997 resultados para Getulio Vargas Foundation


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Este trabalho tem dois objetivos. O primeiro, que será apresentado na Seção 2, consiste numa dedução rigorosa das condições em que o efeito HLM é válido no modelo tradicional de renda-despesa, das curvas IS/LM do livro texto. O segundo objetivo, que será tratado na Seção 3, consiste na análise do efeito HLM num modelo de otimização intertemporal, de uma economia aberta que não afeta os preços dos bens e serviços que importa, mas paga um prêmio de risco nos empréstimos que obtém no mercado de capitais internacional. A Seção 4 contém um sumário com as conclusões do trabalho.

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Verdelhan (2009) shows that if one is to explain the foreign exchange forward premium behavior using Campbell and Cochrane (1999)’s habit formation model one must specify it in such a way to generate pro-cyclical short term risk free rates. At the calibration procedure, we show that this is only possible in Campbell and Cochrane’s framework under implausible parameters specifications given that the price-consumption ratio diverges in almost all parameters sets. We, then, adopt Verdelhan’s shortcut of fixing the sensivity function λ(st) at its steady state level to attain a finite value for the price-consumption ratio and release it in the simulation stage to ensure pro-cyclical risk free rates. Beyond the potential inconsistencies that such procedure may generate, as suggested by Wachter (2006), with procyclical risk free rates the model generates a downward sloped real yield curve, which is at odds with the data.

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We show that every twice-continuously differentiable and strictly concave function f : R+ → R+ can be bracketed between two C.E.S. functions at each open interval. In particular, for the Inada conditions to hold, a production function must be asymptotically Cobb-Douglas.

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We use the information content in the decisions of the NBER Business Cycle Dating Committee to construct coincident and leading indices of economic activity for the United States. We identify the coincident index by assuming that the coincident variables have a common cycle with the unobserved state of the economy, and that the NBER business cycle dates signify the turning points in the unobserved state. This model allows us to estimate our coincident index as a linear combination of the coincident series. We establish that our index performs better than other currently popular coincident indices of economic activity.

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We examine the problem faced by a company that wishes to purchase patents in the hands of two di¤erent patent owners. Complementarity of these patents in the production process of the company is a prime e¢ciency reason for them being owned (or licenced) by the company. We show that this very same complementarity can lead to patent owners behaving strategically in bargaining, and delaying their sale to the company. When the company is highly leveraged, such ine¢cient delay is limited. Comparative statics results are also obtained. Relevant applications include assembly of patents for drug treatments from the human genome, and land assembly.

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Eu demonstro que preferências convexas com curvas de indiferença afins não tem representação côncava se existirem duas curvas de indiferença não-paralelas

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We develop and calibrate a model where differences in factor endowments lead countries to trade intermediate goods, and gains from trade reflect in total factor productivity. We perform several output and growth decompositions, to assess the impact that barriers to trade, as well as changes in terms of trade, have on measured TFP. We find that for very poor economies gains from trade are large, in some cases representing a doubling of GDP. Also, that an improvement in the terms of trade - by allowing the use of a better mix of intermediate inputs in the production process - translates into productivity growth.

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This paper is concerned with evaluating value at risk estimates. It is well known that using only binary variables to do this sacrifices too much information. However, most of the specification tests (also called backtests) avaliable in the literature, such as Christoffersen (1998) and Engle and Maganelli (2004) are based on such variables. In this paper we propose a new backtest that does not realy solely on binary variable. It is show that the new backtest provides a sufficiant condition to assess the performance of a quantile model whereas the existing ones do not. The proposed methodology allows us to identify periods of an increased risk exposure based on a quantile regression model (Koenker & Xiao, 2002). Our theorical findings are corroborated through a monte Carlo simulation and an empirical exercise with daily S&P500 time series.