Publication Type
Journal Article
Version
acceptedVersion
Publication Date
4-2017
Abstract
Well-established methods exist for measuring party positions, but reliable means for estimating intra-party preferences remain underdeveloped. While most efforts focus on estimating the ideal points of individual legislators based on inductive scaling of roll call votes, this data suffers from two problems: selection bias due to unrecorded votes and strong party discipline, which tends to make voting a strategic rather than a sincere indication of preferences. By contrast, legislative speeches are relatively unconstrained, as party leaders are less likely to punish MPs for speaking freely as long as they vote with the party line. Yet, the differences between roll call estimations and text scalings remain essentially unexplored, despite the growing application of statistical analysis of textual data to measure policy preferences. Our paper addresses this lacuna by exploiting a rich feature of the Swiss legislature: on most bills, legislators both vote and speak many times. Using this data, we compare text-based scaling of ideal points to vote-based scaling from a crucial piece of energy legislation. Our findings confirm that text scalings reveal larger intra-party differences than roll calls. Using regression models, we further explain the differences between roll call and text scalings by attributing differences to constituency-level preferences for energy policy
Discipline
Models and Methods | Political Science
Publication
Political Science Research and Methods
Volume
5
Issue
2
First Page
379
Last Page
396
ISSN
2049-8470
Identifier
10.1017/psrm.2015.77
Publisher
Cambridge University Press
Citation
SCHWARZ, Daniel, TRABER, Denise, & BENOIT, Kenneth.(2017). Estimating intra-party preferences: Comparing speeches to votes. Political Science Research and Methods, 5(2), 379-396.
Available at: https://ink.library.smu.edu.sg/soss_research/3976
Copyright Owner and License
Publisher
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1017/psrm.2015.77