Regression modelEconometrics / time series

Time-Varying Parameter SVAR Model (TVP-SVAR)

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.

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Sources

  1. Primiceri, G. E. (2005). Time varying structural vector autoregressions and monetary policy. Review of Economic Studies, 72(3), 821–852. DOI: 10.1111/j.1467-937X.2005.00353.x
  2. Nakajima, J. (2011). Time-Varying Parameter VAR Model with Stochastic Volatility: An Overview of Methodology and Empirical Applications. IMES Discussion Paper Series 2011-E-9, Bank of Japan. link

Related methods

ScholarGateTime-varying parameter SVAR model (Time-Varying Parameter Structural Vector Autoregression Model). Retrieved 2026-06-04 from https://scholargate.app/tr/econometrics/time-varying-parameter-svar-model