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Replication Data for: Estimating Parties’ Policy Positions in Uruguay: Comparing Scaling Methods Based on Legislative Speeches and Roll-Call Votes

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Title Replication Data for: Estimating Parties’ Policy Positions in Uruguay: Comparing Scaling Methods Based on Legislative Speeches and Roll-Call Votes
 
Identifier https://doi.org/10.7910/DVN/ONTLTP
 
Creator Lujan, Diego
 
Publisher Harvard Dataverse
 
Description This research note takes advantage of a novel dataset to analyze legislators’ behavior in Uruguay’s Parliament. Comparing the positions of legislators based on floor speeches and roll-call voting, it discusses the relationship between discourse and voting among individual legislators and parties. The dataset contains more than 57,000 speeches from more than 1,000 Uruguayan legislators between 1985 and 2015 and its
related R package. The study estimates the parties’ policy positions on the basis
of two data sources, roll-call votes and floor speeches, and then compares both
results. Contrary to expectations, no clear association appears between the two
scaling methods, demonstrating that vote and legislative speech may reflect the
behavior of individual legislators with potentially conflicting goals. Strategic
calculations or party discipline may be plausible explanations for the divergent
results obtained from text and roll-call scaling methods.
 
Subject Social Sciences
political parties
policy positions
scaling methods
roll-call votes
legislative speeches
Uruguay
 
Date 2024-01-23
 
Contributor Lujan, Diego