विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| समय-परिवर्तनीय पैरामीटर VECM (TVP-VECM)× | समय-परिवर्ती पैरामीटर VAR (TVP-VAR)× | |
|---|---|---|
| क्षेत्र | अर्थमिति | अर्थमिति |
| परिवार | Regression model | Regression model |
| उद्भव वर्ष≠ | 1999–2010 | 2005 |
| प्रवर्तक≠ | Park & Hahn (1999); extended by Bierens & Martins (2010) | Giorgio Primiceri |
| प्रकार≠ | Dynamic multivariate time-series model | Bayesian state-space model |
| मौलिक स्रोत≠ | Park, J. Y., & Hahn, S. B. (1999). Cointegrating regressions with time varying coefficients. Econometric Theory, 15(5), 664–703. DOI ↗ | Primiceri, G. E. (2005). Time varying structural vector autoregressions and monetary policy. Review of Economic Studies, 72(3), 821–852. DOI ↗ |
| उपनाम | TVP-VECM, time-varying VECM, TVP cointegration model, dynamic VECM with drifting coefficients | Time-Varying Parameter Vector Autoregression, TVP-SVAR, Stochastic Coefficient VAR, Zamana Göre Değişen Parametreli VAR |
| संबंधित≠ | 3 | 2 |
| सारांश≠ | The Time-Varying Parameter Vector Error Correction Model extends the standard VECM by allowing the adjustment speeds, cointegrating vectors, and short-run dynamics to drift over time. It captures long-run cointegrating relationships among integrated series while accommodating structural change, evolving policy regimes, and shifting economic relationships within a unified state-space framework. | TVP-VAR is a Bayesian multivariate time-series model in which both the VAR coefficients and the shock covariance matrix are allowed to evolve continuously over time as random walks. Introduced by Primiceri (2005) to study U.S. monetary policy transmission, the model captures structural changes and regime shifts without requiring ex-ante knowledge of when breaks occurred, making it indispensable for macroeconomics, finance, and any setting where economic relationships are suspected to be unstable across time. |
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