Replication Data for: Estimating Parties’ Policy Positions in Uruguay: Comparing Scaling Methods Based on Legislative Speeches and Roll-Call Votes
Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)
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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
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Identifier |
https://doi.org/10.7910/DVN/ONTLTP
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Creator |
Lujan, Diego
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Publisher |
Harvard Dataverse
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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. |
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Subject |
Social Sciences
political parties policy positions scaling methods roll-call votes legislative speeches Uruguay |
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Date |
2024-01-23
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Contributor |
Lujan, Diego
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