Seeing Through the Shutdown’s Missing Inflation Data

Martin Almuzara and Geert Mesters
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Geert Mesters: https://www.newyorkfed.org/research/economists/mesters

No 20260217, Liberty Street Economics from Federal Reserve Bank of New York

Abstract: Data releases for inflation have been scarce over the past four months due to the government shutdown. As a result, until January 22 no personal consumer expenditures (PCE) data were available beyond September and the consumer price index (CPI) had many missing entries for the one-month changes for October and November. In this post, we use an extended version of the New York Fed’s Multivariate Core Trend (MCT) inflation model to examine changes in underlying inflation over this period. The MCT model is well-suited to do so because it decomposes sectoral inflation rates into a trend (“persistent”) and a transitory component. In contrast to core (ex-food and energy) inflation, its aim is to remove all transitory factors, thus identifying the underlying trend. In addition, since the model can handle missing data—like for October—it can produce values for trend inflation for months where little or no data were released. Our findings suggest caution: while the fragmented data from November initially signaled a deceleration in price pressures, the integration of December data indicates that these reductions were largely transitory. Once the full data set is used, the aggregate trend for December stands at 2.83 percent, an increase from 2.55 percent in September.

Keywords: Shutdown; inflation; trend; Multivariate Core Trend (MCT) (search for similar items in EconPapers)
JEL-codes: C32 E31 (search for similar items in EconPapers)
Date: 2026-02-17
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DOI: 10.59576/lse.20260217

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