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Bayesian VECM/Evidence
Method evidence record

Bayesian VECM

The Bayesian VECM combines the classical Vector Error Correction Model — which captures both short-run dynamics and long-run cointegrating relationships among non-stationary multivariate time series — with Bayesian prior distributions over the cointegrating rank and coefficient matrices. This allows principled uncertainty quantification, incorporation of economic theory as priors, and coherent inference even in small samples.

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Source record

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

Bayesian Vector Error Correction Model
Taxonomic method record · regression-model / econometrics
  • Kleibergen, F., & Paap, R. (2002). Priors, posteriors and Bayes factors for a Bayesian analysis of cointegration. Journal of Econometrics, 111(2), 223–249. · DOI 10.1016/s0304-4076(02)00105-7
  • Villani, M. (2005). Bayesian reference analysis of cointegration. Econometric Theory, 21(2), 326–357. · DOI 10.1017/s026646660505019x
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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 ARIMA modelmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketBayesian VAR modelmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketPanel VECMmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketStructural VARmachine-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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