Measuring Job Satisfaction with CUB Models

27 Pages Posted: 9 May 2013

See all articles by Romina Gambacorta

Romina Gambacorta

Bank of Italy

Maria Iannario

University of Naples Federico II

Date Written: June 2013

Abstract

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.

JEL Classification: J28, C25

Suggested Citation

Gambacorta, Romina and Iannario, Maria, Measuring Job Satisfaction with CUB Models (June 2013). LABOUR, Vol. 27, Issue 2, pp. 198-224, 2013, Available at SSRN: https://ssrn.com/abstract=2262646 or http://dx.doi.org/10.1111/labr.12008

Romina Gambacorta (Contact Author)

Bank of Italy ( email )

Via Nazionale 91
00184 Roma
Italy

Maria Iannario

University of Naples Federico II ( email )

via Cinthia, 4
Naples, Caserta 80126
Italy

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