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