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Solving an incomplete markets model with a large cross-section of agents*

机译:解决具有大范围代理商的不完整市场模型*

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This paper shows that perturbation methods can be applied to a DSGE model with incomplete markets and a finite but arbitrarily large number of heterogeneous agents. We develop a simple but general solution technique that handles many state and choice variables for each agent and thus has an extremely high-dimensional state space. The method is based on perturbations around a point at which the solution is known. The novel idea is to exploit the symmetry of the problem to overcome the curse of dimensionality. We use the analysis to demonstrate the impact of heterogeneity on macroeconomic quantities and the pricing of risk. Furthermore, we set our technique apart from standard methods used in the literature. (C) 2018 Elsevier B.V. All rights reserved.
机译:本文表明,可以将扰动方法应用于具有不完整市场和数量有限但任意数量的异构代理的DSGE模型。我们开发了一种简单但通用的解决方案技术,该技术可以处理每个代理的许多状态和选择变量,因此具有极高的状态空间。该方法基于围绕已知解的一点的扰动。新颖的想法是利用问题的对称性来克服维数的诅咒。我们使用分析来证明异质性对宏观经济数量和风险定价的影响。此外,我们将技术与文献中使用的标准方法分开。 (C)2018 Elsevier B.V.保留所有权利。

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