Masterarbeit, 2005
78 Seiten, Note: A-
Chapter 1. Introduction to Poverty in Brazil
1.1. Introduction
1.2. Literature Review
Chapter 2. Brazilian Poverty Profile by Race
2.1. Data Issues
2.2. Income as an Indicator of Household Welfare
2.3. Poverty Lines
2.4. Aggregated Poverty Measures
2.4.2. FGT Class of Poverty Measures
2.4.3. Robustness Analysis
Chapter 3. Correlates of Brazilian Poverty
3.1. Regressions over the Whole Sample
3.2. Separate Regressions by Race
3.3. Interactive Regression Models
Chapter 4. Conclusions
This thesis investigates the role of race in explaining poverty in Brazil and analyzes the correlates of poverty using 2002 data. It aims to provide an accurate poverty profile of the Brazilian population with a specific focus on its racial dimension, testing the hypothesis that poverty contains a racial component not entirely explained by other factors such as education.
1.1. Introduction
Brazil is Latin America’s largest, as well as most populous, country with a population of 174 million people. Brazil is a resource rich country and has a solid industrial structure. GDP growth has been positive for most of the decade and per capita income levels are relatively high in comparison to other Latin American countries.
In 2002 expectations about presidential elections led to market uncertainty and a decline in investment. GDP growth was, however, positive for 2002 mainly due to an increase in exports. GDP growth equalled 1.5% in real terms and GDP came to R$ 1,321.5 billion at market rates in 2002.
Despite positive economic growth Brazil still shows high rates of poverty. Figure 1 below shows that the incidence of poverty in Brazil is greater than for other countries with the same level of GDP per capita.
Chapter 1. Introduction to Poverty in Brazil: This chapter provides an overview of the poverty debate in Brazil and outlines the research motivation for investigating the racial dimension of poverty.
Chapter 2. Brazilian Poverty Profile by Race: This chapter introduces the data set, discusses methodological choices regarding poverty lines and income indicators, and presents an analysis of poverty measures decomposed by race.
Chapter 3. Correlates of Brazilian Poverty: This chapter investigates the determinants of poverty through various regression models, including OLS and probit, and analyzes the influence of racial background alongside other household characteristics.
Chapter 4. Conclusions: This chapter synthesizes the research findings, discusses policy implications, and highlights the limitations of the analysis while suggesting areas for future research.
Brazil, poverty, race, inequality, household income, regression analysis, OLS, probit, PNAD, education, poverty line, social exclusion, economic growth, racial discrimination, public policy
The research aims to investigate the role of race in explaining poverty in Brazil and to analyze the correlates of poverty based on 2002 survey data.
The study relies on the Pesquisa Nacional por Amostra de Domicílios (PNAD) for the year 2002, collected by the IBGE.
The author hypothesizes that poverty in Brazil has a distinct racial component that cannot be fully explained by other variables such as education or regional location.
The analysis employs distributional poverty measures (Foster-Greer-Thorbecke class) and multivariate regression techniques, including both OLS and probit models.
The thesis covers regional disparities, demographic influences (household size, dependency), education levels, employment sectors, and racial inequality in Brazil.
The results suggest that race is a significant correlate of income and poverty, indicating that racial discrimination remains a persistent issue in Brazil.
The findings indicate that larger households with more dependent members are consistently associated with higher probabilities of being poor.
No, the study concludes that because Brazil has relatively low growth-poverty elasticities, effective public policy and resource redistribution are necessary alongside economic growth.
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