Dynamic Spatial Bayesian Machine Learning Model: Applications to Intergenerational Economic Mobility and Geographic Income Inequality in the United States
This research developed Dynamic Spatial Bayesian Machine Learning Model (DSP-BART-HS) to analyze intergenerational economic mobility and income inequality using U.S. county data. The model combines non-linear regression trees with spatial and dynamic components to capture complex relationships, proving superior to traditional econometric methods in predicting mobility patterns.