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Distributional Comparative Statics

机译:分布比较估计

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Distributional comparative statics is the study of how individual decisions and equilibrium outcomes vary with changes in the distribution of economic parameters (income, wealth, productivity, information, etc.). This article develops new tools to address such issues and illustrates their usefulness in applications. The central development is a condition called quasi-concave differences, which implies concavity of the policy function in optimization problems without imposing differentiability or quasi-concavity conditions. The general take-away is that many distributional questions in economics which cannot be solved by direct calculations or the implicit function theorem, can be addressed easily with this article’s methods. Several applications demonstrate this: the article shows how increased uncertainty affects the set of equilibria in Bayesian games; it shows how increased dispersion of productivities affects output in the model of Melitz (2003); and it generalizes Carroll and Kimball (1996)’s result on concave consumption functions to the Aiyagari (1994) setting with borrowing constraints.
机译:分布比较估计是研究个体决策和均衡结果如何随着经济参数分布(收入,财富,生产力,信息等)的变化而变化。本文开发新工具来解决此类问题,并说明其在应用程序中的实用性。中央开发是一种称为准凹差的条件,其意味着在不强调可分性或准凹陷条件的情况下在优化问题中展开策略函数。一般的事是通过直接计算或隐性功能定理无法解决经济学中的许多分布问题,可以通过本文的方法轻松解决。若干应用程序证明了这一点:文章展示了增加的不确定性如何影响贝叶斯游戏的均衡;它表明,产品的分散性如何影响Melitz模型中的产出(2003);它通过借款限制,推广Carroll和Kimball(1996)对Aiyagari(1994)设置的凹面消费函数。

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