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TVP-FAVAR×Projekcje Lokalne×
DziedzinaEkonometriaEkonometria
RodzinaRegression modelRegression model
Rok powstania20052005
TwórcaBernanke, Boivin, and EliaszOscar Jorda
TypTime-varying systemMulti-horizon regression
Źródło pierwotneBernanke, B. S., Boivin, J., & Eliasz, P. S. (2005). Measuring monetary policy. Journal of Political Economy, 113(1), 161-208. link ↗Jorda, O. (2005). Estimation and inference of impulse responses by local projections. American Economic Review, 95(1), 161-182. DOI ↗
Inne nazwyDynamic factor model with time-varying parametersLP-IR, Multi-horizon regression
Pokrewne33
PodsumowanieTVP-FAVAR is a hybrid framework combining factor-augmented VARs with time-varying parameter estimation via Kalman filtering. Introduced by Bernanke et al. (2005) and refined by Primiceri (2005), it extracts latent economic factors (e.g., a 'common monetary policy shock') from high-dimensional data while allowing VAR coefficients to evolve stochastically over time. This framework captures both reduced-dimensionality patterns and structural instability, making it ideal for studying evolving policy regimes and shock dynamics.Local Projections (LP) is a semi-parametric method for estimating impulse responses directly via multi-horizon regressions, bypassing VAR-model specification. Introduced by Jorda (2005), it projects outcomes h periods ahead onto current shocks and lags, producing impulse-response functions without assuming a particular lag structure or VAR order. This flexibility has made it the dominant approach in applied macroeconomics for measuring policy effects and shock transmission.
ScholarGateZbiór danych
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  1. v1
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  3. PUBLISHED

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ScholarGatePorównaj metody: TVP-FAVAR · Local Projections. Pobrano 2026-06-19 z https://scholargate.app/pl/compare