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ARDL 边界检验(Pesaran 边界检验)×ARIMA(自回归积分滑动平均)模型×向量误差修正模型 (VECM)×
领域计量经济学计量经济学计量经济学
方法族Regression modelRegression modelRegression model
起源年份200120151987
提出者Pesaran, Shin & SmithBox & Jenkins (Box-Jenkins methodology)Engle & Granger
类型Cointegration test / Autoregressive distributed lag modelUnivariate time-series modelMultivariate time-series model
开创性文献Pesaran, M. H., Shin, Y., & Smith, R. J. (2001). Bounds Testing Approaches to the Analysis of Level Relationships. Journal of Applied Econometrics, 16(3), 289–326. DOI ↗Box, G. E. P., Jenkins, G. M., Reinsel, G. C. & Ljung, G. M. (2015). Time Series Analysis: Forecasting and Control (5th ed.). Wiley. ISBN: 978-1118675021Engle, R. F. & Granger, C. W. J. (1987). Co-Integration and Error Correction: Representation, Estimation, and Testing. Econometrica, 55(2), 251-276. DOI ↗
别名Pesaran bounds test, bounds testing approach, ARDL cointegration test, ARDL Sınır Testi (Pesaran Bounds Test)Box-Jenkins model, ARIMA(p,d,q), ARIMA Modelivector error correction model, error correction model, cointegration model, VECM (Vektör Hata Düzeltme Modeli)
相关454
摘要The ARDL bounds test is an autoregressive distributed lag method that tests for a cointegrating (long-run level) relationship between time series, introduced by Pesaran, Shin and Smith in 2001. Unlike the Johansen procedure, it remains valid whether the variables are I(0), I(1) or a mix of the two, and it is more reliable than Johansen in small samples of roughly 30 to 80 observations.ARIMA is a univariate time-series forecasting model that combines autoregressive, integrated (differencing), and moving-average components to predict a single continuous series from its own past. It is the centrepiece of the Box-Jenkins methodology set out in Box, Jenkins, Reinsel & Ljung's Time Series Analysis (5th ed., 2015).The Vector Error Correction Model is a multivariate time-series model for cointegrated series that captures both their short-run dynamics and their long-run equilibrium relationship. It was introduced by Engle and Granger in 1987 as part of the cointegration and error-correction framework.
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ScholarGate方法对比: ARDL Bounds Test · ARIMA · VECM. 于 2026-06-19 检索自 https://scholargate.app/zh/compare