Core inflation measures constructed by excluding particularly volatile items from the price index have a long history. The most common such measures are indexes excluding the prices of food and energy items. This paper attempts to shed some statistical light on the impact of excluding certain items from the personal consumption expenditures (PCE) price index. In particular, I am interested in the trade-off between reducing shortrun volatility (relative to the volatility of the headline index) and possibly distorting the measurement of inflation over longer horizons. Some of the questions this paper addresses are: Which items have the highest time series volatility? Among the items with high volatility, are there meaningful patterns in the distribution of volatility across high and low frequencies? Which items, by their exclusion, have the largest impact on longer-horizon measures of inflation? And which, by their exclusion, contribute the most to reducing high-frequency volatility in measured inflation? Excluding items that answer the last question yields a PCE index which compares favorably to PCE ex food and energy along several dimensions, while excluding only half as many items by expenditure weight.
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