Latently Regressing Poverty on Income and Inequality

Abstract

Poverty is reduced by mean income about twice as much as it is increased by income standard deviation. This result holds when poverty varies over congressional districts in a spatial regression and over years in a temporal regression. These population-weighted regressions are equivalent to latent regressions over millions of Floridians.