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Keywords:

  • C11;
  • C35;
  • I3
  • Markov chain Monte Carlo (MCMC);
  • multivariate ordered probit model;
  • ordinal explanatory variables

In this article, we use microlevel data extracted from the 2006 Japanese General Social Surveys to analyze the relationships between self-assessed social position and socioeconomic factors such as income and poverty. We provide the posterior results of the estimation of the Bayesian multivariate ordered probit model and propose an inequality measure for self-assessed social position on the basis of the posterior results. We call the inequality measure “regret” and show that the distributions of regret differ for people above and below the poverty line.