Bayesian analysis of Turkish Income and Living Conditions data, using clustered longitudinal ordinal modelling with Bridge distributed random-effects

摘要: This paper is motivated by the panel surveys, called Statistics on Income and Living Conditions (SILC), conducted annually (randomly selected) country-representative households to monitor EU 2020 aims poverty reduction. We particularly consider surveys in Turkey, within scope of integration EU, between 2010 2013. Our main interests are health aspects economic living conditions. The outcome {\it self-reported health} that clustered longitudinal ordinal, since repeated measures it nested individuals families. Economic conditions were measured through a number individual- family-level explanatory variables. questions interest marginal relationships covariates addressed using polytomous logistic regression with Bridge distributed random-effects. choice distribution allows one directly} obtain inferences presence Widely used Normal also considered as random-effects distribution. Samples from joint posterior density parameters drawn Markov Chain Monte Carlo. Interesting findings public point view differences found sub-groups employment status, income level year terms odds reporting better health.