Does education reduce wage inequality? Quantile regression evidence from 16 countries

By Pedro S. Martins, P. Pereira. 2004

435 citations recorded by the source corpus.

Quantile regression estimates of returns to education are used to address the relation between schooling and wage inequality. Empirical evidence for male workers from 16 countries for the mid1990s suggests a robust stylised fact: Returns to schooling are higher for the more skilled individuals, conditional on their observable characteristics. This suggests that schooling has a positive impact upon within-levels wage inequality. Factors such as over-education, ability– schooling interactions and school quality or different fields of study may be driving this result. D 2003 Elsevier B.V. All rights reserved.

Subfields: Economics and Econometrics, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/ac6d6ca7ff0d02c03e9032b8a575bce546550a64

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Citations in the corpus

Changes in Compulsory Schooling, Education and the Distribution of Wages in Europe (2009, positive): “When we treat education as exogenously assigned to individuals, we find that one additional year of schooling increases conditional wage inequality both for males and for females, in line with previous findings in the US (Buchinsky, 1994) and Europe (Martins and Pereira, 2004).”
Quantile cointegration in the autoregressive distributed-lag modeling framework (2015, methodology): “2Quantile regression models have been widely used in a number of fields, notably the analysis of stock market returns (e.g., Barnes and Huhes, 2002) and in labour economics (e.g., Martins and Pereira, 2004).”
Do remittances improve income inequality? An instrumental variable quantile analysis of the Kenyan case (2016, background): “In these graphs, the bars represent the counts of the number of households receiving that level of remittances, whereas 7 See, for example, Buchinsky (1994a, 1994b); Martins and Pereira (2004a, 2004b), and Melly (2005).”
Overqualification, Job Dissatisfaction, and Increasing Dispersion in the Returns to Graduate Education (2010, methodology): “earnings regressions (as shown for both sexes combined in Martins and Pereira, 2004 ),”