Multiple Ideal Points: Revealed Preferences in Different Domains

摘要: We extend classical ideal point estimation to allow voters have different preferences when voting in domains – for example on agricultural policy than defense policy. Our scaling procedure results estimated points a common scale. As result, we are able directly compare member’s revealed across of (different sets motions) assess if, example, member votes more conservatively agriculture motions defense. In doing so the extent which behavior an individual voter is consistent with uni-dimensional spatial model if has same all domains. The key novelty estimate rather assume identity “stayers” whose preference constant votes. approach offers methodology investigating relationship between basic space and issue legislative (Poole, 2007). There several methodological advantages our approach. First, allows testing sharp-hypotheses. Second, developed can be understood as kind partial-pooling IRT scaling, resulting less uncertainty estimates. Related, method provides principled unified “granulatity” (i.e. level aggregation) analysis roll-call data (Crespin & Rohde, 2010; Roberts, Smith, Haptonstahl, 2016). illustrate by estimating U.S. House Representatives members’ domains, identify other potential applications including: studying committee floor behavior; constituency influence representation.