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공적분 검정 (요한센 / 엥글-그레인저)×ARIMA (Autoregressive Integrated Moving Average) 모형×Vector Autoregression (VAR) Model×
분야계량경제학계량경제학계량경제학
계열Regression modelRegression modelRegression model
기원 연도198820152005
창시자Engle & Granger (1987); Johansen (1988)Box & Jenkins (Box-Jenkins methodology)Lütkepohl (textbook treatment); Sims (1980) macroeconometric tradition
유형Time-series cointegration testUnivariate time-series modelMultivariate time-series model
원전Johansen, S. (1988). Statistical Analysis of Cointegration Vectors. Journal of Economic Dynamics and Control, 12(2-3), 231-254. 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: 978-1118675021Lütkepohl, H. (2005). New Introduction to Multiple Time Series Analysis. Springer. DOI ↗
별칭Johansen cointegration test, Engle-Granger cointegration test, long-run equilibrium test, Eşbütünleşme Testi (Johansen/Engle-Granger)Box-Jenkins model, ARIMA(p,d,q), ARIMA Modelivector autoregression, VAR, VAR Modeli (Vektör Otoregresyon), vektör otoregresyon
관련554
요약The cointegration test examines whether non-stationary time series that each contain a unit root share a stable long-run equilibrium relationship. The single-equation residual approach was introduced by Engle and Granger (1987) and the system-based rank approach by Johansen (1988).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).Vector Autoregression is a multivariate time-series model that treats several interdependent series symmetrically, letting each variable depend on its own past values and the past values of all the others. It is the standard tool for capturing mutual causality and joint dynamics, developed in the modern multiple-time-series tradition treated by Lütkepohl (2005).
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