What We can Learn About the Behaviour of Firms from the Average Monthly Frequency of Price‐Changes: An Application to the UK CPI Data
利用英国CPI数据，从企业调价频率推导出价格持续时间的理论下限，发现实际平均持续时间约为理论最小值的两倍，并构建伯努利-卡尔沃分布用于宏观模型。
Abstract The monthly frequency of price‐changes is a prominent feature of many studies of the CPI micro‐data. In this paper, we see what the frequency implies for the behaviour of price‐setters in terms of the cross‐sectional distribution average of price‐spell durations across firms. We derive a lower bound for the mean duration of price‐spells averaged across firms. We use the UK CPI data at the aggregate and sectoral level and find that the actual mean is about twice the theoretical minimum consistent with the observed frequency. We construct hypothetical Bernoulli–Calvo distributions from the frequency data which we find can result in similar impulse responses to the estimated hazards when used in the Smets–Wouters (2003) model.