@ARTICLE{Makieła_Kamil_Bayesian_2017,
 author={Makieła, Kamil},
 number={No 1},
 journal={Central European Journal of Economic Modelling and Econometrics},
 pages={69-95},
 howpublished={online},
 year={2017},
 publisher={Oddział PAN w Łodzi},
 abstract={The paper investigates Bayesian approach to estimate generalized true random-effects models (GTRE). The analysis shows that under suitably defined priors for transient and persistent inefficiency terms the posterior characteristics of such models are well approximated using simple Gibbs sampling. No model re-parameterization is required. The proposed modification not only allows us to make more reasonable (less informative) assumptions as regards prior transient and persistent inefficiency distribution but also appears to be more reliable in handling especially noisy datasets. Empirical application furthers the research into stochastic frontier analysis using GTRE models by examining the relationship between inefficiency terms in GTRE, true random-effects, generalized stochastic frontier and a standard stochastic frontier model.},
 type={Artykuły / Articles},
 title={Bayesian Inference and Gibbs Sampling in Generalized True Random-Effects Models},
 URL={http://journals.pan.pl/Content/106517/PDF/mainFile.pdf},
 doi={10.24425/cejeme.2017.122200},
 keywords={generalized true random-effects model, stochastic frontier analysis, Gibbs sampling, Bayesian inference, cost efficiency, transient and persistentefficiency},
}