RSSE: Vladimír Hlásný (US ESCWA) Bottom incomes and the measurement of poverty and inequality

Start: Thursday 26. September 2024, 12:45
End: Thursday 26. September 2024, 14:15
Place: RB437
Contact person: Michaela Zemanová
Tags: #doktorandi #phd #prednaska #research #rsse #science #studenti #veda #verejnost #zamestnanci

It is our pleasure that Vladimír Hlásny (UN ESCWA) will present on Thursday, September 26, 2024, at 12:45 in room RB437 about the topic “Bottom incomes and the measurement of poverty and inequality.“


Registration is not required and anyone who would like to attend is warmly invited.

It is also possible to participate online via MS Teams at this link.


ABSTRACT: Incomes in surveys suffer from various measurement problems, most notably in the tails of their distributions. We study the prevalence of negative and zero incomes, and their implications for inequality and poverty measurement relying on 57 harmonized data sets from the Luxembourg Income Study and Economic Research Forum databases, covering 12 Mediterranean countries over the period 1995–2016. This paper explains the composition and sources of negative and zero incomes, and assesses the distributional impacts of alternative correction methods on poverty and inequality measures. It finds that the main source of negative disposable incomes is negative self-employment income, and that high tax, social security withholding, and high self-paid social security contributions account for negative incomes in some countries. Using detailed information on expenditure, we conclude that households with negative incomes are typically as well off as, or even better off than, other households in terms of material well-being. On the contrary, zero-income households are found to be materially deprived. Adjusting poverty and inequality measures for these findings can alter these measures significantly.

BIO: Economist and Co-lead of the Poverty and Inequality Project, UN ESCWA, developing knowledge products and assisting with capacity-building in the areas of poverty measurement and mitigation.