2010
DOI: 10.1093/pan/mpp038
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Unpredictable Voters in Ideal Point Estimation

Abstract: Ideal point estimators are typically based on an assumption that all legislators are equally responsive to modeled dimensions of legislative disagreement; however, particularistic constituency interests and idiosyncrasies of individual legislators introduce variation in the degree to which legislators cast votes predictably. I introduce a Bayesian heteroskedastic ideal point estimator and demonstrate by Monte Carlo simulation that it outperforms standard homoskedastic estimators at recovering the relative posi… Show more

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Cited by 42 publications
(27 citation statements)
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References 26 publications
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“…11 Like the debate-score aggregation model, this is a heteroskedastic-by-legislator scaling model (Lauderdale 2010) and treats Senators ideals points as constant over time in order to isolate the effects of legislator replacement and avoid difficulties with inter-temporal identification.…”
Section: Us Senatementioning
confidence: 99%
“…11 Like the debate-score aggregation model, this is a heteroskedastic-by-legislator scaling model (Lauderdale 2010) and treats Senators ideals points as constant over time in order to isolate the effects of legislator replacement and avoid difficulties with inter-temporal identification.…”
Section: Us Senatementioning
confidence: 99%
“…See, e.g., Jessee 2009;Schofield et al 1998. 20 This works very similar to Lauderdale's analysis of unpredictable voters in ideal point analysis, in that some actors systematically deviate from the ideological expected behavior due to increasing variance (see Lauderdale 2010). 21 In order to illustrate this further, one might employ a simplified version of an item-response model.…”
Section: Policy Platformsmentioning
confidence: 82%
“…Another modification to deal with unpredictable voters was suggested by Lauderdale (2010). It is also possible to relax some of the assumptions of the spatial voting model.…”
Section: Resultsmentioning
confidence: 99%