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Regional or educational disparities? a counterfactual exercise

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  • Ferreira, Pedro Cavalcanti
  • Salvato, Márcio Antônio
  • Duarte, Angelo José Mont'Alverne

Abstract

This work investigates the impact of schooling Oil income distribution in statesjregions of Brazil. Using a semi-parametric model, discussed in DiNardo, Fortin & Lemieux (1996), we measure how much income diíferences between the Northeast and Southeast regions- the country's poorest and richest - and between the states of Ceará and São Paulo in those regions - can be explained by differences in schooling leveIs of the resident population. Using data from the National Household Survey (PNAD), we construct counterfactual densities by reweighting the distribution of the poorest region/state by the schooling profile of the richest. We conclude that: (i) more than 50% of the income di:fference is explained by the difference in schooling; (ii) the highest deciles of the income distribution gain more from an increase in schooling, closely approaching the wage distribution of the richest region/state; and (iii) an increase in schooling, holding the wage structure constant, aggravates the wage disparity in the poorest regions/ states.

Suggested Citation

  • Ferreira, Pedro Cavalcanti & Salvato, Márcio Antônio & Duarte, Angelo José Mont'Alverne, 2004. "Regional or educational disparities? a counterfactual exercise," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 532, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    • Handle: RePEc:fgv:epgewp:532
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    Cited by:

    1. Flôres Junior, Renato Galvão, 2004. "On the use (fulness) of CGE modelling in trade negotiations and policy," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 564, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    2. Mardukhi, Jian, 2010. "The General Equilibrium Wage Impact of Trade-Induced Shifts in Industrial Compositions of Employment in Brazilian Cities, 1991-2000," MPRA Paper 25916, University Library of Munich, Germany.
    3. Ricardo Carvalho De Andrade Lima & Raul Da Mota Silveira Neto, 2016. "Physical and Human Capital and Brazilian Regional Growth: A Spatial Econometric Approach for the Period 1970–2010," Regional Studies, Taylor & Francis Journals, vol. 50(10), pages 1688-1701, October.
    4. Skoufias, Emmanuel & Katayama, Roy, 2009. "Sources of Welfare Disparities across and within Regions of Brazil: Evidence from the 2002-03 Household Budget Survey," Policy Research Working Paper Series 4803, The World Bank.
    5. Emmanuel Skoufias & Gladys Lopez-Acevedo, 2009. "Latin America - Determinants of Regional Welfare Disparities within Latin American Countries : Synthesis," World Bank Publications - Reports 3048, The World Bank Group.
    6. Xiao, Zhijie & Lima, Luiz Renato Regis de Oliveira, 2004. "Purchasing power parity and the unit root tests: a robust analysis," FGV EPGE Economics Working Papers (Ensaios Economicos da EPGE) 552, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil).
    7. Lall, Somik V. & Timmins, Christopher & Yu, Shouyue, 2009. "Connecting lagging and leading regions : the role of labor mobility," Policy Research Working Paper Series 4843, The World Bank.
    8. Juliana Ferraz Guimarães & Tiago Cavalcanti & Raul Silveira Neto, 2006. "Accounting For Labor Income Differences In Brazil: The Role Of Human Capital," Anais do XXXIV Encontro Nacional de Economia [Proceedings of the 34th Brazilian Economics Meeting] 35, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].

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