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, i...
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| Veröffentlicht in: | The Journal of development studies 2010-10, Vol.46 (9), p.1593-1606 |
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| container_issue | 9 |
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| container_title | The Journal of development studies |
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| creator | de Figueiredo, Erik Alencar Ziegelmann, Flávio Augusto |
| description | 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. |
| doi_str_mv | 10.1080/00220388.2010.500661 |
| format | Article |
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| ispartof | The Journal of development studies, 2010-10, Vol.46 (9), p.1593-1606 |
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| source | RePEc; Business Source Complete; Sociological Abstracts |
| subjects | Brazil Children Empirical research Estimates Estimation Fathers Income Income Distribution Inequality Intergenerational Mobility Intergenerational relations Low Income Groups Regression analysis Wages |
| title | Estimation of Opportunity Inequality in Brazil using Nonparametric Local Logistic Regression |
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