O impacto da escolaridade sobre a distribuição de renda
DOI:
https://doi.org/10.1590/S0101-41612010000400001Keywords:
income distribution, education, semiparametric methodAbstract
This paper investigates the impact of education on income distribution of Brazilian states and regions, using a semi parametric method, following Dinardo, Fortin and Lemieux (1996) and dataset from the PNAD 1999. Contrafactual densities were constructed weighting the distribution of the poorest region/state (Northeast / Ceará) by the profile of education in the richer one (Southeast / São Paulo). Results: between 12% and 36% of the difference in income is explained by the educational differences; the weighting by education increased by about 55% the average income in counterfactuals; the counterfactual income of the Northeast amounts to 93% of the average Brazilian income; the higher the percentile considered income, the greater the contribution of the difference in schooling for the difference in income; and the income dispersion of the poorest regions increases when they provide the level of schooling of the richest regions, while the wage profile of the region is kept constant.
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of education. IPEA, 1993. (Texto para Discussão n. 311)
BARROS, R. P. de; MENDONÇA, R. Os determinantes da desigualdade no Brasil.
IPEA, 1995. (Texto para Discussão n. 377)
BARROS, R. P. de; CAMARGO, J. M.; MENDONÇA, R.. A estrutura do desemprego
no Brasil. IPEA, 1997. (Texto para Discussão n. 478)
BLINDER, A. S. Wage discrimination: reduced form and structural estimates. Journal
of Human Resources, v. 8, n. 4, p. 436-455, 1973.
BOURGUIGNON, F.; FERREIRA, F.; LEITE, P. Beyond Oaxaca-blinder: accounting
for differences in household income distributions across countries. 2002. Mimeo.
BUTCHER, K. F.; DINARDO, J. The immigrant and native-born wage distributions:
evidence from United States censuses. NBER Working Paper Series 6630, 1998.
DINARDO, J.; FORTIN, N. M.; LEMIEUX, T. Labor market institutions and the
distribution of wages, 1973-1992: A Semiparametric Approach. Econometrica,
v. 64, n. 5, p. 1001-1044, 1996.
Ferreira , P. C. Regional policy in Brazil: a review. WorldBank, 2004. Mimeo. Available
at: <http://www.fgv.br/professor/ferreira/RegionalPolicyFerreira.pdf>.
KRZANOWSKI, W. J. Non-parametric estimation of distance between groups.
Journal of Applied Statistics, v. 30, n. 7, p. 743-750, 2003.
OAXACA, R. Male-female wage differentials in urban labor markets. International Economic Review, v. 14, n. 3, p. 693-709, 1973.
PARK, B. U.; MARRON, J. S. Comparision of data-driven bandwidth selectors.
Journal of American Statistical Association, n. 85, p. 66-72, 1990.
PARZEN, E. On estimation of a probability density function and mode. The Annals
of Mathematical Statistics, v. 33, n. 3, p. 1065-1076, 1962.
PESSOA, S. Existe um problema de desigualdade regional no Brasil? 2000. Mimeo.
ROSENBLATT, M. Remarks on some non-parametric estimates of a density function.
The Annals of Mathematical Statistics, v. 27, n. 3, p. 832-837, 1956.
SHEATER, S. J.; JONES, M. C. A reliable data-based bandwidth selection method
for kernel density estimation. Journal of Royal Statistical Society, v. 53, n. 3, p. 683-690, 1991.
SILVERMAN, B. Density estimation for statistics and data analysis. London: Chapman
& Hall, 1986.
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Copyright (c) 2010 Marcio Antonio Salvato, Pedro Cavalcanti Gomes Ferreira, Angelo José Mont'Alverne Duarte
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