2,013 research outputs found

    The efficiency of financial markets with high inflation

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    In a two period general equilibrium model with incomplete asset markets, it is shown that the contraction of nominal financial markets that occurs during high inflations can result from the variability of the future rate of inflation and from large bankruptcy costs. If the probability that inflation in the future will be high is sufficiently large, then, for a generic set of endowments, an increase in the variability of future prices reduces the utility possibilities set. In economies with only nominal assets more variable future prices lead to a Pareto fall in social welfare

    A note on nonparametric testing for Gaussian innovations in AR-ARCH models

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    In this paper we consider autoregressive models with conditional autoregressive variance, including the case of homoscedastic AR-models and the case of ARCH models. Our aim is to test the hypothesis of normality for the innovations in a completely nonparametric way, i. e. without imposing parametric assumptions on the conditional mean and volatility functions. To this end the Cram\'er-von Mises test based on the empirical distribution function of nonparametrically estimated residuals is shown to be asymptotically distribution-free. We demonstrate its good performance for finite sample sizes in a simulation study

    Latin America in the Twentieth Century: Stagnation, then Collapse

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    Most Latin American countries experienced their last peak in output per capita relative to the United States’ between 1971 and 1982. Prior to this peak per capita output was rapidly catching up to the developed world. Twenty years after the peak the average country’s relative per capita output was 68% of its peak level. A growth accounting exercise shows that between 1960 and 1985 the contribution of physical capital to growth, at 74%, was more than twice the world’s average. There is an investment/productivity puzzle since capital accumulation was among the highest in the world and productivity growth one of the lowest. Import Substitution Industrialization and targeted investment subsidies may be the key to understanding Latin America’s lack of developmentStagnation, Growth, Latin America

    Testing for symmetric error distribution in nonparametric regression models

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    For the problem of testing symmetry of the error distribution in a nonparametric regression model we propose as a test statistic the difference between the two empirical distribution functions of estimated residuals and their counterparts with opposite signs. The weak convergence of the difference process to a Gaussian process is shown. The covariance structure of this process depends heavily on the density of the error distribution, and for this reason the performance of a symmetric wild bootstrap procedure is discussed in asymptotic theory and by means of a simulation study. In contrast to the available procedures the new test is also applicable under heteroscedasticity. --empirical process of residuals,testing for symmetry,nonparametric regression
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