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2018
In this study we aim to identify and measure the external returns to human capital in Brazil using information from the Ministry of Labor’s Annual Social Information Report (RAIS) on all urban agglomeration in the country for the period 2002-2014. With a two step estimation and using instrumental variables for identification we find a considerable effect of local human capital concentration on local wages. The set of results indicates that, in the case of brazilian labor market areas, the external returns to human capital are a 0.86% increase in local wages for an increase of one percentage point in college graduates. Consistent with theoretical expectations and similar to literature results, we also found that the impact of local human capital is stronger for unskilled than for skilled workers. Finally, results are robust and not equally distributed across sectors
2020
This study analyses the effects of the expansion of the highly skilled labour force (higher education) on the per capita income increase in Brazilian municipalities. The results show that a larger highly educated labour force translates into stronger growth in the most developed municipalities with fewer opportunity costs, measured by wage differences. The reduction of regional inequalities fostered by the expansion of higher education over the past 15 years will become sustainable if the increase in the skill supply is accompanied by a rise in demand, so the opportunity costs between factors are reduced and the skill premium grows.
2006
This paper investigates the sources of wage inequality across Brazilian regions. Duarte, , using a semi-parametric approach based on DiNardo, , show that income differences across the Southeast and Northeast can be explained by educational disparities across their population. This result implies that any policy recomendation should prescribe direct investments in education in order to narrow the regional income gap. In this paper we apply the methodology developed by Machado and Mata (2004), based on quantile regression and resampling techniques, for the metropolitan areas of Brazilian Southeast and Northeast. The technique allows us to decompose the wage inequality across regions into a part that can be attributed to changes in workers' observable characteristics and another to changes in the returns to these characteristics. First we show that the difference between NE and SE wage distribution has a higher mass on the lower tail, and lower density on the upper tail, resulting from the well known fact that Northeast have a higher number of people living on poverty and lower number of people on high paying occupations compared to Southeast. Both returns to skills and workers' observed characteristics have an impact on this result. However, different from what Duarte et al show on their paper, schooling did not respond for this wage inequality across the two regions. Returns to schooling did have a higher impact on wage inequality than the distribution of education per se. These results imply that investments on education alone may not be enough to narrow regional income inequality since the availability of capital and quality of education may be driving those results.
2004
The role of the accumulation of human capital to per capita income growth has been sharply debated among economists and policy makers. One open question of this debate is how to measure human capital. The standard approach is to use the average years of educa-* Financial support by the Portuguese Foundation for Science and Technology (grant POCTI/47624/2002) is gratefully acknowledge. 1 of human capital accumulation are unmeasured. Also, it is assumed that the productivity differentials among workers with different levels of schooling are proportional to their years of education. In order to solve these problems, we develop the Mulligan and Sala-i-Martin's measure of human capital based, on labour income. This measure has some nice properties: is consistent with variable elasticities of substitution across types of workers, and does not impose all workers with the same amount of education to have the same amount of skill. It is also allowed for changes in the relative productivities over time and across different economies.We compute the index at the firm level and, finally, and we compare the evolution of our index with the evolution of average years of education for the Portuguese regions, highlighting the shortcomings of the latter measure of human capital.
Revista Economia, 2007
Revista Brasileira de Economia, 2006
This paper examines the impact of the education composition of the workforce and of the changing returns to schooling on the dispersion of male labor earnings in Brazil in the last twenty years. It applies a quantile regression approach to a polynomial on age, time and interactions, using repeated cross-sections of a large Brazilian annual household survey.
Ersa Conference Papers, 2004
The role of the accumulation of human capital to per capita income growth has been sharply debated among economists and policy makers. One open question of this debate is how to measure human capital. The standard approach is to use the average years of education of the labour force or the school enrolment rates as proxies for the stock of human capital. However, formal schooling achievement does not fully capture all the human capital stock. In fact, other forms * Financial support by the Portuguese Foundation for Science and Technology (grant POCTI/47624/2002) is gratefully acknowledge. 1 of human capital accumulation are unmeasured. Also, it is assumed that the productivity differentials among workers with different levels of schooling are proportional to their years of education. In order to solve these problems, we develop the Mulligan and Sala-i-Martin's measure of human capital based, on labour income. This measure has some nice properties: is consistent with variable elasticities of substitution across types of workers, and does not impose all workers with the same amount of education to have the same amount of skill. It is also allowed for changes in the relative productivities over time and across different economies.We compute the index at the firm level and, finally, and we compare the evolution of our index with the evolution of average years of education for the Portuguese regions, highlighting the shortcomings of the latter measure of human capital.
SSRN Electronic Journal, 2000
We combine growth theory with US Census data on individual schooling and wages to estimate the aggregate return to human capital and human capital externalities in cities. Our estimates imply that a one-year increase in average schooling in cities increases their aggregate labor productivity by 8 to 11 percent. We find no evidence for aggregate human capital externalities in cities however. Our main theoretical contribution is to show how aggregate human capital externalities can be identified when workers with different human capital are imperfect substitutes in production.
Review of Regional Studies
The purpose of this paper is to test if the New Economic Geography hypothesis concerning the existence of a spatial wage structure applies to the state of Rio Grande do Sul, Brazil. The first part of the study applies several spatial analysis techniques, in order to locate industrial clusters and calculate the market potential of the municipalities studied. The second part uses this information, together with demographic data, to run wage regressions aimed at capturing the effects of agglomeration and urban economies on individual wages. The results do not falsify the hypothesis that nominal wages, using the proper controls, are higher in municipalities with higher market potential, and lower in the economically disadvantaged hinterland of the state.
Regional Studies, 2015
Investments in human capital are essential themes in many policy programs. Besides the direct private returns of education, there is evidence of positive human capital externalities at the level of regions and firms. Our results show that both production and consumption externalities have positive effects on wages. Production externalities are transmitted at the level of firms and not at the regional level. For workers in low skilled jobs, consumption externalities dominate production externalities. Workers on low skilled jobs earn higher wages when working in co-operation with workers in high skilled jobs, while for low educated workers such co-operation with high educated workers is negative.
The Journal of Development Studies, 2006
This paper estimates changes in the rates of return to human capital across the earnings distribution using data from over a 10-year period for Brazil. It uses these estimates to simulate the separate impacts of changes in returns to skills and changes in the supply of skills on earnings inequality. Evidence points strongly to growing inequality in rates of return to education in Brazil. This finding suggests that recent macroeconomic and trade reforms have been of most benefit to the skilled rather than the unskilled. Supporting evidence points to an improved competitiveness in the labour market, with workers increasingly rewarded for productivity. However, although increases in returns to education are more pronounced at the top of the earnings distribution, this did not in practice led to increased inequality. This is because levels of education and other labour market-rewarded endowments have increased and offset the rate of return effect. Appropriate education policy is therefore an essential partner for macroeconomic and trade reform if a developing economy is to avoid worsening income inequality.
Policy Research Working Papers, 2003
This paper undertakes an empirical examination of rates of return to human capital for men in Brazil through the period of macroeconomic stabilization and trade liberalization, using data from the PNAD household surveys. Simultaneous quintile equations are estimated to gain a picture of the impact of human capital on earnings across the hourly earnings distribution. We conclude that there is evidence for growing inequality in rates of return to education in Brazil. However we find evidence that education is no longer used as a screening device in the labor market, but rather rewarded for its innate association with higher productivity. Although increases in rates of return to education have been more pronounced at the top of the earnings distribution, this has not led to increased inequality. This is because levels of education and other labor market-rewarded endowments have increased and offset the rate of return effect.
2015
We provide evidence of private returns to education and of externalities which jointly render social returns to education in Colombia. The spillover is generated by the share of collegeeducated workers within the working-age population. Thus, the higher this share in the cities, the higher the wages. The size of the externality is about 1.13; that is, an increase of one percentage point in the share will increase wages by 1.13%. For mid-to-high and high educated workers the externality is about 1.07 and 1.3 while for low educated workers it is 0.92,. The public policy program instituted by the agency in charge of promoting undergraduate and graduate education has contributed to increase wages all over the country but mainly in cities different from Bogotá. A positive correlation between the size of cities and human capital agglomeration is also observed; as a result, the size of cities also has predictive power on the externality.
Papers in Regional Science, 2005
The objective of this article is to analyze wage inequality among the 10 largest metropolitan regions in Brazil in the 1990s. We assess the extent to which worker characteristics (education, age, gender, race, position in the family) and job characteristics (occupational position, sector, experience) can explain wage inequality. The analysis is made both with regional-nominal and with regional-real wage data. In the second case regional price indexes are used to control for differences in cost of living among regions. Wage differentials in Brazil were slightly lowered when control variables were introduced, but the leftover inequality remained high. The results indicate that cost of living levels do have a role in explaining wage inequality in Brazil, but even after controlling for this factor, the remaining regional differentials are still important.
RDE - Revista de Desenvolvimento Econômico, 2011
This paper examines the convergence process in Brazil over the period 1985-2004, giving a special attention to the role of human capital in this process. Different measures of human capital are used in the growth regressions and the results show that they play a significant role in explaining the economic growth process. The evidence indicates that different levels of human capital have different impacts on per capita GDP growth, depending on the level of development of the regions. Lower levels of human capital explain better the convergence among the less developed states and higher levels of human capital are more adequate among the more developed states.
The Annals of Regional Science, 2012
This paper uses administrative data to follow Brazilian workers over time and examine what happens to the inter-regional wage differentials after controlling for unmeasured workers' characteristics that are fixed over time. Since the data allow us to track the same workers over the years, we are in the unusual position of obtaining the individual wages before and after the migration process. As a significant share of workers changed States in the sample period, it is possible to examine to what extent the wage differentials reflect the concentration of high skilled individuals in some States. The results show that the overall wage variability across States drops to almost one third of its original value and the ranking of the State effects is significantly altered after we take into account the workers' fixed effects. A great deal of the inter-regional differentials, therefore, reflects differences in the average ability of workers across States.
Economics of Education Review, 1993
This paper accomplishes two tasks. First, new estimates of rates of return to education for Brazil in 1989 are presented. The rate of return to an additional year of schooling is estimated to range between 12.8 and 15.1%. Less restrictive parameterizations reveal that the earnings-education profile is convex. Second, the customary Mincerian methodology used to estimate the rate of return from schooling is modified to capture the wage effects of changes in the educational structure of the labor force. This is accomplished by including labor market condition controls in earnings equations. The results suggest that workers with less than university education compete with each other (are substitutes) while workers at the upper end of the educational spectrum are complements to those with less education.
Earnings inequality has started to decrease in Brazil in recent years, after remaining very high for decades. We describe this decline using a flexible decomposition technique and assess the contributions of education and experience. We conclude that the main factors leading to the reduction of inequality in Brazil are the drop in education earnings differentials and the decline in the dispersion within demographic groups. The paper demonstrates the powerful impact that education can have on reducing inequality.
2011
Apresentam-se evidências de que os efeitos de espraiamento do conhecimento têm um traço setorial importante, ao menos na economia brasileira. Utilizando a base de dados da PNAD 2008, é mostrado que o salário indivídual é influenciado positiva e significativamente pela fração de pessoas no seu setor que tem pelo menos um mestrado. Adicionalmente, são mostradas evidências de que a fração de pessoas de determinada unidade federativa empregadas no setor de serviços às empresas exerce um efeito positivo e significativo sobre o salário dos indivíduos que vivem nesse estado. Ambos os resultados suportam o modelo teórico de Romer (1990) e evidenciam a existência de externalidades do capital humano em nível setorial. A terceira contribuição é fornecer evidências adicionais sobre a existência de retornos crescentes à educação no Brasil, revelando que estes retornos do não surgem em qualquer setor agregado específico.
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