Risk-adjusted poverty in Argentina: measurement and determinants

Abstract

Relying on a Constant Relative Risk Aversion utility function, we use panel data for Argentina to compute risk-adjusted income and poverty measures and to analyze their determinants. Taking risk into account increases poverty. The regression analysis suggests that many household characteristics are correlated not only with the average income of the household over time, but also with income variability