Bayesian analysis of a dynamic multivariate spatial ordered probit model

Spatial econometrics has few studies on multivariate ordinal responses. This study proposes a dynamic spatial ordered probit (DMSOP) model, which is the first attempt to capture temporal and dependencies simultaneously for The parameters are calculated using Bayesian inference based Markov chain Monte Carlo sampling. DMSOP model performs effectively with simulated data. Furthermore, applied two response variables, namely, life satisfaction self-rated health of adults in 25 provinces China. empirical results show that can measure