This paper identifies and quantifies the contribution of a set of covariates in affecting levels and over time changes of happiness inequality. Using a decomposition methodology based on RIF regression, we analyse the increase in happiness inequality observed in Germany between 1992 and 2007,...

The article examines public-private sector wage differentials in Spain using microdata from the Structure of Earnings Survey (Encuesta de Estructura Salarial). When applying various decomposition techniques, we find that it is important to distinguish by gender and type of contract. Our results...

Our objective is to analyse the role of teacher and school quality to explain differences in students' educational outcomes. With this aim, we use PISA microdata for 10 middle income and 2 high income countries and we apply decomposition methods in order to identify the role of these factors for...

This paper proposes a decomposition of the composition effect, i.e. the part of the observed between-group difference in the distribution of some economic outcome that can be explained by differences in the distribution of covariates. Our decomposition contains three types of components: (i) the...

Despite the large number of studies that draw on Programme for International Student Assessment (PISA) microdata in their analyses of the determinants of educational outcomes, no more than a few consider the relevance of geographical location. In going some way to rectify this, our paper...

In this paper I develop a consistent estimator of the population average treatment effect (PATE) which is based on a nonstandard version of the Oaxaca–Blinder decomposition. As a result, I extend the recent literature which has utilized the treatment effects framework to reinterpret this...

Using data from a new longitudinal survey of doctors from Australia, the authors test whether observed large gender-pay gaps among general practitioners (GPs) are the result of women's larger willingness to interrupt their careers. On average, female GPs earn A$83,000 or 54% less than male GPs....