Time-Varying (S, s) Band Models: Empirical Properties and Interpretation

E. Gautier, Hervé le Bihan
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引用次数: 34

Abstract

. A recent strand of empirical work uses (S; s) models with time-varying stochastic bands to describe infrequent adjustments of prices and other variables. The present paper examines some properties of this model, which encompasses most micro-founded adjustment rules rationalizing infrequent changes. We illustrate that this model is also flexible enough to fit data characterized by infrequent adjustment and variable adjustment size. We show that, to the extent that there is variability in the size of adjustments (e.g. if both small and large price changes are observed), i) a large band parameter is needed to fit the data and ii) the average band of inaction underlying the model may differ strikingly from the typical observed size of adjustment. The paper thus provides a rationalization of a recurrent empirical result: very large estimated values for the parameters measuring the band of inaction.
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时变(S, S)波段模型:经验性质与解释
. 最近的实证研究使用(S;S)具有时变随机带的模型,用于描述价格和其他变量的不频繁调整。本文研究了该模型的一些性质,该模型包含了大多数使不频繁变化合理化的微基础调整规则。我们说明,该模型也足够灵活,以拟合的特点是不频繁的调整和可变的调整大小的数据。我们表明,在调整规模存在可变性的程度上(例如,如果观察到价格的小变化和大变化),i)需要一个大的波段参数来拟合数据,ii)模型中不作为的平均波段可能与典型观察到的调整规模显著不同。因此,本文提供了一个循环经验结果的合理化:测量不作为范围的参数的非常大的估计值。
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