Bayesian dynamic models with random walk and shrinkage priors for time-varying income distributions yield more precise and stable estimates of inequality and poverty measures than independent year-by-year fits.
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Flexible Bayesian Models for Time-Varying Income Distributions
Bayesian dynamic models with random walk and shrinkage priors for time-varying income distributions yield more precise and stable estimates of inequality and poverty measures than independent year-by-year fits.