方法证据记录
Engle-Granger Cointegration Test
The Engle-Granger two-step method tests whether two or more non-stationary I(1) time series share a common stochastic trend — that is, whether a linear combination of them is stationary. If cointegration is confirmed, an error-correction model (ECM) can be estimated to capture both short-run dynamics and long-run equilibrium adjustment.
源记录
引文逐字复制自方法源记录。这些引文不代表任何层级的验证。
Engle-Granger Two-Step Cointegration Test
分类方法记录 · regression-model / econometrics
- Engle, R. F., & Granger, C. W. J. (1987). Co-integration and error correction: Representation, estimation, and testing. Econometrica, 55(2), 251–276. · DOI 10.2307/1913236
- Hamilton, J. D. (1994). Time Series Analysis. Princeton University Press. · ISBN 978-0691042893
精选声明
声明已持久化到证据分类账中，每个声明都有自己的评估。
尚无精选声明
当分类账中没有声明时，此视图不会自行创建声明评估。
相关方法
从方法图中生成，显示为机器建议的关系 — 不推断任何证据声明。