解决制度转换 DSGE 模型的通用高效方法

IF 1.9 4区 经济学 Q2 ECONOMICS
Julien Albertini, Stéphane Moyen
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引用次数: 0

摘要

本文提供了内生和基于阈值的制度转换模型的一般表示方法,同时还开发了一种高效的数值求解方法。当某些变量越过阈值条件时,就会发生内生的制度转换,而这些阈值条件本身可能与制度相关。我们使用一个依赖于国家的政府支出政策的 RBC 模型来说明我们的方法。结果表明,制度转换模型涉及模型动态中的强非线性和不连续性。然而,我们的数值解决方案依赖于模拟和预测方法,并采用与制度相关的政策规则,证明能够准确、快速地解决这些具有挑战性的问题。我们还探讨了模型和方法的几种替代规格。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A General and Efficient Method for Solving Regime-Switching DSGE Models

A General and Efficient Method for Solving Regime-Switching DSGE Models

This paper provides a general representation of endogenous and threshold-based regime-switching models while also developing an efficient numerical solution method. Regime-switching occurs endogenously when certain variables cross threshold conditions that can themselves be regime-dependent. We illustrate our approach using a RBC model with state-dependent government spending policies. It is shown that regime-switching models involve strong non linearities and discontinuities in the dynamics of the model. However, our numerical solution which relies on simulation and projection methods with regime-dependent policy rules, proves to be accurate and sufficiently fast address these challenging aspects. Several also explore several alternative specifications for the model and the method.

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来源期刊
Computational Economics
Computational Economics MATHEMATICS, INTERDISCIPLINARY APPLICATIONS-
CiteScore
4.00
自引率
15.00%
发文量
119
审稿时长
12 months
期刊介绍: Computational Economics, the official journal of the Society for Computational Economics, presents new research in a rapidly growing multidisciplinary field that uses advanced computing capabilities to understand and solve complex problems from all branches in economics. The topics of Computational Economics include computational methods in econometrics like filtering, bayesian and non-parametric approaches, markov processes and monte carlo simulation; agent based methods, machine learning, evolutionary algorithms, (neural) network modeling; computational aspects of dynamic systems, optimization, optimal control, games, equilibrium modeling; hardware and software developments, modeling languages, interfaces, symbolic processing, distributed and parallel processing
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