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Measuring Inequality of Opportunity in Asia and the Pacific

Author

Listed:
  • Pedro Salas Rojo

    (CUNEF University)

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.

Suggested Citation

  • Pedro Salas Rojo, 2026. "Measuring Inequality of Opportunity in Asia and the Pacific," Working Papers 696, ECINEQ, Society for the Study of Economic Inequality.
  • Handle: RePEc:inq:inqwps:ecineq2026-696
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    Keywords

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    JEL classification:

    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

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