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A spatial model for legislative roll call analysis

Poole, Keith T. and Rosenthal, Howard (1985) A spatial model for legislative roll call analysis. American Journal of Political Science, 29 (2). pp. 357-384. ISSN 0092-5853. doi:10.2307/2111172.

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A general nonlinear logit model is used to analyze political choice data. The model assumes probabilistic voting based on a spatial utility function. The parameters of the utility function and the spatial coordinates of the choices and the choosers can all be estimated on the basis of observed choices. Ordinary Guttman scaling is a degenerate case of this model. Estimation of the model is implemented in the NOMINATE program for one dimensional analysis of two alternative choices with no nonvoting. The robustness and face validity of the program outputs are evaluated on the basis of roll call voting data for the U.S. House and Senate.

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Additional Information:© 1985 Midwest Political Science Association. Manuscript submitted 4 August 1983; Final manuscript received 14 August 1984. This work was initiated while Poole was a Political Economy Fellow at Carnegie-Mellon and continued while Rosenthal was a Fairchild Scholar at Caltech. We also acknowledge the substantial computational support of the Graduate School of Industrial Administration at Carnegie-Mellon. The paper has benefited from comments made in seminars at Caltech, Carnegie-Mellon, and Stanford. This work was supported by NSF Grant SES-831-390. Formerly SSWP 487.
Funding AgencyGrant Number
Carnegie Mellon UniversityUNSPECIFIED
Sherman Fairchild FoundationUNSPECIFIED
Subject Keywords:Legislators, Voting, Coordinate systems, Mathematical models, Geometric mean, Spatial models, Modeling, Congressional voting, Senators, Utility functions
Issue or Number:2
Record Number:CaltechAUTHORS:20171115-141642157
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:83232
Deposited By: Jacquelyn Bussone
Deposited On:15 Nov 2017 22:58
Last Modified:15 Nov 2021 19:56

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