In this paper, we study the return to human capital variables for wages of workers observed in Tunisian matched worker-firm data in 1999. We develop a new method based on multivariate analysis of firm characteristics, which allows us most of the benefits obtained by introducing firm dummies in...

We show under lognormality that, when the Gini coefficient is stable over time, defining the poverty line as a fraction of a central tendency of the living standard distribution restricts the evolution of the poverty measures to be stable. That is, poverty does not change if the Gini coefficient...

From Tunisian matched worker-firm data in 1999, we study the returns to human capital for workers observed in two leading manufacturing sectors. Workers in the mechanical and electrical industries (IMMEE) benefit from higher returns to human capital than their counterparts in the...

In this paper, we study the return to human capital variables for wages of workers observed in Tunisian matched worker-firm data in 1999. This reveals us how returns to human capital in a Less Developed Country like Tunisia may differ from the industrial countries usually studied with matched...

It is not known to what extent welfare measures result from seasonal and geographical price differences rather than from differences in living standards across households. Using data from Rwanda in 1983, we show that the change in mean living standard indicators caused by local and seasonal...

In this paper, we draw some lessons from the Tunisian experience of social reforms and associated civil conflict. Our main interest is the riots that occurred after subsidy cuts and the attempts at substitution of price subsidies by direct cash transfers. We propose new welfare indicators apt to...

We study the relationship of wages and education and training practices in Morocco in a context of trade and liberalisation reforms in a matched worker-firm data of eight exporting firms in two industrial sectors: Metallurgical-Electrical industries and Textile-Clothing. We find that the...

Spatial price dispersion varies because of climatic fluctuations, marketimperfections, economic growth or economic policies. These variations areoften neglected in poverty studies.In this paper, we propose a simple simulation formula to assess the effecton poverty of a change in the spatial mean...