Journal of Statistics: Advances in Theory and ApplicationsAuthor's: Gordon Bechtel
Pages: [35] - [49]
Received Date: February 15, 2016
Submitted by:
DOI: http://dx.doi.org/10.18642/jsata_7100121633
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.
American community survey, economic indicators, experiential distributions, latent and population-weighted regressions, spatial and temporal poverty.
