The debate over universal basic income (UBI) has gained traction in the developing world in recent years. We analyse the effects of four UBI schemes on poverty and inequality measures during normal times and times of crisis in Uganda and Zambia. We use static microsimulation models and...

This study evaluates which type of benefit-a universal benefit, a proxy mean-tested benefit, or a categorical benefit- better cushions the poverty effects of income shocks in a developing economy. We compare the effectiveness of the three benefit schemes on poverty first conceptually and then by...

Analysing a large sample of 1980 - 2004 unbalanced panel data, the current study presents comparative global evidence on the role of (income) inequality in poverty reduction. The evidence involves both an indirect channel via the tendency of high inequality to decrease the rate at which income...

This paper develops a normative approach to the measurement of ex-ante inequality of opportunity in a multidimensional setting - that is, when the individual outcome is represented by a multidimensional variable. We characterize three classes of social welfare functions, all endorsing ex-ante...

In this paper we make estimates of the potential short-term economic impact of COVID-19 on global monetary poverty through contractions in per capita household income or consumption. Our estimates are based on three scenarios: low, medium, and high global contractions of 5, 10, and 20 per cent;...

This paper provides a preliminary assessment of COVID-19's impact on global poverty in the light of the IMF's April 2020 growth forecasts. The analysis shows that the pandemic will have dramatic consequences, eroding many of the gains recorded over the last decade in terms of poverty reduction....

This paper makes a set of estimates for the potential impact of the COVID-19 pandemic on poverty incidence, intensity, and severity in developing countries and on the distribution of global poverty. We conclude there could be increases in poverty of a substantial magnitude-up to 400 million new...

Using detailed microdata, we document how migration-dependent households are especially vulnerable during the COVID-19 pandemic. We create pre- and post-COVID panel datasets for three populations in Bangladesh and Nepal, leveraging experimental and observational variation in prior migration...

We measure multidimensional poverty in India using National Sample Survey Organization data from 2014-15 to 2017-18. We use income, health, education, and standard of living to measure the MPI. The MPI headcount declined from 26.9 to 13.75 per cent over the study period. The all-India estimates...

The social and ecomomic impact of COVID-19 has been deep, wide-ranging, and multidimensional. While anecdotal evidence of distress among the poor, particularly those with informal occupations, has been widespread, effective policy response has required real-time, researched data disaggregated...