Estimation of Opportunity Inequality in Brazil using Nonparametric Local Logistic Regression
结合两样本工具变量法和公理方法，通过非参数局部逻辑回归估计巴西儿童收入分布对其父亲工资的依赖，发现巴西存在较高的机会不平等。
Abstract 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.