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.
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151 to 160 of 165 Results
Oct 28, 2013 - Luke Keele Dataverse
Keele, Luke; Malhotra, Neil; McCubbins, Colin, 2013, "Replication data for: Do Term Limits Restrain State Fiscal Policy? Approaches for Causal Inference in Assessing the Effects of Legislative Institutions", https://doi.org/10.7910/DVN/23123, Harvard Dataverse, V1, UNF:5:/7e4nLOSZe9D52SRqwE1qg== [fileUNF]
Replication Materials
Jul 25, 2013 - Jeffrey J. Harden Dataverse
Harden, Jeffrey J., 2013, "Replication data for: Multidimensional Responsiveness: The Determinants of Legislators' Representational Priorities", https://doi.org/10.7910/DVN/DPQEHZ, Harvard Dataverse, V3
American politics scholars typically conceptualize representation narrowly as mass-elite policy responsiveness, with many studies identifying factors that hinder that relationship. These findings contrast with the high reelection rates in American legislatures. I show that policy is only one of several dimensions through which legislators provide r...
Mar 10, 2013 - Cesar Zucco Dataverse
Zucco, Cesar; Lauderdale, Benjamin, 2011, "Ideal Point Estimates of Brazilian Legislators (1989-2011)", https://doi.org/10.7910/DVN/HR6OJ7, Harvard Dataverse, V5, UNF:5:PJwLMB9eeufBTxEGSykKbA== [fileUNF]
Files provided include ESTIMATES produced by combining roll call votes and legislative surveys, as detailed in the paper Distinguishing Between Influences on Brazilian Legislative Behavior.
Jan 27, 2013 - Cesar Zucco Dataverse
Zucco, Cesar, 2013, "Roll Call Votes from the Câmara de Deputados", https://doi.org/10.7910/DVN/5OY9NS, Harvard Dataverse, V3, UNF:5:WJR8Vs0jJFQP3TZOYqn/Cg== [fileUNF]
This study contains all roll calls votes taken in the lower house of the Brazilian legislature (Câmara de Deputados), between 1989 and 2010. It combines data originally collected by Figueiredo & Limongi with data publicly available from the Câmara de Deputados' website. These data were used in the paper Distinguishing Between Influences on Brazilia...
Jan 3, 2013 - Slava Jankin Dataverse
Will Lowe; Kenneth Benoit; Slava Mikhaylov; Michael Laver, 2011, "Replication data for: The Manifesto Project data extended to include the logit scales and standard errors", https://doi.org/10.7910/DVN/7QNE9O, Harvard Dataverse, V5, UNF:5:Hs0KFkDbbIrjudzE2eqflg== [fileUNF]
This dataset contains original Manifesto Project data extended to include the logit scales introduced in William Lowe, Kenneth Benoit, Slava Mikhaylov, and Michael Laver. 2011. “Scaling Policy Preferences From Coded Political Texts.” Legislative Studies Quarterly 26(1, Feb): 123-155. The dataset also includes estimations of standard errors introduc...
Mar 28, 2011 - Boris Shor Dataverse
Boris Shor; Christopher Berry; Nolan McCarty, 2011, "Replication data for: A Bridge to Somewhere: Mapping State and Congressional Ideology on a Cross-Institutional Common Space", https://doi.org/10.7910/DVN/P7HU5A, Harvard Dataverse, V2, UNF:5:KXwF/TPc7wZDZEznc9dxQw== [fileUNF]
There are two major problems in applying ideal point estimation techniques to state legislatures. First, there has been a scarcity of longitudinal roll call data. Second, even where such data exist, scaling ideal points within a single state is inadequate. No comparisons can be made to other state legislatures or Congress. Our project suggests a so...
Feb 9, 2011 - Janet M. Box-Steffensmeier Dataverse
Janet Box-Steffensmeier; Peter Radcliffe; Brandon Bartels, 2007, "Replication data for: The Incidence and Timing of PAC Contributions to Incumbent U.S. House Members - 1993-94", https://doi.org/10.7910/DVN/YIJNDA, Harvard Dataverse, V2, UNF:3:bGxOVQ80JCuhlQBwKPi0WQ== [fileUNF]
In this article, we discuss how donor and recipient characteristics affected the incidence and timing of political action committee (PAC) contributions to incumbent members of the U.S. House of Representatives during the 1993–94 election cycle. We contribute to the campaign finance literature by modeling the timing of contributions, which is import...
May 16, 2010 - Matt Levendusky Dataverse
Matthew Levendusky; Jeremy Pope, 2010, "Replication data for: Replication Archive, "Measuring Aggregate Level Ideological Heterogeneity"", https://doi.org/10.7910/DVN/O0MDYV, Harvard Dataverse, V1
Data to replicate the analyses in the aforementioned article.
Jan 20, 2009 - Matt McCubbins Dataverse
Gary W. Cox; William B. Heller; Mathew D. McCubbins, 2009, "Replication data for: Agenda Power in the Italian Chamber of Deputies: 1988 to 2000", https://doi.org/10.7910/DVN/DFWCBA, Harvard Dataverse, V1, UNF:3:iJ+DwkYwdJCynIu/GuUqWA== [fileUNF]
We find strong evidence that governing coalitions in Italy exercise significant negative agenda powers. First, governing parties have a roll rate that is nearly zero, and their roll rate is lower than opposition parties’ roll rates, which average about 20% on all final passage votes. Second, we find that, controlling for distance from the floor med...
Jan 20, 2009 - Matt McCubbins Dataverse
Mathew D. McCubbins, 2009, "U.S. Congressional Rules Data", https://doi.org/10.7910/DVN/TKGV6U, Harvard Dataverse, V1, UNF:3:j0MH/Y6//KtIjuI9xDsi6g== [fileUNF]
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