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This paper analyzes inflation dynamics in 21 advanced and emerging market economies since 2020. We decompose inflation into core inflation as measured by the weighted median inflation rate, and headline shocks––deviations of headline inflation from core. Headline shocks occurred largely on account of energy price changes, although food price changes and indicators of supply chain problems also played a role. We explain the evolution of core inflation with two factors: the strength of macroeconomic conditions—measured by the unemployment gap, the output gap, and the ratio of job vacancies to unemployment—and the pass-through into core inflation from past headline shocks. We conclude that the international rise and fall of inflation since 2020 largely reflected the direct and pass-through effects of headline shocks. Macroeconomic conditions generally played a secondary role. In the United States, estimated price pressures from strong macroeconomic conditions had been greater than in other economies but have eased.
Large price changes in industries affected by the COVID-19 pandemic caused erratic fluctuations in the U.S. headline inflation rate. This paper compares alternative approaches to filtering out the transitory effects of these industry price changes and measuring the underlying or core level of inflation over 2020-2021, the height of the pandemic. The Federal Reserve’s preferred measure of core, the inflation rate excluding food and energy prices, performed poorly over that period: it was almost as volatile as headline inflation. Measures of core that exclude a fixed set of additional industries, such as the Atlanta Fed’s sticky-price inflation rate, were less volatile, but the least volatile were measures that filter out large price changes in any industry, such as the Cleveland Fed’s median inflation rate and the Dallas Fed’s trimmed mean inflation rate. These core measures followed smooth paths, drifting down when the economy was weak in 2020 and then rising as the economy rebounded.
This paper analyzes the dramatic rise in U.S. inflation since 2020, which we decompose into a rise in core inflation as measured by the weighted median inflation rate and deviations of headline inflation from core. We explain the rise in core with two factors, the tightening of the labor market as captured by the ratio of job vacancies to unemployment, and the pass-through into core from past shocks to headline inflation. The headline shocks themselves are explained largely by increases in energy prices and by supply chain problems as captured by backlogs of orders for goods and services. Looking forward, we simulate the future path of inflation for alternative paths of the unemployment rate, focusing on the projections of Federal Reserve policymakers in which unemployment rises only modestly to 4.4 percent. We find that this unemployment path returns inflation to near the Fed’s target only under optimistic assumptions about both inflation expectations and the Beveridge curve relating the unemployment and vacancy rates. Under less benign assumptions about these factors, the inflation rate remains well above target unless unemployment rises by more than the Fed projects.
This paper analyzes market reactions to the 2013-14 Fed announcements related to the tapering of asset purchases and examines how these reactions are influenced by financial depth. The study focuses on long-term government bond yields and uses daily data for all emerging markets. Controlling for all time-invariant country characteristics as well as time-varying macroeconomic fundamentals (changes in current account, fiscal balance, GDP growth, and inflation), countries with deeper domestic financial markets (as measured by higher bank credit, M2, M3, or stock market capitalization) experienced smaller increases in government bond yields during four-day windows around Federal Open Market Committee (FOMC) announcements related to tapering. Countries with better macroeconomic fundamentals (measured by improvements in current account, fiscal balance, and GDP growth) also experienced smaller increases in government bond yields around such episodes.
We examine the strength of monetary transmission in India, using a conventional structural VAR methodology. We find that a tightening of monetary policy is associated with a significant increase in bank lending rates and conventional effects on the exchange rate, though pass-through to lending rates is only partial and exchange rate effects are weak. We could find no significant effects on real output or the inflation rate. Though the message for the effectiveness of monetary transmission in India is therefore mixed, our results for India are more favorable than is often found for other developing countries.
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