Analyzing Roll Calls with Perfect Spatial Voting
France 1946–1958
Bibliographic Data
| ID | 6231893 |
|---|---|
| Authors | Howard Rosenthal, Howard L Rosenthal (0000-0001-5051-1341, Princeton University), Erik Voeten (0000-0002-1002-3770, George Washington University) |
| Year | 2004 |
| Volume | 48 |
| Issue | 3 |
| Pages | 620-632 |
| Publication date | 2004-07-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | American Journal of Political Science (JOURNAL) |
| Journal identifiers | ISSN: 0092-5853 • E-ISSN: 1540-5907 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/j.0092-5853.2004.00091.x |
| OpenAlex | W2119082646 |
| Language | EN |
| Citations received | 82 |
| References cited | 30 |
A recent methodological advance in legislative roll‐call analysis is especially relevant to the study of legislative behavior outside the setting of the United States Congress. We argue that Poole's (2000) optimal classification method for roll‐call analysis is preferable to parametric methods for studying many legislatures. This is because the nature of party discipline, near‐perfect spatial voting, and parliamentary institutions that provides incentives for strategic behavior lead to severe violations of the error assumptions underlying parametric methods. The robustness of the nonparametric method to the stochastic nature of the data makes it an ideal candidate for studying strategic behavior in legislatures. We illustrate these points with an analysis of data from the French Fourth Republic (1946–1958
Econometrics · Economics · Incentive · Legislature · Microeconomics · Nonparametric statistics · Operations research · Parametric statistics · Political science · Politics · Robustness (evolution · Roll call · Statistics · Voting · Computer Science · Electoral Systems and Political Participation · Engineering · Game Theory and Voting Systems · Law · Mathematics · Media Influence and Politics
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| Unique citing works | 82 |
|---|---|
| Citations per year | 3,9 |
| Citation span | 2005 - 2026 (22) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 81 |