财政稳定规则#

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2023-09-01 DOI:10.1016/j.jmacro.2023.103528

Hovick Shahnazarian

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引用次数: 0

摘要

本文提出的最优财政稳定规则是由一个损失函数推导而来的，该损失函数假设政府保持结构性平衡接近其目标水平，同时稳定GDP和通胀缺口。除了自动稳定器之外，该规则还提供了能够在不损害公共财政可持续性的情况下稳定商业周期所需的自由裁量稳定措施的规模。利用这一政策规则和财政平衡的一阶泰勒展开式，我们分解了经济周期条件下的自动稳定器和自由裁量财政政策。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Fiscal stabilization rule

The optimal fiscal stabilization rule presented in this paper is derived from a loss function where the government is assumed to keep the structural balance close to its target level and simultaneously stabilize the GDP and inflation gaps. The rule yields the size of the discretionary stabilization measures needed, in addition to automatic stabilizers, to be able to stabilize the business cycle, without compromising the sustainability of public finances. Using this policy rule and a first-order Taylor expansion of the fiscal balance, we decompose the automatic stabilizers and the discretionary fiscal policy conditional on business cycle conditions.

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.