A distributional approach to comparing vulnerability, applied to rural provinces in Thailand and Vietnam

Vulnerability to poverty is an important social indicator of well-being. Yet, comparisons of vulnerability over time or space lack robustness as long as they are based on single measures or use specific poverty lines. We demonstrate that a distributional analysis, based on stochastic dominance orders, can help. Using data from six rural provinces of Thailand and Vietnam, we establish cumulative distribution functions for income and consumption at the provincial level and show how they can provide ethically robust vulnerability comparisons.