Improving the Median CPI: Maximal Disaggregation Isn't Necessarily Optimal
For decades, the Federal Reserve Bank of Cleveland (FRBC) has produced the Median Consumer Price Index (CPI). It has proven useful in various contexts, such as forecasting and understanding post-COVID inflation dynamics. Historically, revisions/improvements to the FRBC methodology have involved increasing the level of disaggregation in the CPI components. Thus, it may be reasonable to assume that further disaggregation improves the properties of the median CPI. We theoretically demonstrate: not necessarily. We then empirically explore the impact of further disaggregation by examining fifteen candidate baskets of CPI items that vary by the level of disaggregation. In line with prior literature, we find that greater disaggregation in the shelter indexes improves the ability of the Median CPI to track the medium-term trend in CPI inflation and its predictive power over future CPI movements. In contrast, increasing disaggregation in the remaining components leads to a deterioration in performance. Our preferred Median CPI measure suggests lower trend inflation pre-pandemic, a faster acceleration in trend inflation in 2021, and a faster deceleration in trend inflation after 2022.
Working Papers of the Federal Reserve Bank of Cleveland are preliminary materials circulated to stimulate discussion and critical comment on research in progress. They may not have been subject to the formal editorial review accorded official Federal Reserve Bank of Cleveland publications. The views expressed in this paper are those of the authors and do not represent the views of the Federal Reserve Bank of Cleveland or the Federal Reserve System.
Suggested Citation
Garciga, Christian, Randal J. Verbrugge, and Saeed Zaman. 2025. “Improving the Median CPI: Maximal Disaggregation Isn't Necessarily Optimal.” Federal Reserve Bank of Cleveland, Working Paper No. 24-02R. https://doi.org/10.26509/frbc-wp-202402r
This work by Federal Reserve Bank of Cleveland is licensed under Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
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