Ideal Point Estimation
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.
Pročitajte cijelu metodu
Prijavite se besplatnim računom kako biste pročitali ovaj odjeljak.
Karta metoda
Okruženje srodnih metoda — odaberite čvor za istraživanje.
+2 više
Izvori
- Clinton, J., Jackman, S., & Rivers, D. (2004). The Statistical Analysis of Roll Call Data. American Political Science Review, 98(2), 355–370. DOI: 10.1017/S0003055404001194 ↗
- Jackman, S. (2001). Multidimensional Analysis of Roll Call Data via Bayesian Simulation: Identification, Estimation, Inference, and Model Checking. Political Analysis, 9(3), 227–241. DOI: 10.1093/polana/9.3.227 ↗
- Poole, K. T., & Rosenthal, H. (1997). Congress: A Political-Economic History of Roll Call Voting. New York: Oxford University Press. ISBN: 9780195055771
Kako citirati ovu stranicu
ScholarGate. (2026, June 22). Ideal Point Estimation (Bayesian Spatial Voting Models). ScholarGate. https://scholargate.app/hr/political-science/ideal-point-estimation
Koja metoda?
Postavite ovu metodu uz njoj najsrodnije i pročitajte ih jednu uz drugu — knjižnica vam knjige stavlja na stol; izbor je na vama.
- NOMINATEPolitical Science↔ usporedi
- Roll-Call AnalysisPolitical Science↔ usporedi
- Wordfish ScalingPolitical Science↔ usporedi
- WordscoresPsihometrija↔ usporedi
Citirana u
Slične metode
Uočili ste pogrešku na ovoj stranici? Prijavite je ili predložite ispravak →