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Measuring Bias and Uncertainty in DW-NOMINATE Ideal Point Estimates via the Parametric Bootstrap
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Citations
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References
2009
Year
Parameter EstimationEngineeringStatistical FoundationSocial SciencesUncertainty QuantificationPolitical ScienceEstimation TheoryApproximation TheoryStatisticsElection ForecastingParametric BootstrapU.s. CongressEstimation StatisticLegislative AspectPolitical CompetitionBootstrap ResamplingStatistical InferencePolitical PartiesDw-nominate Scores
DW-NOMINATE scores for the U.S. Congress are widely used measures of legislators' ideological locations over time. These scores have been used in a large number of studies in political science and closely related fields. In this paper, we extend the work of Lewis and Poole (2004) on the parametric bootstrap to DW-NOMINATE and obtain standard errors for the legislator ideal points. These standard errors are in the range of 1%–4% of the range of DW-NOMINATE coordinates.
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