Measuring job satisfaction with CUB models

In this paper we present two statistical approaches for discussing and modelling job satisfaction based on data collected in the Survey on Household Income and Wealth (SHIW) conducted by the Bank of Italy. In particular, we analyse these data by means of a mixture model introduced for ordinal data and compare results with the Ordinal Probit model. The aim is to establish common outcomes and differences in the estimated patterns of global job satisfaction, but also to stress the potential for curbing the effects of measurement errors on estimates by using CUB models [a Combination of discrete Uniform and (shifted) Binomial distributions], allowing control for the effect of uncertainty and shelter choices in the response process. © 2013 CEIS, Fondazione Giacomo Brodolini and John Wiley & Sons Ltd.