9 resultados para multiple data

em Repositório digital da Fundação Getúlio Vargas - FGV


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This paper presents a poverty profile for Brazil, based on three different sources of household data for 1996. We use PPV consumption data to estimate poverty and indigence lines. “Contagem” data is used to allow for an unprecedented refinement of the country’s poverty map. Poverty measures and shares are also presented for a wide range of population subgroups, based on the PNAD 1996, with new adjustments for imputed rents and spatial differences in cost of living. Robustness of the profile is verified with respect to different poverty lines, spatial price deflators, and equivalence scales. Overall poverty incidence ranges from 23% with respect to an indigence line to 45% with respect to a more generous poverty line. More importantly, however, poverty is found to vary significantly across regions and city sizes, with rural areas, small and medium towns and the metropolitan peripheries of the North and Northeast regions being poorest.

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The export of information technology software services, also known as ¿offshore outsourcing¿, has raised debates in the media as well as in the academy. A lot has been written about the success of India, Ireland and Israel, the ¿3Is¿, but empirical data about Brazil is still hard to find. This dissertation proposes to identify success factors for Brazil to be chosen as a preferred location for offshore outsourcing based on a case study of an American multinational corporation, with branches in Brazil, that is systematically choosing Brazil as a preferred location for its offshore outsourcing operations. Concepts of economic globalization, internationalization of services and success factors for offshore outsourcing will be presented in the literature review and based on available literature focused on Brazil, a model of eight success factors is proposed. The empirical research was grounded on multiple data sources but the analysis was focused on a database of 219 deals that were conducted from September 2005 to May 2006, out of which Brazil was selected 57 times. The results confirm the proposed model of eight success factors. The final conclusions suggest that the process of identifying a country to perform the offshore activities is complex and that not all factors will be present at the same time, and more than that, in some cases intangible factors, such as relationship networks and emotional links with the country, have a higher weight in the decision. The results can be used in the future for in depth researches that differentiate Brazil from other countries in the offshore outsourcing market.

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A educação a distância vem ganhando destaque nos últimos anos em função da capacidade de expansão do ensino superior e também por incluir um grupo de pessoas que, de outra forma, não poderia realizar uma graduação. O objetivo dessa pesquisa é identificar as variáveis que influenciam o processo de permanência dos alunos de Administração, comparando resultados das modalidades presencial e a distância, tomando como caso a Universidade Estadual do Maranhão (Uema). Como principal referencial teórico do presente estudo, escolheu-se o Modelo de Integração do Estudante de Tinto (1975), considerado como a primeira proposta academicamente reconhecida de determinação das variáveis que intervém no processo de evasão e permanência de alunos em um curso de graduação. Um dos componentes do modelo despertou o interesse de comparação entre as duas modalidades (presencial e a distância) de forma especial, qual seja: a integração social, decorrente das interações discentes e docentes, que em geral são pouco exploradas nos estudos empíricos. O método definido para o estudo foi de caráter descritivo e base qualitativa. A submissão do conjunto de variáveis observadas na literatura a uma análise de juízes resultou na definição de três principais Dimensões e 60 Componentes, a saber: (1) Perfil do aluno; (2) Estar-em-rede; e (3) Condições para a permanência. Essas variáveis compuseram o quadro de análise de conteúdo categorial, resultante da aplicação de múltiplos instrumentos de coleta de dados (dois questionários e uma entrevista em profundidade), que foram utilizados na triangulação com dados secundários obtidos no próprio Enade (2009). Como contribuição teórica da presente tese, aponta-se a possibilidade de integração das três visões filosóficas: Cognitivismo, Construtivismo e Conectivismo que se interrelacionam na gestão acadêmica de cursos superiores pela unicidade da educação vislumbrada pelo blended learning como tendência futura para a educação superior. Outras contribuições são apresentadas em relação aos componentes: atributos individuais, trabalho e estágio, contexto familiar, escolaridade anterior, uso das TICs, interação docente e discente, compromisso pessoal e institucional e integração acadêmica.

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This paper investigates heterogeneity in the market assessment of public macro- economic announcements by exploring (jointly) two main mechanisms through which macroeconomic news might enter stock prices: instantaneous fundamental news im- pacts consistent with the asset pricing view of symmetric information, and permanent order ow e¤ects consistent with a microstructure view of asymmetric information related to heterogeneous interpretation of public news. Theoretical motivation and empirical evidence for the operation of both mechanisms are presented. Signi cant in- stantaneous news impacts are detected for news related to real activity (including em- ployment), investment, in ation, and monetary policy; however, signi cant order ow e¤ects are also observed on employment announcement days. A multi-market analysis suggests that these asymmetric information e¤ects come from uncertainty about long term interest rates due to heterogeneous assessments of future Fed responses to em- ployment shocks.

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We extend the standard price discovery analysis to estimate the information share of dual-class shares across domestic and foreign markets. By examining both common and preferred shares, we aim to extract information not only about the fundamental value of the rm, but also about the dual-class premium. In particular, our interest lies on the price discovery mechanism regulating the prices of common and preferred shares in the BM&FBovespa as well as the prices of their ADR counterparts in the NYSE and in the Arca platform. However, in the presence of contemporaneous correlation between the innovations, the standard information share measure depends heavily on the ordering we attribute to prices in the system. To remain agnostic about which are the leading share class and market, one could for instance compute some weighted average information share across all possible orderings. This is extremely inconvenient given that we are dealing with 2 share prices in Brazil, 4 share prices in the US, plus the exchange rate (and hence over 5,000 permutations!). We thus develop a novel methodology to carry out price discovery analyses that does not impose any ex-ante assumption about which share class or trading platform conveys more information about shocks in the fundamental price. As such, our procedure yields a single measure of information share, which is invariant to the ordering of the variables in the system. Simulations of a simple market microstructure model show that our information share estimator works pretty well in practice. We then employ transactions data to study price discovery in two dual-class Brazilian stocks and their ADRs. We uncover two interesting ndings. First, the foreign market is at least as informative as the home market. Second, shocks in the dual-class premium entail a permanent e ect in normal times, but transitory in periods of nancial distress. We argue that the latter is consistent with the expropriation of preferred shareholders as a class.

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In a reccnt paper. Bai and Perron (1998) considcrccl theoretical issues relatec\ lo lhe limiting distriblltion of estimators and test. statist.ics in the linear model \\'ith multiplc struct ural changes. \Ve assess. via simulations, the adequacy of the \'arious I1Iethods suggested. These CO\'er the size and power of tests for structural changes. the cO\'erage rates of the confidence Íntervals for the break dates and the relat.Í\'e merits of methods to select the I1umber of breaks. The \'arious data generating processes considered alIo,,' for general conditions OIl the data and the errors including differellces across segmcll(s. Yarious practical recommendations are made.

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This paper uses an output oriented Data Envelopment Analysis (DEA) measure of technical efficiency to assess the technical efficiencies of the Brazilian banking system. Four approaches to estimation are compared in order to assess the significance of factors affecting inefficiency. These are nonparametric Analysis of Covariance, maximum likelihood using a family of exponential distributions, maximum likelihood using a family of truncated normal distributions, and the normal Tobit model. The sole focus of the paper is on a combined measure of output and the data analyzed refers to the year 2001. The factors of interest in the analysis and likely to affect efficiency are bank nature (multiple and commercial), bank type (credit, business, bursary and retail), bank size (large, medium, small and micro), bank control (private and public), bank origin (domestic and foreign), and non-performing loans. The latter is a measure of bank risk. All quantitative variables, including non-performing loans, are measured on a per employee basis. The best fits to the data are provided by the exponential family and the nonparametric Analysis of Covariance. The significance of a factor however varies according to the model fit although it can be said that there is some agreements between the best models. A highly significant association in all models fitted is observed only for nonperforming loans. The nonparametric Analysis of Covariance is more consistent with the inefficiency median responses observed for the qualitative factors. The findings of the analysis reinforce the significant association of the level of bank inefficiency, measured by DEA residuals, with the risk of bank failure.

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O fenômeno "Born global" refere-se a empresas que consideram o mercado global como seu contexto natural e que iniciam seu processo de internacionalização muito cedo após sua criação. As teorias tradicionais como o modelo de Uppsala não conseguem explicar este processo. Portanto, outras teorias têm surgido, como a perspectiva de redes. Existem alguns estudos relacionados a esta área, principalmente realizados em países desenvolvidos com pequenos mercados e economias abertas. No entanto, poucos estudos têm sido feitos em economias em desenvolvimento. Além disso, o número de pesquisas quanto à escolha do modo de entrada e seleção de mercados das empresas “born global” é bastante limitado. Consequentemente, este estudo pretende descrever os principais fatores que influenciam a escolha do modo de entrada e seleção de mercados das empresas, de economias em desenvolvimento, nascidas globais. O foco da pesquisa é a indústria de software e um estudo de casos múltiplo foi realizado com três empresas no Equador. A metodologia incluiu entrevistas com fundadores, bem como a coleta de dados secundários. Com base na evidência empírica, verificou-se que os principais fatores que influenciam a escolha do modo de entrada são as restrições financeiras, as receitas esperadas, a velocidade de internacionalização, mercados nicho e a experiência empresarial anterior dos fundadores. Por outro lado, a seleção de mercado é influenciada por semelhanças de língua e cultura, mercados nicho e relações em rede.