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Bayesian System GMM/Evidence
Method evidence record

Bayesian System GMM

Bayesian System GMM combines the Blundell-Bond System Generalized Method of Moments estimator for dynamic panel data with Bayesian prior distributions and posterior inference via MCMC. It handles endogeneity, individual fixed effects, and weak-instrument problems while incorporating prior knowledge and delivering full posterior uncertainty quantification — not just point estimates and asymptotic standard errors.

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Source record

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

Bayesian System Generalized Method of Moments
Taxonomic method record · regression-model / econometrics
  • Blundell, R., & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of Econometrics, 87(1), 115–143. · DOI 10.1016/S0304-4076(98)00009-8
  • Chib, S., & Ramamurthy, S. (2010). Tailored randomized block MCMC methods with application to DSGE models. Journal of Econometrics, 155(1), 19–38. · DOI 10.1016/j.jeconom.2009.08.003
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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 bucketArellano-Bond GMM estimatormachine-suggested · Relational suggestion, not evidence.Taxonomic bucketDifference GMMmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketDynamic Panel Data Modelmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketPanel Dynamic Panel Data Modelmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketPanel System GMMmachine-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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