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引用次数: 0
摘要
本文探讨了通胀在供应(成本)或需求(加价)冲击下的反应。尽管加价非常重要,但其行为仍是文献中一个未解决的实证问题。我们使用美国 1948q1-2019q3 期间的数据,将价格指数分解为加价和成本,并采用一个小型 DSGE 模型来提取系数估计值的识别大小条件。然后将这些条件用于马尔可夫转换 VAR(MS-VAR),该 VAR 采用更新步骤,具有固定的转换概率。实证研究表明,存在三种不同的体制(扩张型、收缩型、供给冲击型),而广义脉冲响应函数表明,在所有体制中,加价似乎是反周期的,而边际成本是顺周期的。因此,通货膨胀对冲击的反应可能比预期的波动要小,这取决于不同的制度。此外,较大的冲击对通货膨胀的影响较小,持续性也较弱,因为它们更容易识别,从而可以采取纠正措施。
Examining the behaviour of inflation to supply and demand shocks using an MS-VAR model
This paper examines how inflation reacts depending on whether a supply (cost) or demand (markup) shock occurs. Despite their importance, the behaviour of markups remains an open empirical question in the literature. We use data for the US over the 1948q1-2019q3 period, decompose the price index to markups and costs, and employ a small-scale DSGE model to extract identifying size conditions for the coefficient estimates. These are then used in a Markov-switching VAR (MS-VAR) with fixed transition probabilities using an updating step. The empirical exercise shows that three different regimes exist (expansionary, contractionary, supply shock), while the Generalized Impulse Response Functions document that markups appear to be countercyclical and marginal costs are procyclical across all regimes. As such, inflation's reaction to a shock can be less volatile than expected depending on the regime. In addition, larger shocks have a lower and less persistent effect on inflation, because they are more easily identifiable, allowing corrective action to be taken.
期刊介绍:
Economic Modelling fills a major gap in the economics literature, providing a single source of both theoretical and applied papers on economic modelling. The journal prime objective is to provide an international review of the state-of-the-art in economic modelling. Economic Modelling publishes the complete versions of many large-scale models of industrially advanced economies which have been developed for policy analysis. Examples are the Bank of England Model and the US Federal Reserve Board Model which had hitherto been unpublished. As individual models are revised and updated, the journal publishes subsequent papers dealing with these revisions, so keeping its readers as up to date as possible.