Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Granger Causalidad con Parámetros Variable en el Tiempo× | Vector Autoregression (VAR)× | |
|---|---|---|
| Campo | Econometría | Econometría |
| Familia | Regression model | Regression model |
| Año de origen≠ | 1969 (Granger); TVP extension ~2005 | 1980 |
| Autor original≠ | C.W.J. Granger (causality concept); TVP extension developed by Primiceri (2005) and subsequent literature | Christopher A. Sims |
| Tipo≠ | Causality test / time-varying model | Multivariate time-series model |
| Fuente seminal≠ | Granger, C. W. J. (1969). Investigating causal relations by econometric models and cross-spectral methods. Econometrica, 37(3), 424-438. DOI ↗ | Sims, C. A. (1980). Macroeconomics and Reality. Econometrica, 48(1), 1–48. DOI ↗ |
| Alias | TVP Granger causality, rolling-window Granger causality, time-varying Granger test, dynamic Granger causality | VAR, VAR model, vector autoregressive model, multivariate autoregression |
| Relacionados≠ | 4 | 5 |
| Resumen≠ | Time-varying parameter Granger causality extends the classical Granger causality framework by allowing the predictive relationships between time series to evolve across time. Instead of assuming fixed causal effects, the model estimates causal coefficients that can shift, capturing structural breaks, regime changes, or gradual evolution in economic or financial relationships. | Vector Autoregression is a multivariate time-series model in which each variable is regressed on its own lags and the lags of all other variables in the system. Originally proposed by Sims (1980) as a data-driven alternative to large structural macroeconomic models, VAR has become the standard workhorse for dynamic analysis in empirical economics and finance. |
| ScholarGateConjunto de datos ↗ |
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