A new Bayesian nonparametric model (NLMFM-C) is proposed to express collections of income densities as mixtures of latent factors with spatial and covariate effects, demonstrated on US PUMS income data from 2016 and 2020.
The posterior mean density estimates provide complementary evidence on how the income distributions of the White and Non-White populations evolved between 2016 and
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Modelling spatial heterogeneity in the effects of area-level covariates on income distributions using Bayesian nonparametric methods
A new Bayesian nonparametric model (NLMFM-C) is proposed to express collections of income densities as mixtures of latent factors with spatial and covariate effects, demonstrated on US PUMS income data from 2016 and 2020.