Modeling the Political Geography of Presidential Voting
In this chapter we model the political geography of partisan voting that we identified in Chap. 2. We do so for each presidential election from 1828 through 2016 using a common set of covariates for each election. These covariates capture some of the principal fault lines in American political history: race, immigration, and the rural-urban divide. We find that the effects of these variables on partisan voting have changed in meaningful ways over the course of American electoral history.
- Anselin, L. (2005). Spatial regression analysis in R: A workbook. Typescript. Center for Spatially Integrated Social Science, University of Illinois at Urbana-Champaign.Google Scholar
- Mink, G. (1990). Old labor and new immigrants in American political development: Union, party and state, 1875–1920. Ithaca: Cornel University Press.Google Scholar
- Putnam, R.D. (2000). Bowling alone: The collapse and revival of American community. New York: Simon & Schuster.Google Scholar