2019
DOI: 10.2139/ssrn.3399239
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Mapping Stratification: The Industry-Occupation Space Reveals the Network Structure of Inequality

Abstract: Social stratification is determined not only by income, education, race, and gender, but also by an individual's job characteristics and their position in the industrial structure. Utilizing a dataset of 76.6 million Brazilian workers and methods from network science, we map the Brazilian Industry-Occupation Space (BIOS). The BIOS measures the extent to which 600 occupations co-appear in 585 industries, resulting in a complex network that shows how industrial-occupational communities provide important informat… Show more

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Cited by 5 publications
(4 citation statements)
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References 36 publications
(55 reference statements)
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“…Brazil and South Africa have also been negatively affected by commodity price fluctuations and the threat of a Dutch disease (Bresser-Pereira 2019). Another issue that requires more in-depth analysis in subsequent research are the effects of extremely high levels of inequality and social stratification in South Africa and Brazil (Gorshkov et al, 2013;Hartmann et al, 2019c). Extreme levels of inequality can arguably lead to a lack of mutual learning and cooperation between different groups of the society-i.e.…”
Section: South Africamentioning
confidence: 99%
“…Brazil and South Africa have also been negatively affected by commodity price fluctuations and the threat of a Dutch disease (Bresser-Pereira 2019). Another issue that requires more in-depth analysis in subsequent research are the effects of extremely high levels of inequality and social stratification in South Africa and Brazil (Gorshkov et al, 2013;Hartmann et al, 2019c). Extreme levels of inequality can arguably lead to a lack of mutual learning and cooperation between different groups of the society-i.e.…”
Section: South Africamentioning
confidence: 99%
“…To sum up, differently from the variables' definitions typically used in the network-based literature on job and skills spaces 10,[40][41][42][44][45][46][47] discussed in the introduction, we employ a novel methodology for defining job fitness and skill complexity, and provide a sounder and statistically validated definition of occupational skill relatedness. This approach yields a richer quantitative description of the underlying complexity and coherence of occupational skill requirements, transcending conventional top-down job categorizations and offering insights into the wage implications of the structure of different skill sets.…”
Section: Discussionmentioning
confidence: 99%
“…Axtell et al 42 and Lopez et al 43 used a firm-level labor flow network to propose a microfoundation for frictional unemployment and to study the network interactions of job mobility and firm dynamics. Hartmann et al 44 analysed socio-economic segmentation based on job co-occurrences in Brazilian industries. Focusing on US cities, Muneepeerakul et al 45 investigated productivity dynamics through job co-location; while Farinha et al 46 studied the impact of job relatedness on entry/exit dynamics in the occupational structure using co-locations and co-occurrences of tasks or skills.…”
mentioning
confidence: 99%
“…This analysis is crucial because Brazil has managed to decrease poverty and inequality by increasing social expenditures, such as conditional cash-transfer programs, enabling more than 29 million Brazilians to leave poverty between 2003(World Bank 2018. However, Brazil continues to be a highly unequal and structurally heterogeneous country (Hartmann et al 2019). Moreover, it continues to face bureaucratic, economic, and political inefficiencies, and a large number of cases of corruption may undermine the efficiency and effectiveness of social expenditures (Osipian 2013;Sousa et al 2017).…”
Section: The Brazilian Challenges To Developmentmentioning
confidence: 99%