Modeling Latent Effect Heterogeneity The goal of this project is to provide a series of tools to investigate latent heterogeneity in the effect of treatment variables or other observed covariates. Latent heterogeneity can occur because latent conditioning terms (i.e., interactive factors) are omitted in the empirical analysis.
In generalized linear models, omitting interactions can lead to latent occurrences Simpson’s Paradox, which is a long-standing problem in statistical analysis in general and in the social sciences in particular.
Information, Income Distribution, and Policy Preferences Classical theories about public preferences for the allocation of political authority in multilevel polities emphasize the role of economic conditions, identity, and nationalist/regionalist values. In developed nations, immigration has played a significant role in public attitudes about supra-national integration.
This project seeks to understand how information about inequality and income distribution affect political attitudes about welfare policies and political integration. How do different social groups process information about inequality?