Bayesian Panel Data Analysis
Bayesian panel data analysis applies Bayesian inference to models with repeated observations on multiple units. By placing prior distributions on coefficients and variance components, it merges prior knowledge with the observed panel likelihood to produce full posterior distributions for fixed or random effects, slope heterogeneity, and variance parameters — rather than point estimates and asymptotic standard errors.
Source record
Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.
- Hsiao, C. (2003). Analysis of Panel Data (2nd ed.). Cambridge University Press. · ISBN 978-0521522717
- Zellner, A. (1971). An Introduction to Bayesian Inference in Econometrics. Wiley. · ISBN 978-0471169376
Curated claims
Claims persisted in the evidence ledger, each with its own assessment.
This view does not invent a claim assessment when the ledger has none.
Related methods
Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.