In this paper we consider ML estimation for a broad class of parameter-driven models for discrete dependent variables with spatial correlation. Under this class of models, which includes spatial discrete choice models, spatial Tobit models and spatial count data models, the dependent variable is...

Since the emergence of partisan cable news networks (CNN, Fox News, and MSNBC) in the mid-1990s, the way many Americans get their political information has changed. Previous research has examined the associations between cable news viewership and individuals' political knowledge, attitudes, and...

We study geographic political representation and geographic distribution of local public goods within local jurisdictions using geo-coded data on politicians, the electorate and elementary schools. Descriptive analysis reveals that poorer neighborhoods are under-represented and that local...