Volume 93, Issue 300
Original Article

Income Inequality, TFP, and Human Capital

Tiago Neves Sequeira

Corresponding Author

E-mail address: sequeira@ubi.pt

Departamento de Gestão e Economia and CEFAGE‐UBI, Universidade da Beira Interior, Covilhã, Portugal

Correspondence : Tiago Neves Sequeira, Departamento de Gestão e Economia and CEFAGE‐UBI, Universidade da Beira Interior, Estrada do Sineiro, 6200‐209 Covilhã, Portugal. Email: sequeira@ubi.ptSearch for more papers by this author
Marcelo Santos

Departamento de Gestão e Economia and CEFAGE‐UBI, Universidade da Beira Interior, Covilhã, Portugal

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Alexandra Ferreira‐Lopes

Instituto Universitário de Lisboa, ISCTE‐IUL, ISCTE Business School Economics Department, BRU‐IUL (Business Research Unit), CEFAGE‐UBI, Lisboa, Portugal

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First published: 16 January 2017
Citations: 3

We gratefully acknowledge financial support from FCT ‐ Fundação para a Ciência e a Tecnologia (Science and Technology Foundation), through project PTDC/EGE‐ECO/112499/2009 and from FCT and FEDER/COMPETE, through grants UID/ECO/04007/2013 and UID/GES/00315. We are grateful to comments from participants in the CEFAGE workshop and in the 15th Eurasian Business and Economics Society Conference. The remaining errors are ours alone. Some of the results are described in the text but that are not shown for space considerations. These results are available upon request to the corresponding author.

Abstract

A fruitful recent theoretical literature has related human capital and technological development to income (and wage) inequality. However, empirical assessments on the relationship are relatively scarce. We relate human capital, total factor productivity (TFP) and openness to inequality and discover that, when countries are assumed to be heterogeneous and dependent cross‐sections, human capital is the most robust determinant of inequality, contributing to increasing inequality, as predicted by theory. TFP and openness turned out to be non‐significantly related to inequality. These results are robust to a number of robustness tests on specifications and data and open up the prospect of theoretical research on the country‐specific features conditioning the effect of human capital, technology and trade on inequality.

Number of times cited according to CrossRef: 3

  • The effects of inequality on total factor productivity across districts in South Africa: a spatial econometric analysis, GeoJournal, 10.1007/s10708-020-10215-2, (2020).
  • Inequality and growth: What comes from the different inequality measures?, Bulletin of Economic Research, 10.1111/boer.12220, 72, 2, (185-212), (2019).
  • Industry Concentration and Wage Inequality: a Directed Technical Change Approach, Open Economies Review, 10.1007/s11079-018-9513-0, (2018).

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