The Effects of Fiscal Policy Shocks in Svar Models: A Graphical Modelling Approach

Matteo Fragetta, Giovanni Melina
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引用次数: 15

Abstract

We apply graphical modelling theory to identify fiscal policy shocks in SVAR models of the US economy. Unlike other econometric approaches of which achieve identification by relying on potentially contentious a priori assumptions of graphical modelling is a data based tool. Our results are in line with Keynesian theoretical models, being also quantitatively similar to those obtained in the recent SVAR literature a la Blanchard and Perotti (2002), and contrast with neoclassical real business cycle predictions. Stability checks confirm that our findings are not driven by sample selection.
财政政策冲击在Svar模型中的影响:一种图形建模方法
我们运用图形建模理论来识别美国经济SVAR模型中的财政政策冲击。与其他计量经济学方法不同的是,图形建模是一种基于数据的工具,它依靠潜在的有争议的先验假设来实现识别。我们的结果与凯恩斯理论模型一致,在数量上也与最近的SVAR文献(如Blanchard和Perotti(2002))中获得的结果相似,并与新古典主义的真实商业周期预测形成对比。稳定性检查证实我们的发现不是由样本选择驱动的。
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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