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A Nonparametric and Semiparametric Analysis on Inequality and Development: Evidence from OECD and Non-OECD Countries

  • Kui-Wai LI*
  • , Xianbo ZHOU
  • *Corresponding author for this work

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

This paper studies the income inequality and economic development relationship by using unbalanced panel data of OECD and non-OECD countries for the period 1962-2003. The nonparametric estimation results show that income inequality in OECD countries are almost on the backside of the inverted-U relationship, while non-OECD countries are approximately on the foreside, except that the relationship in both country groups shows an upturn at a high level of development. Development has an indirect effect on inequality through control variables, but the modes are different in the two country groups. The model specification tests show that the relationship is not necessarily captured by the conventional quadratic function. The cubic and fourth-degree polynomials, respectively, fit the OECD and non-OECD country groups best. Our finding is robust regardless whether the specification uses control variables. Development plays a dominant role in mitigating inequality.
Original languageEnglish
Pages (from-to)55-79
JournalEconomic and Political Studies
Volume1
Issue number2
DOIs
Publication statusPublished - Jul 2013

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 1 - No Poverty
    SDG 1 No Poverty
  2. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth
  3. SDG 10 - Reduced Inequalities
    SDG 10 Reduced Inequalities

Research Keywords

  • Kuznets inverted-U
  • nonparametric and semiparametric models
  • unbalanced panel data

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