A Bayesian Approach for Evaluation of Determinants of Health System Efficiency Using Stochastic Frontier Analysis and Beta Regression

Table 1

Posterior mean, sample standard deviation (SD), Monte Carlo error (MC error), and median with a 95% posterior credible interval.

Node	Mean	SD	MC error	2.5%	Median	97.5%	Start	Sample
Constant	12.713	1.231	0.045	10.713	11.913	13.113	12000	37500
GDP	7.631	0.226	0.009	6.816	7.126	7.436	12000	37500
Health expenditure	1.625	0.085	0.002	1.323	1.417	1.671	12000	37500
Education	0.932	0.456	0.015	−0.045	10.021	1.524	12000	37500
Tobacco consumption	1.441	0.036	0.001	0.817	1.563	1.971	12000	37500
Alcohol consumption	0.673	0.423	0.007	−0.126	0.871	1.320	12000	37500
Fruit and vegetables consumption	1.273	0.185	0.003	0.871	1.345	1.824	12000	37500
Nitrogen oxide emissions	0.717	0.167	0.002	0.218	0.894	1.023	12000	37500
Time	1.231	0.027	0.001	0.101	1.321	1.444	12000	37500
Lambda	0.128	0.063	0.002	0.071	0.112	0.011	12000	37500