Price Setting and Volatility: Evidence from Oil Price Volatility Shocks

Matthew Klepacz
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引用次数: 14

Abstract

How do changes in aggregate volatility alter the impulse response of output to monetary policy? To analyze this question, I study whether individual prices in Producer Price Index micro data are more likely to change and to move in the same direction when aggregate volatility is high, which would increase aggregate price exibility and reduce the effectiveness of monetary policy. Taking advantage of plausibly exogenous oil price volatility shocks and heterogeneity in oil usage across industries, I find that price changes are more dispersed and less frequent, implying that prices are less likely to move in the same direction when aggregate volatility is high. This contrasts with findings in the literature about idiosyncratic volatility. I use a state-dependent pricing model to interpret my findings. Random menu costs are necessary for the model to match the positive empirical relationship between oil price volatility and price change dispersion. This is the case because random menu costs reduce the extent to which firms with prices far from their optimum all act in a coordinated fashion when volatility increases. The model implies that increases in aggregate volatility do not substantially reduce the ability of monetary policy to stimulate output.
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价格设定与波动:来自油价波动冲击的证据
总波动率的变化如何改变产出对货币政策的脉冲响应?为了分析这个问题,我研究了生产者价格指数微观数据中的个体价格是否更容易在总波动率较高时发生变化并向同一方向移动,从而增加了总价格的灵活性,降低了货币政策的有效性。利用看似合理的外生油价波动冲击和不同行业石油使用的异质性,我发现价格变化更加分散,频率更低,这意味着当总波动率较高时,价格不太可能向同一方向移动。这与文献中关于特殊波动性的发现形成了对比。我使用一个依赖于状态的定价模型来解释我的发现。随机菜单成本是模型拟合油价波动与价格变动离散度正经验关系的必要条件。之所以会出现这种情况,是因为随机菜单成本降低了价格远低于最优价格的企业在波动性增加时采取协调行动的程度。该模型表明,总波动率的增加不会显著降低货币政策刺激产出的能力。
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