title: Racial Inequality in Education in Brazil: A Twins Fixed-Effects Approach.
abstract: Racial disparities in education in Brazil (and elsewhere) are well documented. Because this research typically examines educational variation between individuals in different families, however, it cannot disentangle whether racial differences in education are due to racial discrimination or to structural differences in unobserved neighborhood and family characteristics. To address this common data limitation, we use an innovative within-family twin approach that takes advantage of the large sample of Brazilian adolescent twins classified as different races in the 1982 and 1987-2009 Pesquisa Nacional por Amostra de Domicílios. We first examine the contexts within which adolescent twins in the same family are labeled as different races to determine the characteristics of families crossing racial boundaries. Then, as a way to hold constant shared unobserved and observed neighborhood and family characteristics, we use twins fixed-effects models to assess whether racial disparities in education exist between twins and whether such disparities vary by gender. We find that even under this stringent test of racial inequality, the nonwhite educational disadvantage persists and is especially pronounced for nonwhite adolescent boys.
authors.affiliation: Population Research Center, University of Texas at Austin, 305 E. 23rd Street, Stop G1800, CLA 2.798-D, Austin, TX, 78712-1699, USA. marteleto@prc.utexas.edu.
authors.forename: Letícia J
authors.initials: LJ
authors.lastname: Marteleto
authors.affiliation: Department of Sociology, American University, 4400 Massachusetts Avenue NW, Washington, DC, 20016-8072, USA.
authors.forename: Molly
authors.initials: M
authors.lastname: Dondero
mesh_terms: D000293:Adolescent; D001938:Brazil; D004493:Education / Q000706:statistics & numerical data*; D005260:Female; D006801:Humans; D008297:Male; D044469:Racial Groups / Q000706:statistics & numerical data*; D012111:Residence Characteristics / Q000706:statistics & numerical data*; D012737:Sex Factors; D012959:Socioeconomic Factors; D014427:Twins / Q000706:statistics & numerical data*
keywords: Brazil; Education; Fixed effects; Race