方法证据记录
Time-varying parameter Engle-Granger cointegration
Time-varying parameter (TVP) Engle-Granger cointegration extends the classical two-step Engle-Granger framework by allowing the long-run relationship between integrated series to evolve over time. Instead of assuming a fixed cointegrating vector, the cointegrating coefficients are modelled as stochastic processes — typically via a random walk — and estimated with the Kalman filter or related state-space methods.
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。
Time-Varying Parameter Engle-Granger Cointegration Model
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
- Park, J. Y., & Hahn, S. B. (1999). Cointegrating regressions with time varying coefficients. Econometric Theory, 15(5), 664–703. · DOI 10.1017/S0266466699155026
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