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.
Baseline - high income factor, larger positive change (bright yellow) and larger negative change (dark blue)
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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.