Misclassification-Errors-Adjusted Sahm Rule for Early Identification of Economic Recession

18 Pages Posted: 27 Apr 2020 Last revised: 6 May 2025

See all articles by Shuaizhang Feng

Shuaizhang Feng

Shanghai University of Finance and Economics

Jiandong Sun

Jinan University

Abstract

Accurate identification of economic recessions in a timely fashion is a major macroeconomic challenge. The most successful early detector of recessions, the Sahm rule, relies on changes in unemployment rates, and is thus subject to measurement errors in the U.S. labor force statuses based on survey data. We propose a novel misclassification-error-adjusted Sahm recession indicator and provide empirically-based optimal threshold values. Using historical data, we show that the adjusted Sahm rule offers earlier identification of economic recessions. Based on the newly released U.S. unemployment rate in March 2020, our adjusted Sahm rule diagnoses the U.S. economy is already in recession, while the original Sahm rule does not.

Keywords: misclassification errors, Sahm rule, economic recession, unemployment rate

JEL Classification: J64, E32

Suggested Citation

Feng, Shuaizhang and Sun, Jiandong, Misclassification-Errors-Adjusted Sahm Rule for Early Identification of Economic Recession. IZA Discussion Paper No. 13168, Available at SSRN: https://ssrn.com/abstract=3584931

Shuaizhang Feng (Contact Author)

Shanghai University of Finance and Economics

777 Guoding Road
Shanghai, AK 200433
China

Jiandong Sun

Jinan University

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