विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| समय-परिवर्तनीय पैरामीटर एसवीएआर मॉडल (टीवीपी-एसवीएआर)× | समय-परिवर्ती पैरामीटर VAR मॉडल (TVP-VAR)× | |
|---|---|---|
| क्षेत्र | अर्थमिति | अर्थमिति |
| परिवार | Regression model | Regression model |
| उद्भव वर्ष | 2005 | 2005 |
| प्रवर्तक≠ | Giorgio E. Primiceri | Primiceri (2005); Cogley & Sargent (2001, 2005) |
| प्रकार≠ | Bayesian state-space SVAR | Multivariate time-series model with drifting coefficients |
| मौलिक स्रोत≠ | Primiceri, G. E. (2005). Time varying structural vector autoregressions and monetary policy. Review of Economic Studies, 72(3), 821–852. DOI ↗ | Primiceri, G. E. (2005). Time varying structural vector autoregressions and monetary policy. Review of Economic Studies, 72(3), 821-852. DOI ↗ |
| उपनाम | TVP-SVAR, time-varying SVAR, drifting-parameter SVAR, TVP structural VAR | TVP-VAR, time-varying VAR, TV-VAR, drifting-coefficient VAR |
| संबंधित≠ | 2 | 6 |
| सारांश≠ | The Time-Varying Parameter Structural VAR (TVP-SVAR) model extends classical structural VARs by allowing both the reduced-form coefficients and the structural impact matrix to evolve continuously over time. Estimated via Bayesian MCMC, it captures shifting transmission mechanisms and heteroscedastic volatility — making it the workhorse for empirical macroeconomics when policy regimes and economic relationships change. | The Time-Varying Parameter VAR (TVP-VAR) model extends the standard vector autoregression by allowing the coefficients and error covariances to evolve gradually over time. Estimated via Bayesian methods and MCMC simulation, it captures how dynamic relationships between macroeconomic or financial variables shift across different economic regimes without requiring pre-specified break points. |
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