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Bayesian SVAR model/Evidence
Method evidence record

Bayesian SVAR model

The Bayesian Structural Vector Autoregression model combines the structural identification of SVAR with Bayesian prior distributions over parameters. It estimates causal impulse responses between multiple time series while incorporating prior economic knowledge and producing full posterior uncertainty bands rather than point estimates alone.

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Bayesian Structural Vector Autoregression Model
Taxonomic method record · regression-model / econometrics
  • Sims, C. A., & Zha, T. (1998). Bayesian methods for dynamic multivariate models. International Economic Review, 39(4), 949–968. · DOI 10.2307/2527347
  • 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
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Curated claims

Claims persisted in the evidence ledger, each with its own assessment.

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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Taxonomic bucketBayesian ARDL Bounds Testmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketBayesian VAR modelmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketBayesian VECMmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketStructural VARmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketVector Autoregressionmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketVector Error Correction Modelmachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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