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.
In Hardee, both mid and low contrasts are negative from 2016 to 2020, suggesting that the gender effect contributes more to the weight of the high-income factor over time
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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.