ScholarGate
Ассистент

Сравнение методов

Просматривайте выбранные методы рядом; строки с различиями подсвечены.

Робастный тест на коинтеграцию Энгла-Грейнджера×Тест на коинтеграцию Энгла-Грейнджера с структурным разрывом×
ОбластьЭконометрикаЭконометрика
СемействоRegression modelRegression model
Год появления1987 (base); robust variants 2000s–2020s1996
Автор методаEngle & Granger (1987); robust extensions by subsequent authors including Hao & Shaffer and othersGregory & Hansen (1996), extending Engle & Granger (1987)
ТипCointegration testCointegration test with structural break
Основополагающий источникEngle, R. F., & Granger, C. W. J. (1987). Co-integration and error correction: Representation, estimation, and testing. Econometrica, 55(2), 251–276. DOI ↗Gregory, A. W., & Hansen, B. E. (1996). Residual-based tests for cointegration in models with regime shifts. Journal of Econometrics, 70(1), 99-126. link ↗
Другие названияrobust EG cointegration, outlier-robust cointegration test, robust two-step cointegration, robust EG testGregory-Hansen cointegration test, cointegration with structural break, EG cointegration with regime shift, residual-based cointegration with break
Связанные52
СводкаThe Robust Engle-Granger cointegration test adapts the classic two-step Engle-Granger procedure to withstand outliers, heavy-tailed error distributions, and additive noise that can severely distort standard residual-based cointegration inference. By substituting robust regression and robust unit-root testing for classical OLS and ADF steps, it yields reliable conclusions about long-run equilibrium relationships even when the data contain anomalous observations.The structural break Engle-Granger cointegration test, most commonly implemented via the Gregory-Hansen (1996) procedure, extends the classical Engle-Granger two-step test to allow for a single unknown structural break in the long-run cointegrating relationship. It tests whether two or more integrated series share a common stochastic trend even when that relationship may have shifted at some point in the sample.
ScholarGateНабор данных
  1. v1
  2. 2 Источники
  3. PUBLISHED
  1. v1
  2. 2 Источники
  3. PUBLISHED

Перейти к поиску Скачать слайды

ScholarGateСравнение методов: Robust Engle-Granger Cointegration · Structural break Engle-Granger cointegration. Получено 2026-06-18 из https://scholargate.app/ru/compare