NOMINATE
NOMINATE — Nominal Three-step Estimation — is the family of spatial scaling procedures developed by Keith Poole and Howard Rosenthal to recover legislators' ideological positions from roll-call votes. Each legislator and the yea and nay outcomes of each vote are placed in a low-dimensional space, and a normal (Gaussian) deterministic utility plus a random shock governs choices. Fitted by maximum likelihood, NOMINATE produces the canonical ideal-point coordinates used to chart polarization across two centuries of the U.S. Congress, with the dynamic DW-NOMINATE variant allowing positions to drift smoothly over time.
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来源
- Poole, K. T., & Rosenthal, H. (1985). A Spatial Model for Legislative Roll Call Analysis. American Journal of Political Science, 29(2), 357–384. DOI: 10.2307/2111172 ↗
- Poole, K. T., & Rosenthal, H. (1997). Congress: A Political-Economic History of Roll Call Voting. New York: Oxford University Press. ISBN: 9780195055771
- Carroll, R., Lewis, J. B., Lo, J., Poole, K. T., & Rosenthal, H. (2009). Measuring Bias and Uncertainty in DW-NOMINATE Ideal Point Estimates via the Parametric Bootstrap. Political Analysis, 17(3), 261–275. DOI: 10.1093/pan/mpp005 ↗
如何引用本页
ScholarGate. (2026, June 22). NOMINATE (Nominal Three-Step Estimation of Spatial Voting). ScholarGate. https://scholargate.app/zh/political-science/nominate-estimation
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将本方法与其最相近的同类并置，并排研读——本馆将书籍铺陈于案上，取舍则由您定夺。
- Ideal Point EstimationPolitical Science↔ 比较
- Roll-Call AnalysisPolitical Science↔ 比较
- Wordfish ScalingPolitical Science↔ 比较