Tuesday, June 23, 2026
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Measuring Inequality of Opportunity in Asia and the Pacific

Working Paper 2026-696

Abstract

This paper aims to contribute to an understanding of the extent, nature and persistence of unfair inequality in the Asia Pacific region, building on a rich literature on the measurement of inequality of opportunity (IOp). As part of a project to build a global database of IOp, the paper uses microdata from 39 nationally representative household surveys to present IOp estimates for 14 countries that account for about three-quarters of the region’s population. We use consistent data protocols to ensure a high degree of cross-country comparability of IOp estimates. A distinguishing feature of the exercise is the use of machine learning methods to construct IOp estimates, which efficiently balances the risks of potential under- or over-fitting. The results show that, on average, nearly two-fifths of income or consumption inequality across the Asia-Pacific region represents inequality of opportunity attributable to inherited circumstances, though with wide variation across countries, ranging from about a quarter to over half. The cross-country variation in IOp is consistent with a Great Gatsby curve for the Asia-Pacific. A decomposition analysis assesses the relative contributions of different circumstances to IOp.

Authors: Gaurav Datt, John Nguyen, Pedro Salas-Rojo, Francisco H.G. Ferreira, Paolo Brunori,
Vito Peragine, Albert Park, Arturo Martinez Jr., Joseph Albert Nino Bulan

Keywords: inequality of opportunity, economic mobility, Asia-Pacific, machine learning
JEL: D31, D63, O15