Regression modelEconometrics / time series

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.

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Sources

  1. 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
  2. Park, J. Y., & Hahn, S. B. (1999). Cointegrating regressions with time varying coefficients. Econometric Theory, 15(5), 664–703. DOI: 10.1017/S0266466699155026

Related methods

ScholarGateTime-varying parameter Engle-Granger cointegration (Time-Varying Parameter Engle-Granger Cointegration Model). Retrieved 2026-06-04 from https://scholargate.app/tr/econometrics/time-varying-parameter-engle-granger-cointegration