2015
DOI: 10.1111/rurd.12037
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Income Inequality in the Urban and Rural Sectors of the Northeast Region of Brazil

Abstract: In this study, we conduct an analysis of the main determinants of personal income inequality in both urban and rural areas of the Northeast region of Brazil. An earnings equation was estimated and the Shapley value was used in its decomposition. The results show that education and worker experience are the most relevant variables to explain the high index of inequality in earnings in both the rural and urban areas of the Northeast region of Brazil. Moreover, discrimination in the labor market is also an import… Show more

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Cited by 4 publications
(3 citation statements)
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“…These studies in general investigate the determinants of regional income disparities in an econometric framework employing different techniques. For instance, Breau (2015) employs multi-level models in order to explain differences and variances in the spatial distribution of earnings in Canada, Cristescu (2015) attempts to describe the factors that have an impact on the regional earnings and earnings inequality in Romania within a panel-data framework, Zhou (2014) examines the increasing earnings inequality by employing variance function regressions in order to decompose the growth in earnings inequality, Pereira and Galego (2015) investigates inequality in Portugal by focusing on wage differentials within regions by using a quantile-based decomposition technique, Santos and Vieira (2015) estimated earnings equation and used Shapley value in its decomposition in order to investigate the main causes of personal income inequality in both rural and urban Brazil.…”
Section: Related Literaturementioning
confidence: 99%
“…These studies in general investigate the determinants of regional income disparities in an econometric framework employing different techniques. For instance, Breau (2015) employs multi-level models in order to explain differences and variances in the spatial distribution of earnings in Canada, Cristescu (2015) attempts to describe the factors that have an impact on the regional earnings and earnings inequality in Romania within a panel-data framework, Zhou (2014) examines the increasing earnings inequality by employing variance function regressions in order to decompose the growth in earnings inequality, Pereira and Galego (2015) investigates inequality in Portugal by focusing on wage differentials within regions by using a quantile-based decomposition technique, Santos and Vieira (2015) estimated earnings equation and used Shapley value in its decomposition in order to investigate the main causes of personal income inequality in both rural and urban Brazil.…”
Section: Related Literaturementioning
confidence: 99%
“…Sridhar 2017gives the research results about the specializations and its process of Indian cities and towns, as well as about "the specialization identified as a result of local advantages versus industry or national economic growth". The analyses of the Northeast region of Brazil show that "education and worker experience are the most relevant variables to explain the high index of inequality in earnings in both the rural and urban areas" (Santos, Vieira, 2015).…”
Section: Overview Of Previous Researchmentioning
confidence: 99%
“…Using a quantile-based decomposition technique, Pereira and Galego (2015) focus on the evolution of intra-regional wage inequality between 1995 and 2005 in the regions of Portugal. Similarly, Santos and Vieira (2015) follow up with a method to search for the factors of personal income inequality in both urban and rural areas of Brazil. Mendoza-Velazquez et al (2019) study the convergence among Mexican states during the 1940-2010 period.…”
Section: Introductionmentioning
confidence: 99%