Estimating Spatial Voting Models with Endogeneous Candidate Positions

PI display: 
Ken Scheve, Allison Sovey
ISPS ID: 
P10-007
Date: 
June 28, 2010
Status: 
Analysis
Location: 
United States
Context: 
Political Behavior
Planning document / hypotheses: 
Conventional approaches for estimating spatial voting parameters are biased. This project proposes a method to correct for that.
Discipline: 
Political Science
Area of study: 
Methodology
Last updated: 
August 12, 2010