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A Nonparametric and Semiparametric Analysis on Inequality and Development

Evidence from OECD and Non-OECD Countries

Bibliographic Data

ID13119237
AuthorsKui‐wai Li (0000-0001-9834-0027, Global Affairs Canada, corresponding author), Xianbo Zhou (0000-0001-6375-8079, Lingnan University)
Year2013
Volume1
Issue2
Pages55-79
Publication date2013-07-01
Open AccessNo
TypeARTICLE
VenueEconomic and Political Studies (JOURNAL)
Journal identifiersISSN: 2470-4024 • E-ISSN: 2095-4816
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1080/20954816.2013.11673860
OpenAlexW2282624773
LanguageEN

This paper studies the income inequality and economic development relationship by using unbalanced panel data of OECD and non-OECD countries (regions) for the period 1962-2003. The nonparametric estimation results show that income inequality in OECD countries is 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 of whether the specification uses control variables. Development plays a dominant role in mitigating inequality

Control variable · Demographic economics · Econometrics · Economic inequality · Economics · Inequality · Nonparametric statistics · Panel data · Quadratic equation · Statistics · Mathematics · Regional Development and Policy

Highly citedNo

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