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.
Evidence statusSources recorded, not reviewedBibliographic sources are present. Claim-level evidence review has not been performed.
Source record
Recorded
Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.
Bayesian Vector Error Correction Model
Taxonomic method recordregression-modeleconometrics
Open full method2 recorded citations, copied from the method source record.
Curated claims
Assessed
Claims persisted in the evidence ledger, each with its own assessment.
No curated claims yet
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Related methods
Suggested5
Generated from the method graph and shown as machine-suggested relations. No evidence claim is inferred.
- Taxonomic bucketBayesian ARIMA model
machine-suggestedRelational suggestion, not evidence.
- Taxonomic bucketBayesian VAR model
machine-suggestedRelational suggestion, not evidence.
- Taxonomic bucketPanel VECM
machine-suggestedRelational suggestion, not evidence.
- Taxonomic bucketStructural VAR
machine-suggestedRelational suggestion, not evidence.
- Taxonomic bucketVector Error Correction Model
machine-suggestedRelational suggestion, not evidence.