Article ID Journal Published Year Pages File Type
5053952 Economic Modelling 2015 11 Pages PDF
Abstract

•Use the pooled mean group (PMG) estimator•Panel data across 48 continental U.S. states and 60 years.•Larger growth volatility positively and significantly affects income inequality.•Finding robust to alternative volatility indicators and inequality measures•Finding robust to alternative lags, conditioning variables, and time periods

This paper assesses the long-run effect of growth volatility on income inequality using a comprehensive panel of annual U.S. state-level data during the 1945 to 2004 period. Using the pooled mean group (PMG) estimator, we find evidence supporting the hypothesis that larger growth volatility positively and significantly associates with higher income inequality. Our key finding is robust to alternative lag structures, conditioning variables, inequality measures, volatility indicators, time periods, and panel estimators. Our key finding does change for asymmetric effects, where larger growth volatility positively and significantly associates with higher income inequality only for positive economic growth. The volatility effect proves positive, but insignificant, for negative economic growth.

Related Topics
Social Sciences and Humanities Economics, Econometrics and Finance Economics and Econometrics
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