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NOMINATE×Ideal Point Estimation×
ГалузьPolitical SciencePolitical Science
РодинаLatent structureLatent structure
Рік появи19852004
Автор методуKeith T. Poole and Howard RosenthalClinton, Jackman & Rivers (Bayesian formulation); Poole & Rosenthal (spatial tradition)
ТипSpatial scaling model of roll-call votingLatent-variable spatial model of binary choice data
Основоположне джерелоPoole, K. T., & Rosenthal, H. (1985). A Spatial Model for Legislative Roll Call Analysis. American Journal of Political Science, 29(2), 357–384. DOI ↗Clinton, J., Jackman, S., & Rivers, D. (2004). The Statistical Analysis of Roll Call Data. American Political Science Review, 98(2), 355–370. DOI ↗
Інші назвиDW-NOMINATE, W-NOMINATE, Nominal Three-Step Estimation, Poole-Rosenthal scoresIdeal point model, Item response theory for roll calls, Spatial voting model, Bayesian ideal points
Пов'язані34
ПідсумокNOMINATE — 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.Ideal point estimation recovers the latent policy positions — ideal points — of political actors from their observed binary choices, most often legislators' yea/nay votes on roll calls. Building on the spatial theory of voting and formalized as a Bayesian item-response model by Clinton, Jackman, and Rivers in 2004, it places each legislator and each bill in a low-dimensional policy space and estimates positions so that the probability a legislator votes yea increases as the bill's 'yea' outcome moves closer to that legislator's ideal point.
ScholarGateНабір даних
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  2. 3 Джерела
  3. PUBLISHED
  1. v1
  2. 3 Джерела
  3. PUBLISHED

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ScholarGateПорівняння методів: NOMINATE · Ideal Point Estimation. Отримано 2026-06-24 з https://scholargate.app/uk/compare