ScholarGate
Assistent
Regression modelEconometrics / time series

Bayesiansk Strukturel VAR (B-SVAR) Model

Bayesiansk Strukturel Vektor Autoregression model kombinerer den strukturelle identifikation af SVAR med Bayesianske prior-fordelinger over parametre. Den estimerer kausale impulsresponsfunktioner mellem multiple tidsserier, mens den inkorporerer forudgående økonomisk viden og producerer fulde posterior-usikkerhedsbånd snarere end punktestimater alene.

Anvend med EconMindSnartVideoSnartDownload slides

Læs hele metoden

Kun for medlemmer

Log ind med en gratis konto for at læse dette afsnit.

Log ind

Method map

The neighbourhood of related methods — select a node to explore.

Kilder

  1. Sims, C. A., & Zha, T. (1998). Bayesian methods for dynamic multivariate models. International Economic Review, 39(4), 949–968. DOI: 10.2307/2527347
  2. Uhlig, H. (2005). What are the effects of monetary policy on output? Results from an agnostic identification procedure. Journal of Monetary Economics, 52(2), 381–419. DOI: 10.1016/j.jmoneco.2004.05.007

Sådan citerer du denne side

ScholarGate. (2026, June 3). Bayesian Structural Vector Autoregression Model. ScholarGate. https://scholargate.app/da/econometrics/bayesian-svar-model

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

Compare side by side

Refereret af

ScholarGateBayesian SVAR model (Bayesian Structural Vector Autoregression Model). Hentet 2026-06-15 fra https://scholargate.app/da/econometrics/bayesian-svar-model · Datasæt: https://doi.org/10.5281/zenodo.20539026