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Title: Replication data for: Deep Interactions with MRP: Election Turnout and Voting Patterns Among Small Electoral Subgroups      
dateReleased:
04-02-2015
downloadURL: http://hdl.handle.net/1902.1/18580
ID:
hdl:1902.1/18580
description:
Using multilevel regression and poststratification (MRP), we estimate voter turnout and vote choice within deeply interacted subgroups: subsets of the population that are defined by multiple demographic and geographic characteristics. This article lays out the models and statistical procedures we use, along with the steps required to fit the model for the 2004 and 2008 Presidential elections. Though MRP is an increasingly popular method, we improve upon it in numerous ways: deeper levels of covariate interaction, allowing for non-linearity and non-monotonicity, accounting for unequal inclusion probabilities that are conveyed in survey weights, post-estimation adjustments to turnout and voting levels, and informative multidimensional graphical displays as a form of model checking. We use a series of examples to demonstrate the flexibility of our method, including an illustration of turnout and vote choice as subgroups become increasingly detailed, and an analysis of both vote choice changes and turnout changes from 2004 to 2008.
description:
Ghitza, Yair; Gelman, Andrew, 2012, "Replication data for: Deep Interactions with MRP: Election Turnout and Voting Patterns Among Small Electoral Subgroups", http://hdl.handle.net/1902.1/18580, Harvard Dataverse, V3
name:
Ghitza, Yair
Gelman, Andrew
homePage: http://www.harvard.edu/
name:
Harvard University
ID:
SCR:011273
abbreviation:
DataVerse
homePage: http://thedata.org/
name:
Dataverse Network Project
ID:
SCR:001997