In this paper we reconsider the relationship between income on health, taking a distributional perspective rather than one centered on conditional expectation. Using Structured Additive Distributional Regression, we find that the association between income on health is larger than generally...

This study analyses employment transitions of working-age women in India. The puzzling issue of low labour force participation despite substantial economic growth, strong fertility decline and expanding female education in India has been studied in the recent literature. However, no study so far...

This paper analyzes several modifications to improve a simple measure of vulnerability as expected poverty. Firstly, in order to model income, we apply distributional regression relating potentially each parameter of the conditional income distribution to the covariates. Secondly, we determine...

This paper studies the impact of an affirmative action policy on occupational segregation by gender in South Africa. We estimate effects of the Employment Equity Act of 1998, the Black Economic Empowerment Act in 2003 and the Codes of Good Conduct in 2007 on (Black) female employment in top...

Occupational and sectoral segregation by gender is remarkably persistent across space and time and is a major contributor to gender wage gaps. We investigate the determinants of one-digit occupational and sectoral segregation in developing countries using a unique, household-survey based...

Livestock has been hypothesized to be one of the major buffer stocks for consumption smoothing in rural areas of developing countries. It is therefore hard for poor farmers in the developing world to finance large investments. We test the latter by estimating a latent variable model of solar...

Semiparametric additive regression models relax the common assumption of covariate effects to have a known functional form specified by some polynomial. These models only assume that relationships are smooth and are additively separable and thus are less restrictive than common parametric...