Semiparametric Bayesian inference in autoregressive panel data models

Keisuke Hirano

Research output: Contribution to journalArticlepeer-review

88 Scopus citations


Bayesian methods were developed for inference in dynamic panel data models with individual effects, and were applied for the study of longitudinal data on earnings from the Panel Study on Income Dynamics (PSID). Semiparametric Bayesian methods were adapted to a random effects autoregressive model with nonparametric idiosyncratic shocks.

Original languageEnglish (US)
Pages (from-to)781-799
Number of pages19
Issue number2
StatePublished - 2002
Externally publishedYes

ASJC Scopus subject areas

  • Economics and Econometrics


Dive into the research topics of 'Semiparametric Bayesian inference in autoregressive panel data models'. Together they form a unique fingerprint.

Cite this