household welfare and poverty measures based on the financial concept of risk aversion and the volatility in welfare, measured …Forward-looking poverty analyses are essential for targeting and implementing poverty prevention interventions. In the … presence of uncertainty and risk, the current poverty status of households is not a good indicator of whether they will be poor …

We investigate the accuracy of ex ante assessments of vulnerability to income poverty using cross-sectional data and … panel data. We use long-term panel data from Germany and apply different regression models, based on household covariates … and previous-year equivalence income, to classify a household as vulnerable or not. Predictive performance is assessed …

households headed by men. We analyze the determinants of consumption, shock exposure and vulnerability to poverty. Using unique … and less vulnerable to poverty than households with a male head. In Vietnam de jure female-headed households are … consumption poorer and more vulnerable to poverty. In Thailand de jure female-headed households do not differ significantly from …

Economic volatility remains a fact of life in Sub Saharan Africa (SSA). Household-level shocks create large consumption … fluctuations, raising the incidence of poverty. Drawing on micro-level data from South Africa and Tanzania, we examine the … vulnerability to shocks across household types (e.g. by education, ethnic group, and economic activity) and we quantify the impact …

Abstract: Informal risk-sharing is often cited as a key factor for sustainable poverty alleviation in developing … informal risk-sharing more reliable, thus alleviating the vulnerability to poverty. Even in areas with developed financial … to poverty will be reduced but not vanish if households participate in the formal risk-sharing market. Confucian culture …

We investigate the accuracy of ex ante assessments of vulnerability to poverty using cross-sectional data and panel … data. We use long-term panel data from Germany and apply different regression models, based on household covariates and … previous-year equivalence income, to classify a household as vulnerable or not. Predictive performance is assessed using the …

We investigate the accuracy of ex ante assessments of vulnerability to income poverty using cross-sectional data and … panel data. We use long-term panel data from Germany and apply different regression models, based on household covariates … and previous-year equivalence income, to classify a household as vulnerable or not. Predictive performance is assessed …

fixed and future income is uncertain, such measurement does not reflect the ex ante risk of falling into poverty. This paper …Poverty indices are usually calculated on the basis of (cross section) income data from the past. As past income is … presents refinements of commonly used poverty measures to account for income risk. It is shown that the standard headcount …

's well-being even if ex post her income is above the poverty line. Second, poverty measurement should take into account time …. The longer a period of deficient income lasts the worse is the situation of the individual or household in poverty. The …Poverty indices are usually calculated on the basis of cross section income data. As an indicator of well-being the …

the measurement of poverty is ex post and thus, public interventions are directed at helping those who have been …The reduction of poverty is at the heart of the development agenda both nationally and globally. This is reflected in … identified as poor, the government must broaden the scope of assessments and take account of the dynamics in poverty in public …