Estimation of Opportunity Inequality in Brazil using Nonparametric Local Logistic Regression
This article measured opportunity inequality in Brazil by combining a series of theoretical and empirical tools. The database was built using a two-sample instrumental variable (TSIV), developed by Angrist and Krueger. After that, the axiomatic approach put forward by O'Neill et al. was used, in which the estimation of children's income distribution function is conditional on their fathers' wages. The inference process was based on nonparametric local logistic regression. The results indicate that Brazil has a high level of opportunity inequality. In other words, in the context of intergenerational mobility, those whose fathers belong to lower income strata have to expend greater effort in order to attain a certain income level.
Volume (Year): 46 (2010)
Issue (Month): 9 ()
|Contact details of provider:|| Web page: http://www.tandfonline.com/FJDS20|
|Order Information:||Web: http://www.tandfonline.com/pricing/journal/FJDS20|
When requesting a correction, please mention this item's handle: RePEc:taf:jdevst:v:46:y:2010:i:9:p:1593-1606. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Michael McNulty)
If references are entirely missing, you can add them using this form.