Despite the multitude of measures of multidimensional inequality, none is regularly used in policymaking. The by Michael Lokshin and James Foster proposes multidimensional inequality measures that are easily implementable and transparent and overcome many deficiencies of existing measures. The measures follow a traditional two-stage format aggregating dimensions first and then applying a unidimensional measure like the Gini coefficient to the distribution of aggregates. The paper also introduces an approach to calibrating the measure for use with data over time and illustrates the technology using synthetic data first and then using real data from Azerbaijan.
DETAILS
- DATE: MAY 22, 2024
- TIME: 10:00 - 11:30 AM EDT
- CHAIR: Ivailo Izvorski, Chief Economist for Europe and Central Asia at the World Bank
- CONTACT: Office of the Chief Economist Office in Europe and Central Asia
- ECACEoffice@worldbank.org