7 resultados para capital returns

em Biblioteca Digital da Produção Intelectual da Universidade de São Paulo (BDPI/USP)


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OBJETIVO: O objetivo deste estudo foi comparar estimativas obtidas em inquéritos domiciliar e telefônico, da realização dos exames de Papanicolaou e mamografia em mulheres residentes no município de São Paulo em 2008, segundo características sociodemográficas, bem como dimensionar as diferenças observadas. MÉTODOS: Foram utilizados os dados do ISA - Capital 2008, inquérito domiciliar realizado no município de São Paulo pela Universidade de São Paulo (USP), Universidade Estadual de Campinas (UNICAMP) e Secretaria de Estado da Saúde com apoio da Secretaria Municipal de Saúde de São Paulo, e do VIGITEL - São Paulo, inquérito telefônico realizado pelo Ministério da Saúde para Vigilância de Fatores de Risco e Proteção para Doenças Crônicas. Estimativas da realização do exame de Papanicolaou e mamografia na vida, bem como a realização no último ano foram comparadas segundo o tipo de inquérito (domiciliar/telefone) por meio de regressão de Poisson ajustada por idade e escolaridade. RESULTADOS: Não foram encontradas diferenças estatisticamente significantes entre as estimativas obtidas pelo VIGITEL e ISA - Capital para as prevalências de realização de mamografia no último ano. No entanto, para as estimativas globais de realização do exame de Papanicolaou alguma vez na vida e no último ano e da mamografia na vida, foi possível verificar diferenças estatisticamente significantes, com prevalências de cobertura superiores entre as entrevistadas pelo inquérito telefônico. CONCLUSÃO: Os resultados sinalizam a tendência de superestimação de alguns indicadores de cobertura de mamografia e de exame de Papanicolaou nos dados de pesquisa via telefone, apontando a necessidade de novos estudos que também contribuam para o melhor entendimento das diferenças observadas com o uso de diferentes modalidades de inquéritos.

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We analyze the influence of time-, firm-, industry- and country-level determinants of capital structure. First, we apply hierarchical linear modeling in order to assess the relative importance of those levels. We find that time and firm levels explain 78% of firm leverage. Second, we include random intercepts and random coefficients in order to analyze the direct and indirect influences of firm/industry/country characteristics on firm leverage. We document several important indirect influences of variables at industry and country-levels on firm determinants of leverage, as well as several structural differences in the financial behavior between firms of developed and emerging countries. (C) 2010 Elsevier B.V. All rights reserved.

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Despite Latin America`s dismal performance between the 1950s and 1980s, the region experienced strong capital deepening. We suggest that these facts can be explained as a consequence of the restrictive trade regime adopted at that time. Our framework is based on a dynamic Heckscher-Ohlin model, with scale economies in the capital-intensive sector. Initially, the economy is open and produces only the labor-intensive good. The trade regime is modeled as a move to a closed economy. The model produces results consistent with the Latin American experience. Specifically, a Sufficiently small Country experiences no long-run income growth, but an increase in capital. (C) 2009 Elsevier B.V. All rights reserved.

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The purpose of this paper is to analyze the dynamics of national saving-investment relationship in order to determine the degree of capital mobility in 12 Latin American countries. The analytically relevant correlation is the short-term one, defined as that between changes in saving and investment. Of special interest is the speed at which variables return to the long run equilibrium relationship, which is interpreted as being negatively related to the degree of capital mobility. The long run correlation, in turn, captures the coefficient implied by the solvency constraint. We find that heterogeneity and cross-section dependence completely change the estimation of the long run coefficient. Besides we obtain a more precise short run coefficient estimate compared to the existent estimates in the literature. There is evidence of an intermediate degree of capital mobility, and the coefficients are extremely stable over time.

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This paper uses a unique new data set on manufacturing firms in Brazil and India to estimate production functions, augmented by information and communications technology (ICT). We find a strong positive association between ICT capital and productivity in both countries that is robust to several different specification tests. The paper also breaks new ground when using the Indian data to investigate the effect of the institutional and policy environment on ICT capital investment and productivity. We find that poorer infrastructure quality and labor market policy are associated with lower levels of ICT adoption, while poorer infrastructure is also associated with lower returns to investment.

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We extended the standard neoclassical model of investment for the case of an open economy. Our model shows that risk premium not only creates a wedge between the marginal product of capital across countries but also reduces an economy`s savings rate. A riskier market thus presents a lower income per capita, ceteris paribus. Our empirical analysis, from 1950 to 2003, lends support to the conclusion that both risk and the correction for output price to investment ratio help to explain the differentials.

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In this paper we study the possible microscopic origin of heavy-tailed probability density distributions for the price variation of financial instruments. We extend the standard log-normal process to include another random component in the so-called stochastic volatility models. We study these models under an assumption, akin to the Born-Oppenheimer approximation, in which the volatility has already relaxed to its equilibrium distribution and acts as a background to the evolution of the price process. In this approximation, we show that all models of stochastic volatility should exhibit a scaling relation in the time lag of zero-drift modified log-returns. We verify that the Dow-Jones Industrial Average index indeed follows this scaling. We then focus on two popular stochastic volatility models, the Heston and Hull-White models. In particular, we show that in the Hull-White model the resulting probability distribution of log-returns in this approximation corresponds to the Tsallis (t-Student) distribution. The Tsallis parameters are given in terms of the microscopic stochastic volatility model. Finally, we show that the log-returns for 30 years Dow Jones index data is well fitted by a Tsallis distribution, obtaining the relevant parameters. (c) 2007 Elsevier B.V. All rights reserved.