Estimating party influence on roll call voting: Regression coefficients versus classification success

Citation
Jm. Snyder et T. Groseclose, Estimating party influence on roll call voting: Regression coefficients versus classification success, AM POLI SCI, 95(3), 2001, pp. 689-698
Citations number
10
Categorie Soggetti
Politucal Science & public Administration
Journal title
AMERICAN POLITICAL SCIENCE REVIEW
ISSN journal
00030554 → ACNP
Volume
95
Issue
3
Year of publication
2001
Pages
689 - 698
Database
ISI
SICI code
0003-0554(200109)95:3<689:EPIORC>2.0.ZU;2-H
Abstract
Contrary to the claims of McCarty, Poole, and Rosenthal, our method does no t estimate the ideal points of moderates significantly less accurately than the ideal points of extremists. This is true for at least two reasons: (1) there is significant randomness in voting; as a consequence, on a lopsided vote Moderates often vote with the extremists; and (2) our data set includ es some roll calls that require a supermajority for passage; for these we d efine a 50%-50% roll call as lopsided. We also show that the classification -success method of McCarty, Poole, and Rosenthal severely, understates the presence of party influence. Furthermore, we show that a proper interpretat ion of some of their results reveals a significant amount of party influenc e in Congress.