Comparing the poverty-reduction efficiency of targeted versus universal benefits amid crises
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 considering two different crisis scenarios, the COVID-19 pandemic and a hypothetical agricultural shock, in a tax-benefit microsimulation model for Ethiopia.
The results suggest that while the proxy-means-tested benefits are the most effective in reducing the poverty gap index, a simple categorical benefit is equally good in lowering the headcount poverty. Universal benefits may lead to lower poverty increases when crises hit.
This suggests that there could be a trade-off between minimizing poverty during normal times and offering protection against shocks when the poverty incidence changes.