A Spatial Model for Legislative Roll Call Analysis
- Creators
- Poole, Keith T.
- Rosenthal, Howard
Abstract
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. Extensive Monte Carlo studies are also presented. Substantive applications using the results for the Senate are briefly illustrated.
Additional Information
This work was initiated while Poole was a Political Economy Fellow at Carnegie-Mellon and completed 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. This version of the paper has benefited from seminars at Caltech and Stanford. Published as Poole, Keith T., and Howard Rosenthal. "A spatial model for legislative roll call analysis." American Journal of Political Science (1985): 357-384.Attached Files
Submitted - sswp487.pdf
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Additional details
- Eprint ID
- 81716
- Resolver ID
- CaltechAUTHORS:20170921-160401399
- Carnegie Mellon University
- Sherman Fairchild Foundation
- Created
-
2017-09-22Created from EPrint's datestamp field
- Updated
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2019-10-03Created from EPrint's last_modified field
- Caltech groups
- Social Science Working Papers
- Series Name
- Social Science Working Paper
- Series Volume or Issue Number
- 488