171 resultados para microdata


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Esta dissertação baseia-se na criação de uma taxa não inflacionária da capacidade utilizada (NIRCU) para economia brasileira, utilizando microdados da Sondagem da Indústria de Transformação e Índice de Preços ao Produtor Amplo – M (IPA-M), pesquisas desenvolvidas pela FGV/IBRE. Foram criadas três taxas: NIRCU Sondagem, NIRCU Coincidente e NIRCU Antecedente. A primeira utiliza apenas dados da sondagem e a ideia é verificar que não há pressão inflacionária quando as empresas informam para sondagem que não irão variar os seus preços para os próximos três meses e que o número de turnos trabalhado é igual à média do setor. Já as demais, cruzam as informações das empresas que respondem tanto a Sondagem da Indústria de Transformação quanto no IPA-M e verifica se as que informam que não irão alterar os seus preços nos próximos três meses se concretiza quando comparados às variações do índice. A diferença entre as duas últimas abordagens é que a primeira, NIRCU Coincidente, verifica no mesmo período e a outra, NIRCU Antecedente, no trimestre seguinte. A forma encontrada para verificar a eficácia dos indicadores em mensurar a existência de pressão inflacionária foi inserir os diferentes hiatos de produto das NIRCU no modelo de Curva de Phillips, usando a metodologia de Mínimos Quadrados Ordinários (MQO). De acordo com as estimativas, a NIRCU Antecedente foi a única das três que não apresentou um bom desempenho no resultado; as NIRCU Sondagem e Coincidente tiveram uma performance muita boa, principalmente a última. Ou seja, esses dois indicadores tiveram um resultado tão bom quanto as mais tradicionais medidas de hiato de produto.

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Insurance provision against uncertainties is present in several dimensions of peoples´s lives, such as the provisions related to, inter alia, unemployment, diseases, accidents, robbery and death. Microinsurance improves the ability of low-income individuals to cope with these risks. Brazil has a fairly developed financial system but still not geared towards the poor, especially in what concerns the insurance industry. The evaluation of the microinsurance effects on well-being, and the demand for different types of microinsurance require an analysis of the dynamics of the individual income process and an assessment of substitutes and complementary institutions that condition their respective financial behavior. The evaluation of the microinsurance effects on well-being, and the demand for different types of microinsurance require an analysis of the dynamics of the individual income process and an assessment of substitutes and complementary institutions that condition their respective financial behavior. The Brazilian government provides a relatively developed social security system considering other countries of similar income level which crowds-out the demand for insurance and savings. On the other hand, this same public infrastructure may help to foster microfinance products supply. The objective of this paper is to analyze the demand for different types of private insurance by the low-income population using microdata from a National Expenditure Survey (POF/IBGE). The final objective is to help to understand the trade-offs faced for the development of an emerging industry of microinsurance in Brazil.

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Como orientar políticas públicas de modo a promover o bem-estar da população? Para responder a essa questão a comunidade acadêmica tem enfocado a necessidade de se conhecer melhor as escolhas de consumo individuais. Essa tendência encontra apoio no número, cada vez maior, de bases de microdados disponibilizadas pelos órgãos governamentais e iniciativa privada. O presente trabalho analisa as escolhas dos brasileiros com relação às decisões de financiamento e de oferta de trabalho. O estudo é dividido em três ensaios empíricos distintos. Como a contratação de crédito em mercados informais é motivada pelo déficit de educação financeira é o foco do primeiro ensaio. Considerando mais de 2.000 observações sobre tomadas de crédito, utiliza-se um modelo logit multinomial para estimar a propensão à tomada de crédito na informalidade em contraste com o crédito bancário. Os resultados indicam que a educação financeira pode ter uma relevância maior para a seleção de financiamentos informais do que a restrição de crédito. O segundo ensaio analisa o comportamento de uso de cartões de crédito dentre 1.458 jovens adultos residentes no Brasil, EUA ou França. Um modelo de equações estruturais é utilizado para incorporar relações entre as variáveis latentes. O modelo validado pelo estudo representa uma situação em que o bem-estar financeiro é afetado pela forma com que o indivíduo utiliza o cartão de crédito que, por sua vez, é afetado pelo sentimento de comparação social e pela autoconfiança financeira, essa última sendo impactada também pela educação financeira recebida dos pais. Na comparação entre grupos encontramos evidências de que a comparação social tem um efeito mais forte sobre os jovens brasileiros e que homens são mais dependentes da educação dos pais do que as mulheres. No último ensaio a população pobre brasileira é analisada em relação a um suposto efeito preguiça, que seria causado pela diminuição de oferta de trabalho das famílias que recebem o benefício financeiro do governo via o Programa Bolsa Família. Um modelo de sobrevivência foi usado para comparar a duração no emprego entre beneficiários do programa e um grupo controle, utilizando uma base de dados com mais de 3 milhões de indivíduos. A hipótese de um efeito preguiça é rejeitada. O risco de desligamento do emprego para os beneficiários do Bolsa Família é medido como sendo de 7% a 10% menor, o que é capaz de anular, por exemplo, o maior risco de saída do emprego causado pela presença de filhos pequenos na composição familiar. Uma vez que a rotatividade no emprego dificulta o recebimento de aposentadorias por tempo de contribuição, pode-se concluir que o programa de transferência de renda brasileiro terá um impacto positivo sobre o bem-estar financeiro futuro do trabalhador.

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The study aims to answer the following question: what are the different profiles of infant mortality, according to demographic, socioeconomic, infrastructure and health care, for the micro-regions at the Northeast of Brazil? Thus, the main objective is to analyze the profiles or typologies associated mortality levels sociodemographic conditions of the micro-regions, in the year 2010. To this end, the databases of birth and death certificates of SIM and SINASC (DATASUS/MS), were taken from the 2010 population Census microdata and from SIDRA/IBGE. As a methodology, a weighted multiple linear regression model was used in the analysis in order to find the most significant variables in the explanation child mortality for the year 2010. Also a cluster analysis was performed, seeking evidence, initially, of homogeneous groups of micro-regions, from of the significant variables. The logit of the infant mortality rate was used as dependent variable, while variables such as demographic, socioeconomic, infrastructure and health care in the micro-regions were taken as the independent variables of the model. The Bayesian estimation technique was applied to the database of births and deaths, due to the inconvenient fact of underreporting and random fluctuations of small quantities in small areas. The techniques of Spatial Statistics were used to determine the spatial behavior of the distribution of rates from thematic maps. In conclusion, we used the method GoM (Grade of Membership), to find typologies of mortality, associated with the selected variables by micro-regions, in order to respond the main question of the study. The results points out to the formation of three profiles: Profile 1, high infant mortality and unfavorable social conditions; Profile 2, low infant mortality, with a median social conditions of life; and Profile 3, median and high infant mortality social conditions. With this classification, it was found that, out of 188 micro-regions, 20 (10%) fits the extreme profile 1, 59 (31.4%) was characterized in the extreme profile 2, 34 (18.1%) was characterized in the extreme profile 3 and only 9 (4.8%) was classified as amorphous profile. The other micro-regions framed up in the profiles mixed. Such profiles suggest the need for different interventions in terms of public policies aimed to reducing child mortality in the region

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This work was developed in the research line: "The habitus of study: builder of a new reality in the basic education of metropolitan area Natal" which is being developed with the support of CAPES by the Centre for Education. Acts, especially the problem of academic performance of students in basic education of the public in the Metropolitan Region of Natal (RMN). Thus, the aim of this paper is to construct a typology of students in the 9th year of basic education, attending the public schools (state or municipal) of MRN, 2009, and assess, according to these profiles, what personal characteristics student and their families: economic, social and cultural capital as well as teaching practices create environments capable of favoring a good educational development as measured by the performance obtained in the assessments in mathematics and English language. The data used were provided through the microdata Brazil Exam 2009 held by INEP. We used the methods Grade of Membership (GoM) for construction of profiles relevance of students according to the characteristics already mentioned. With these profiles was verified, which were effectively generating good performance in school curriculum components evaluated. The findings indicate that students belonging to the profile considered good environment, able to achieve better school performance both in Portuguese as in Mathematics, compared to the extreme profiles and adverse deficit

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This study aims to verify the impact of the Bolsa Família Program (BFP) in income and school attendance of poor Brazilian families. It is intended to also check the existence of a possible negative effect of the program on the labor market, titled as sloth effect. For such, microdata from the IBGE Census sample in 2010 were used. Seeking to purge possible selection biases, methodology of Quantilic Treatment Effect (QTE) was applied, in particular the estimator proposed by Firpo (2007), which assumes an exogenous and non-conditional treatment. Moreover, Foster- Greer-Thorbecke (FGT) index was calculated to check if there are fewer households below the poverty line, as well as if the inequality among the poor decreases. Human Opportunity Index (HOI) was also calculated to measure the access of young people / children education. Results showed that BFP has positively influenced the family per capita income and education (number of children aged 5-17 years old attending school). As for the labor market (worked hours and labor income), the program showed a negative effect. Thus, when compared with not benefiting families, those families who receive the BFP have: a) a higher family income (due to the shock of the transfer budget money) b) more children attending school (due to the conditionality imposed by the program); c) less worked hours (due to sloth effect in certain family groups) and d) a lower income from work. All these effects were potentiated separating the sample in the five Brazilian regions, being observed that the BFP strongly influenced the Northeast, showing a greater decrease in income inequality and poverty, and at the same time, achieved a greater negative impact on the labor market

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This study aims to analyze the income differentials by gender in Brazil, in the years 1976, 1987, 1996 and 2009. Specifically, there are two objectives. First, attempt to analyze the importance of the effects of composition and wage structure in the job market. In the second, to verify which socioeconomic variables explain the effects of composition and wage structure in the job market. The information in this study was obtained from the microdata of Pesquisa Nacional por Amostra de Domicílios (PNAD) regarding the respective years. In the first stage of the methodology we used: the index of income distribution Theil-T; the income gap decompositions proposed by Oaxaca (1973) and Blinder (1973); and Firpo et al. (2007). In the second stage we applied the RIF regression method (Recentered Influence Function) of Firpo et al. (2007). The results show that income inequality is higher among men than among women in the country. It was observed that the component of inequality between people of the same gender represented the largest share in the decomposition of income inequality between genders. It was found, in the decomposition of the average income, a downward trend of income gap, but the differential remains favorable to the men. We noticed that the impact of the composition effect in reducing the gap was offset by the positive effect of wage structure. Regarding the distribution quantis, income differential between genres appeared greater at the bottom, in the years 1976, 1987 and 2009; and at the top of the distribution, in 1996 featuring, respectively, the sticky floor and glass ceiling effects in Brazil. As for the decomposition of the RIF, it turns out that the composition effect assisted in the downfall of the income gap between 1976 and 2009, but was offset by the positive effect of the wage structure in quantis 10th, 50th, and 90th. The main socioeconomic variables influenced the drop in income gap were: the composition effect, the manual labor occupations, service sector and low-grade and high school, and the wage structure effect, schooling low and high experience professional and technical occupations and urban centers

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The aim of this study is to analyze the effect of migration on the income differential between northeastern migrants and nonmigrants and there by verify that the immigrants make up a group or not positively selected. The assumption that will be tested is that the presence of these immigrants affects income inequality in the region receptor, which may explain part of the high-stopping inequality in the Brazilian Northeast. The study is based on the literature selectivity migration introduced by Roy (1951), Borjas (1987) and Chiswick (1999). Does the estimated wage equation Mincer (1974) through the method of OLS, using information from the microdata sample of the 2010 Census, the Brazilian Institute of Geography and Statistics (IBGE). The results which correspond to the comparison of socioeconomic profile, showed that immigrants are more qualified and, on average, better paid than non-migrants. With the estimation of the model, it was found that, keeping all other variables constant, the income that immigrants earn is 14.43% higher than that of non-migrants. Thus, there was existence of positive selectivity in migration directed to the Northeast

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