910 resultados para Expectativas racionais (Teoria econômica) - Modelos econométricos


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The study attempts to develop the concept of financial fragility and explore the advancement of their chances, since he started in 1970 until the present day with the most respected authors. The analysis focuses on the possibility of changing the cycle of economic activity that is due to the vulnerability, and so that it is related to the behavior of firms and agents. What can be done to prevent such a crisis. Thus, the authors present the factors and explain how the credit market, operating assets and investments of capital goods under the influence in that economy. It also consists in the analysis to visualize the size of the influence of credit, interest and investments made by the evaluation of a data set

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Dissertação (mestrado)—Universidade de Brasília, Faculdade de Direito, Programa de Pós-Graduação em Direito, 2015.

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We analize a discrete type version of a common agency model with informed principals of Martimort and Moreira (2005) in the context of lobby games. We begin discussing issues related to the common values nature of the model, i.e.the agent cares directly about the principal’s utility function. With this feature the equilibrium of Martimort and Moreira (2005) is not valid. We argue in favor of one solution, although we are not able to fully characterize the equilibrium in this context. We then turn to an application: a modification of the Grossman and Helpman (1994) model of lobbying for tariff protection to incoporate assimetric information (but disconsidering the problem of common values) in the lobbies objective function. We show that the main results of the original model do not hold and that lobbies may behave less agressively towards the police maker when there is private information in the lobbies valuation for the tariffs.

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Neste trabalho desenvolve-se um modelo de expectativas racionais baseado no paper de Batini e Haldane (1999) com o propósito de avaliar se as regras monetárias derivadas sob o regime de metas para a inflação podem ser adaptadas para corrigir desvios explosivos da dívida pública. Em países emergentes, estes desvios são um dos principais responsáveis pelas recentes crises. Através da endogeneização do prêmio de risco e a definição de uma regra de decisão aumentada para o banco central, permite-se caracterizar a dinâmica de curto e longo prazo da relação dívida-PIB sob diversas óticas. Os resultados mostram que apesar da potencial solvência de longo prazo, a dívida ainda pode gerar preocupações no curto prazo, mesmo se o banco central considerar na sua reação de política problemas com a administração da dívida e atuar com base na previsão de inflação.

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In this paper, we propose a novel approach to econometric forecasting of stationary and ergodic time series within a panel-data framework. Our key element is to employ the (feasible) bias-corrected average forecast. Using panel-data sequential asymptotics we show that it is potentially superior to other techniques in several contexts. In particular, it is asymptotically equivalent to the conditional expectation, i.e., has an optimal limiting mean-squared error. We also develop a zeromean test for the average bias and discuss the forecast-combination puzzle in small and large samples. Monte-Carlo simulations are conducted to evaluate the performance of the feasible bias-corrected average forecast in finite samples. An empirical exercise based upon data from a well known survey is also presented. Overall, theoretical and empirical results show promise for the feasible bias-corrected average forecast.

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In this paper, we propose a novel approach to econometric forecasting of stationary and ergodic time series within a panel-data framework. Our key element is to employ the bias-corrected average forecast. Using panel-data sequential asymptotics we show that it is potentially superior to other techniques in several contexts. In particular it delivers a zero-limiting mean-squared error if the number of forecasts and the number of post-sample time periods is sufficiently large. We also develop a zero-mean test for the average bias. Monte-Carlo simulations are conducted to evaluate the performance of this new technique in finite samples. An empirical exercise, based upon data from well known surveys is also presented. Overall, these results show promise for the bias-corrected average forecast.

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In this paper, we propose a novel approach to econometric forecasting of stationary and ergodic time series within a panel-data framework. Our key element is to employ the (feasible) bias-corrected average forecast. Using panel-data sequential asymptotics we show that it is potentially superior to other techniques in several contexts. In particular, it is asymptotically equivalent to the conditional expectation, i.e., has an optimal limiting mean-squared error. We also develop a zeromean test for the average bias and discuss the forecast-combination puzzle in small and large samples. Monte-Carlo simulations are conducted to evaluate the performance of the feasible bias-corrected average forecast in finite samples. An empirical exercise, based upon data from a well known survey is also presented. Overall, these results show promise for the feasible bias-corrected average forecast.