2000
DOI: 10.2139/ssrn.1814668
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Geography and Income Convergence Among Brazilian States

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Cited by 32 publications
(30 citation statements)
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“…These differences are driven primarily between the huge gaps in the level of development between northern 22 and southern Brazil. There are large human capital differences between north and south which are assuredly only imperfectly captured by our coarse control variables and which are correlated with the weather (Azzoni et al, 2000). There are also differences in the level of capital stock and infrastructure.…”
Section: Real Wages and Amenitiesmentioning
confidence: 99%
“…These differences are driven primarily between the huge gaps in the level of development between northern 22 and southern Brazil. There are large human capital differences between north and south which are assuredly only imperfectly captured by our coarse control variables and which are correlated with the weather (Azzoni et al, 2000). There are also differences in the level of capital stock and infrastructure.…”
Section: Real Wages and Amenitiesmentioning
confidence: 99%
“…To our knowledge, the only study that uses this approach is Azzoni et al (2000) who explain per capita income by geographic variables, labour force and human capital variables. They find conditional income convergence across Brazilian states.…”
Section: Literaturementioning
confidence: 99%
“…According to our estimates, The Gini coefficient of the distribution of municipal GDP per capita was above 0.45 in 1872 and remained above 0.4 from 1940 to 1980 when it started declining to reach 0.3 in 2000. Moreover, Theil decomposition exercises show that the contribution of the interregional component to inequality of municipal GDP per capita increased systematically from 20% in 1872 to almost 50% in 2000 (Barros et al 1995;Azzoni 1997Azzoni , 1999Azzoni et al 2000).…”
Section: Introductionmentioning
confidence: 99%