The Legislative Studies Quarterly is an international journal devoted to the publication of research on representative assemblies. Its purpose is to disseminate scholarly work on parliaments and legislatures, their relations to other political institutions, their functions in the political system, and the activities of their members both within the institution and outside. The Quarterly invites contributions from scholars in all countries. Its pages are open to all research approaches consistent with the normal canons of scholarship, and to work on representative assemblies in all settings and all time periods. The aim of the Quarterly is to contribute to the formulation and verification of general theories about legislative systems, processes, and behavior. The editors encourage contributors to emphasize the cross-national implications of their findings, even if these findings are based on research within a single country. The Legislative Studies Quarterly is the official journal of the Legislative Studies Section of the American Political Science Association.
Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

131 to 140 of 165 Results
Jun 18, 2019
Doherty, David; Harbridge-Yong, Laurel, 2019, "Replication Data for: The Effects of Blaming Others for Legislative Inaction on Individual and Collective Evaluations", https://doi.org/10.7910/DVN/XHGDPA, Harvard Dataverse, V1, UNF:6:kj8TZ58gDMany6hb6s9D9Q== [fileUNF]
Code and data files needed to replicate findings reported in the article and online appendix.
Jun 1, 2019
Ban, Pamela; Palmer, Maxwell; Schneer, Benjamin, 2019, "Replication Data for: From the Halls of Congress to K Street: Government Experience and its Value for Lobbying", https://doi.org/10.7910/DVN/IWMH4T, Harvard Dataverse, V1, UNF:6:XLO9YLxuFIzE8ix7Yb8Zew== [fileUNF]
Replication files for "From the Halls of Congress to K Street: Government Experience and its Value for Lobbying"
Apr 16, 2019
Minozzi, William, 2019, "Replication package for "Constituent Communication through Telephone Town Halls"", https://doi.org/10.7910/DVN/LGBXWX, Harvard Dataverse, V1, UNF:6:Nuh9n+hQeJvPouUiBAcFwQ== [fileUNF]
This package contains data and R code for replicating the results of "Constituent Communication through Telephone Town Halls: A Field Experiment Involving Members of Congress"
Feb 10, 2019
Cottrell, David, 2019, "Replication Data for: Using computer simulations to measure the effect of gerrymandering on electoral competition in the U.S. Congress", https://doi.org/10.7910/DVN/6QE7NN, Harvard Dataverse, V1
This is the replication data and the source code for replicating the results of the analysis.
Oct 4, 2018
Goplerud, Max; Fernandes, Jorge; Won, Miguel, 2018, "Replication Data for: Legislative Bellwethers: The Role of Committee Membership in Parliamentary Debate", https://doi.org/10.7910/DVN/D9H5LH, Harvard Dataverse, V1
Replication Data for: Legislative Bellwethers: The Role of Committee Membership in Parliamentary Debate. This contains all of the raw data and code needed to reproduce (i) the classification of speeches into committee jurisdiction as discussed in the paper and (ii) all of the tables and figures used in the analysis.
Oct 3, 2018 - Harvard Dataverse
Krimmel, Katherine, 2018, "Replication Data for Rights by Fortune or Fight? Reexamining the Addition of Sex to Title VII of the Civil Rights Act", https://doi.org/10.7910/DVN/TYSETW, Harvard Dataverse, V1, UNF:6:PZqf96HaGbDdtIOpMC86Iw== [fileUNF]
This replication file contains all R scripts and datasets used for all analyses and graphs associated with "Right by Fortune or Right? Reexamining the Addition of Sex to Title VII of the Civil Rights Act."
Sep 23, 2018
Müller, Jochen; Bäck, Hanna; Baumann, Markus; Debus, Marc, 2018, "Replication Data for: “The Unequal Distribution of Speaking Time in Parliamentary Party Groups” by Hanna Bäck, Markus Baumann, Marc Debus and Jochen Müller.", https://doi.org/10.7910/DVN/OESR62, Harvard Dataverse, V1, UNF:6:BBSumftSiEaidbw2e9J72Q== [fileUNF]
Parliamentary debates provide an arena where MPs present, challenge or defend public policies. However, the “plenary bottleneck” allows the party leadership to decide who participates in a debate. We argue that in this decision the timing of a debate matters: in proximity of elections the leadership should be concerned with maintaining its brand na...
Aug 15, 2018 - Jonathan Slapin Dataverse
Slapin, Jonathan, 2018, "Replication Data for: “Party Strategies, Constituency Links, and Legislative Speech”", https://doi.org/10.7910/DVN/HJF8UO, Harvard Dataverse, V1, UNF:6:GIBdubDtSQULDtjYqxgojw== [fileUNF]
Eduardo Alemán, Margarita M. Ramírezand Jonathan B. Slapin (2017) “Party Strategies, Constituency Links, and Legislative Speech” Legislative Studies Quarterly 42(4).
Aug 15, 2018 - Jonathan Slapin Dataverse
Slapin, Jonathan; Jensen, Christian B.; Proksch, Sven-Oliver, 2018, "Replication Data for: “Parliamentary Questions, Oversight, and National Opposition Status in the European Parliament”", https://doi.org/10.7910/DVN/SWUYZR, Harvard Dataverse, V1, UNF:6:LiKMQQZb7IFj4zjtAS89ug== [fileUNF]
Christian Jensen, Sven-Oliver Proksch and Jonathan B. Slapin (2013) “Parliamentary Questions, Oversight, and National Opposition Status in the European Parliament” Legislative Studies Quarterly 38(2)
Aug 7, 2018
Proksch, Sven-Oliver; Lowe, Will; Waeckerle, Jens; Soroka, Stuart, 2018, "Replication Data for: "Multilingual Sentiment Analysis: A New Approach to Measuring Conflict in Legislative Speeches" by Sven-Oliver Proksch, Will Lowe, Jens Wäckerle and Stuart Soroka", https://doi.org/10.7910/DVN/ALFLK6, Harvard Dataverse, V1, UNF:6:j3YRnTPXhmpZCt1TNVtupA== [fileUNF]
Please see the file "Replication_Readme.pdf" for details on how to run the analysis. Data and Code for "Multilingual Sentiment Analysis: A New Approach to Measuring Conflict in Legislative Speeches" by Sven-Oliver Proksch, Will Lowe, Jens Wäckerle and Stuart Soroka.
Add Data

Sign up or log in to create a dataverse or add a dataset.

Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.