5 resultados para amphibian declines

em Repositório digital da Fundação Getúlio Vargas - FGV


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Diversos artigos analisam o ciclo de vida das empresas e identificam que, ao longo do tempo, o' desempenho tem um formato de U invertido, em que a empresa atinge um nível ótimo e, a partir daí, declina devido à rigidez e à dificuldade de acompanhar as mudanças de mercado. O objetivo desse trabalho é investigar a relação existente entre idade da firma, valor e desempenho das empresas brasileiras. Verificamos também se existe efeito da idade da firma em suas práticas de governança. Analisamos 250 empresas brasileiras listadas na BM&FBovespa durante o período de 2002 a 2009. Nossos resultados indicam que, no Brasil, a relação não tem forma de U invertido, e as firmas mais velhas possuem maior valor e melhor retorno. Mostramos também que empresas mais velhas possuem melhores práticas de governança.

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Esse trabalho analisa o que aconteceu com a desigualdade salarial no Brasil nos anos de 1981 a 2009. Procuramos descobrir o papel que as características observáveis e os retornos a essas desempenha nas alterações da distribuição salarial. Usamos quatro variáveis explicativas: educação, experiência, atividade econômica do trabalho e região geográ ca em que mora. A partir de RIF - regressions descobrimos o papel de cada uma dessas covariadas individualmente. Nossos resultados mostram que houve uma signi cativa queda da desigualdade salarial no Brasil a partir do nal da década de 1990, explicada principalmente por mudanças nos retornos das características.

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In this paper, we find evidence that suggests that borrowing constraints may be an important determinant of intergenerational mobility in Brazil. This result contrasts sharply with studies for developed countries, such as Canada and the US, where credit constraints do not seem to play an important role in generating persistence of inequality. Moreover, we find that the social mobility is lower in Brazil in comparison with developed countries. We follow the methodology proposed by Grawe (2001), which uses quantile regression, and obtain two results. First, the degree of intergenerational persistence is greater for the upper quantiles. Second, the degree of intergenerational persistence declines with income at least for the upper quantiles. Both findings are compatible with the presence of borrowing constraints affecting the degree of intergenerational persistence, as predicted by the theory.

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This paper analyzes how differences in the composition of wealth between human and physical capital among families affect fertility choices. These in tum influence the dynamics of wealth and income inequality across generations through a tradeoffbetween quantity and quality of children. Wealth composition affects fertility because physical capital has only a wealth effect on number of children, whereas human capital increases the time cost of child-rearing in addition to the wealth effect. I construct a model combining endogenous fertility with borrowing constraints in human capital investments, in which weaIth composition is determined endogenously. The model is calibrated to the PNAD, a Brazilian household survey, and the main findings of the paper can be summarized as follows. First, the model implies that the crosssection relationship between fertility and wealth typically displays a U-shaped pattem, reflecting differences in wealth composition between poor and rich families. Also, the quantity-quality tradeoff implies a concave cross-section relationship between investments per child and wealth. Second, as the economy develops and families overcome their bOlTowing constraints, the negative effect of weaIth on fertility becomes smaller, and persistence of inequality declines accordingly. The empirical evidence presented in this paper is consistent with both implications .

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Market risk exposure plays a key role for nancial institutions risk management. A possible measure for this exposure is to evaluate losses likely to incurwhen the price of the portfolio's assets declines using Value-at-Risk (VaR) estimates, one of the most prominent measure of nancial downside market risk. This paper suggests an evolving possibilistic fuzzy modeling approach for VaR estimation. The approach is based on an extension of the possibilistic fuzzy c-means clustering and functional fuzzy rule-based modeling, which employs memberships and typicalities to update clusters and creates new clusters based on a statistical control distance-based criteria. ePFM also uses an utility measure to evaluate the quality of the current cluster structure. Computational experiments consider data of the main global equity market indexes of United States, London, Germany, Spain and Brazil from January 2000 to December 2012 for VaR estimation using ePFM, traditional VaR benchmarks such as Historical Simulation, GARCH, EWMA, and Extreme Value Theory and state of the art evolving approaches. The results show that ePFM is a potential candidate for VaR modeling, with better performance than alternative approaches.