This chapter discusses recent developments in inflation forecasting. We perform a horse-
race among a large set of traditional and recently developed forecasting methods, and …

ABSTRACT I study how online competition, with its algorithmic pricing technologies and the
transparency of the Internet, can change the pricing behavior of large retailers and affect …

There have been important methodological changes in the Consumer Price Index (CPI) over
time. These distort comparisons of inflation from different periods, which have become more …

We develop metrics based on Shapley values for interpreting time-series forecasting
models, including “black-box” models from machine learning. Our metrics are model …

Federal Reserve Bank of St. Louis Review, July/August 2011, 93 (4), pp. 223-33. inflation as
a meaningful way to interpret the inflation process in the United States. One immediate …

What inflation measure should central banks target? This paper highlights a mechanism
where monetary policy optimally targets headline inflation if households pay limited attention …

This paper–which takes into consideration overall experience with the Harmonised Index of
Consumer Prices (HICP) as well as the improvements made to this measure of inflation …

Abstract “Core” PCE inflation—that is, inflation in PCE-ex-food-and-energy—is widely used
as an estimate of trend inflation. But it is long overdue for replacement. The original rationale …

We formulate a two‐sector New Keynesian economy featuring sectoral heterogeneity along
three dimensions: price stickiness, consumption goods durability, and the usage of input …

Out of concern about high post-COVID-19 inflation, we examine the dynamic relationship
between US inflation and global commodity prices by using the asymmetric Granger …