Recent research suggests that income redistribution preferences vary across identity groups. We employ statistical learning methods which emphasize pattern recognition, classification and regression trees (CARTTM) and random forests (RandomForestsTM), to uncover what these groups are. Using data...

Particular demographic groups are often associated with distinct points of view across various dimensions of redistribution policy. In this paper, we investigate which demographic groups account for heterogeneity in views on welfare policy and views on appropriate levels of overall...

Recent research suggests that income redistribution preferences vary across identity groups. We employ a new pattern recognition technology, tree regression analysis, to uncover what these groups are. Using data from the General Social Survey, we present a new stylized fact that preferences for...