Stephen M. Miller (Center for Business and Economic Research and Economics) published “Growth Volatility and Inequality in the U.S.: A Wavelet Analysis,” with Shinhye Chang, University of Pretoria; Rangan Gupta, University of Pretoria; and Mark E. Wohar, University of Nebraska at Omaha and Loughborough University in Physica A: Statistical Mechanics and its Applications this month. This study applies wavelet coherency analysis to explore the relationship between the U.S. economic growth volatility, and income and wealth inequality measures over the period 1917 to 2015 and 1962 to 2014, respectively. The findings provide evidence of positive correlation between the volatility and inequality across high (short-run)- and low-frequencies (long-run).