. Econometrica, 61(4), 821–856. DOI ↗ | Chow, G. C. (1960). Tests of equality between sets of coefficients in two linear regressions. Econometrica, 28(3), 591–605. DOI ↗ |
| Други названия≠ | sup-Wald Test, Andrews Breakpoint Test, Unknown Structural Break Test, Quandt Likelihood Ratio Test | Chow breakpoint test, structural break test, Chow yapısal kırılma testi |
| Свързани≠ | 3 | 2 |
| Резюме≠ | The Quandt-Andrews test, formalized by Andrews (1993), detects structural breaks in regression parameters when the breakpoint date is unknown a priori. It sweeps all candidate break dates within a trimmed interior of the sample, computes a Wald (or LM/LR) statistic at each candidate, and reports the supremum of those statistics. Applied economists and time-series analysts use it to test whether coefficients remain stable across a full estimation window without needing to specify when the break occurred. | The Chow test, introduced by Gregory Chow in 1960, checks whether the coefficients of a linear regression are the same across two subsamples — that is, whether a structural break occurs at a known point such as a policy change, crisis, or regime shift. It compares the fit of a single pooled regression with the combined fit of two separate regressions; a large improvement from splitting indicates the relationship differs between the two periods or groups. |
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