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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121 to 130 of 165 Results
Feb 5, 2020
Ruth Dassonneville; André Blais; Semra Sevi; Jean‐François Daoust, 2020, "Replication Data for: How Citizens Want Their Legislator to Vote", https://doi.org/10.7910/DVN/DQLTVJ, Harvard Dataverse, V1, UNF:6:XrQA6JcVhgS34LLQ5WDxsA== [fileUNF]
This document provides the code for replicating the models, and figures in the paper, "How Citizens Want their Legislator to Vote," which is authored by Ruth Dassonneville, André Blais, Semra Sevi and Jean-François Daoust and appears in Legislative Studies Quarterly.
Dec 19, 2019
Warshaw, Christopher, 2019, "Replication Data for: The Impact of Partisan Gerrymandering on Political Parties", https://doi.org/10.7910/DVN/WVVJFZ, Harvard Dataverse, V1, UNF:6:yMC5U1TxhPi9aRBxsMZIMg== [fileUNF]
Replication Data for: The Impact of Partisan Gerrymandering on Political Parties
Dec 9, 2019
Kayser, Mark A.; Rehmert, Jochen, 2019, "Replication Data for: Coalition Prospects and Policy Change: an Application to the Environment", https://doi.org/10.7910/DVN/QTWTFF, Harvard Dataverse, V1
Replication data for Coalition Prospects and Policy Change: an Application to the Environment
Nov 29, 2019
Muraoka, Taishi, 2019, "Replication Data for: The Cosponsorship Patterns of Reserved Seat Legislators", https://doi.org/10.7910/DVN/CLOTQP, Harvard Dataverse, V1
This study analyzes the bill cosponsorship behavior of reserved seat legislators in the Pakistan National Assembly, where special legislative seats are reserved for women and religious minorities. It offers a critical case because two theories on reserved seat legislators---the theory of electoral incentives and the theory of institutional weakness...
Nov 28, 2019
Harden, Jeffrey J.; Kirkland, Justin H.; Shea, Patrick E., 2019, "Replication Data for: Legislative Transparency and Credit Risk", https://doi.org/10.7910/DVN/3GWZ9J, Harvard Dataverse, V1
Open governance requirements are designed to improve accountability, which implies that transparent governments are more trustworthy stewards of their publicly-invested power. However, transparency may also reduce institutional effectiveness and inhibit political compromise, diminishing the capacity to manage resources responsibly. We assess empiri...
Nov 3, 2019
Asquer, Raffaele; Golden, Miriam A.; Hamel, Brian T., 2019, "Replication Data for: Corruption, Party Leaders, and Candidate Selection: Evidence from Italy", https://doi.org/10.7910/DVN/OSIQ8I, Harvard Dataverse, V1, UNF:6:6YdcrBsmA5j44EhP0dOsHQ== [fileUNF]
Research indicates that voters are not particularly effective at removing corrupt politicians from office, in part because voters make decisions on the basis of many competing factors. Party leaders are much more single-minded than voters and will choose to deselect implicated legislators if it means maintaining a positive party reputation and impr...
Nov 3, 2019
Bowler, Shaun; McElroy, Gail; Müller, Stefan, 2019, "Replication Data for: Campaigns and the Selection of Policy-seeking Representatives", https://doi.org/10.7910/DVN/FR4HOU, Harvard Dataverse, V1, UNF:6:uqBz+/qAUPy6wB3gMXJBfA== [fileUNF]
Can voters learn meaningful information about candidates from their electoral campaigns? As with job market hiring, voters, like employers, cannot know the productivity of candidates, especially challengers, when they elect them. The real productivity of representatives only reveals itself after the election. We explore if the information revealed...
Sep 4, 2019
Mcgrath, Robert J; Jason MacDonald, 2019, "Replication Data for: A Race for the Regs: Unified Government, Statutory Deadlines, and Federal Agency Rulemaking", https://doi.org/10.7910/DVN/HVMSDE, Harvard Dataverse, V1, UNF:6:U5dqWv1x+Km+3AvqczJefg== [fileUNF]
Replication Data for: Jason A. MacDonald and Robert J. McGrath. 2019. “A Race for the Regs: Unified Government, Statutory Deadlines, and Federal Agency Rulemaking” Legislative Studies Quarterly 44(2): 345-381.
Aug 6, 2019
Zittel, Thomas; Nyhuis, Dominic; Baumann, Markus, 2019, "Replication Data for: Geographic Representation in Party-Dominated Legislatures: A Quantitative Text Analysis of Parliamentary Questions in the German Bundestag", https://doi.org/10.7910/DVN/754J03, Harvard Dataverse, V1, UNF:6:NSAmOWqpbNopXcUIfGM6tg== [fileUNF]
Political representation in European democracies is widely considered partisan and collectivist. This paper however stresses that there is more to the representative process in European democracies than just its textbook version. It emphasizes the role of geographic representation as a complementary strategy in party-dominated legislatures that is...
Jul 15, 2019
Goet, Niels D.; Fleming, Thomas G.; Zubek, Radoslaw, 2019, "Replication Data for: Procedural Change in the UK House of Commons, 1811-2015", https://doi.org/10.7910/DVN/0K6LWF, Harvard Dataverse, V3
Recent research has shown an increasing interest in the historical evolution of legislative institutions. The development of the United Kingdom Parliament has received particularly extensive attention. In this paper, we contribute to this literature in three important ways. First, we introduce a complete, machine- readable dataset of all the Standi...
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