2008
DOI: 10.1590/s0103-20032008000300002
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Abstract: Resumo: Este trabalho estuda os diferenciais e os determinantes salariais dos empregados na agricultura brasileira, no período de 1981 a 2005, com base nas informações das Pesquisas Nacionais por Amostra de Domicílios (PNAD), do IBGE. Foi utilizada a metodologia de Heckman para corrigir viés de seleção, comum em equações salariais estimadas por Mínimos Quadrados Ordinários, além da decomposição de Oaxaca-Blinder, para analisar os diferenciais salariais entre 1981 e 2005. Entre os determinantes salariais, foram… Show more

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Cited by 10 publications
(12 citation statements)
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References 13 publications
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“…We found that average income is approximately 51.43% smaller in the Northeast. Relatively higher labor incomes in the Center-West were also found by Cunha (2008), when analyzing agriculture alone in 2005, and by Pinto & Cunha (2014), analyzing agriculture in 2012. Specifically, Cunha's (2008) results demonstrate that these relative income gains in the Center-West intensified sharply between 1980 and 2005.…”
Section: Earnings Equation Estimation Resultsmentioning
confidence: 84%
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“…We found that average income is approximately 51.43% smaller in the Northeast. Relatively higher labor incomes in the Center-West were also found by Cunha (2008), when analyzing agriculture alone in 2005, and by Pinto & Cunha (2014), analyzing agriculture in 2012. Specifically, Cunha's (2008) results demonstrate that these relative income gains in the Center-West intensified sharply between 1980 and 2005.…”
Section: Earnings Equation Estimation Resultsmentioning
confidence: 84%
“…From another perspective, a greater income differential related to schooling is observed in the agribusiness sector, with the income differential between those with more and less schooling being greater than that observed in other economic sectors (the highest schooling level is an exception). Cunha (2008), who specifically analyzed the agricultural sector, found that the income differential associated with schooling decreased between 1980 and 2005, especially in the last decade. Nevertheless, after analyzing agriculture and livestock, Pinto & Cunha (2014) corroborated that schooling was one of the most important drivers in the search for higher income in the sector between 2002 and 2012.…”
Section: Earnings Equation Estimation Resultsmentioning
confidence: 99%
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“…Regarding the analysis of income inequalities in rural areas, the studies by Hoffmann (1993), Correa and Figueiredo (2006), Cunha (2008), among others, stand out. However, it is important to note that these studies considered only the sample expansion factor (weight), disregarding the entire sample plan in it analyzes, ignoring, for example, stratification and conglomeration information.…”
Section: Previous Studiesmentioning
confidence: 99%