Showing 1 - 8 of 8
Persistent link: https://www.econbiz.de/10012289998
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...
Persistent link: https://www.econbiz.de/10005515964
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...
Persistent link: https://www.econbiz.de/10011166471
On ne sait pas dans quelle mesure les indicateurs de bien-être social résultent de différences de prix plutôt que de différences saisonnières et géographiques de niveaux de vie entre ménages. A partir de données du Rwanda en 1983, nous montrons que le changement de la mesure du niveau...
Persistent link: https://www.econbiz.de/10009366311
(english) 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...
Persistent link: https://www.econbiz.de/10005094524
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...
Persistent link: https://www.econbiz.de/10005812854
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...
Persistent link: https://www.econbiz.de/10005731284
Under lognormality assumption, we derive the parametric formula of the Watts measure, one of the main axiomatically sound poverty measures. In these conditions, we derive new properties of the Watts measure, its sensitivity to distribution parameters and its parametric standard error.
Persistent link: https://www.econbiz.de/10005110669