  A mean-field like stochastic evolution equation with growth and reset terms
(LGGR model) is used to model wealth distribution in modern societies. The
stationary solution of the model leads to an analytical form for the density
function that is successful in describing the observed data for all wealth
categories. In the limit of high wealth values the proposed density function
has the accepted Tsallis-Pareto shape. Our results are in agreement with the
predictions of an earlier approach based on a mean-field like wealth exchange
process.
