British Journal of Political Science (BJPolS) is a broad based journal aiming to cover developments across a wide range of countries and specialisms.

BJPolS is a signatory of the Data Access and Research Transparency (DA-RT) statement, promoting data sharing and research transparency in political science. This site is dedicated to the replication data for the articles it publishes.

For more information about contributing to the journal, read the Instructions for Contributors. Authors needing help with this repository can view the guide to using BJPolS Dataverse.
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631 to 640 of 640 Results
Aug 25, 2015
Kellam, Marisa, 2015, "Why Preelectoral Coalitions in Presidential Systems?", https://doi.org/10.7910/DVN/29485, Harvard Dataverse, V1
STATA dataset (1) and do-files (2)
Aug 4, 2015
Zachary, Paul, 2015, "Replication Data for: No Business like FIRC Business", https://doi.org/10.7910/DVN/B4H2AU, Harvard Dataverse, V1, UNF:6:IAOA82r+tupU0OSjB82XoQ== [fileUNF]
Replication Data for: No Business like FIRC Business
Jul 30, 2015
Chapman, Terrence, 2015, "Replication data for: Mixed Signals: Crisis Lending and Capital Markets", https://doi.org/10.7910/DVN/29460, Harvard Dataverse, V1
The effect of new IMF lending announcements on capital markets depends on the lender’s political motivations. There are conditions under which lending reduces the risk of a deepening crisis and reduces the risk premium demanded by market actors. On the other hand, the political interests that make lenders willing to lend weaken the credibility of...
Jul 27, 2015
Huang, Haifeng, 2015, "Replication Data for: A War of (Mis)Information: The Political Effects of Rumors and Rumor Rebuttals in an Authoritarian Country", https://doi.org/10.7910/DVN/ITPOOA, Harvard Dataverse, V1, UNF:6:sXYn7IYfofuMEHAcw9zohg== [fileUNF]
Despite the prevalence of anti-government rumors in authoritarian countries, little is currently known about their effects on citizens' attitudes toward the government, and whether the authorities can effectively combat rumors. With an experimental procedure embedded in two surveys about Chinese internet users' information exposure, this study find...
Jul 21, 2015
Finseraas, Henning, 2015, "The Effect of A Booming Local Economy in Early Childhood on the Propensity to Vote: Evidence from a Natural Experiment", https://doi.org/10.7910/DVN/29552, Harvard Dataverse, V1
Replication data and do-file.
Jul 21, 2015
Fowler, Anthony; Hall, Andrew B., 2015, "Long-Term Consequences of Election Results", https://doi.org/10.7910/DVN/29498, Harvard Dataverse, V1
These data sets can be used to replicate all quantitative results from the study. Specially, the data sets contain election results and roll-call summaries for the U.S. House of Representatives, the U.S. Senate, and most state legislatures in the U.S.
Jul 21, 2015
Fazekas, Zoltan; Larsen, Erik Gahner, 2015, "Replication data for: Media content and political behavior in observational research: A critical assessment", https://doi.org/10.7910/DVN/29792, Harvard Dataverse, V1
Data files and replication scripts (in R and Stata) for "Media content and political behavior in observational research: A critical assessment", accepted in British Journal of Political Science. Data files are replication data supplied with "Who's Afraid of Conflict? The Mobilizing Effect of Conflict Framing in Campaign News" (http://dx.doi.org/10....
Jun 25, 2015
Banducci, Susan; Kritzinger, Sylvia; Giebler, Heiko, 2015, "Replication Data for: Knowing More from Less: How the Information Environment Increases Knowledge of Party Positions", https://doi.org/10.7910/DVN/SBGZOJ, Harvard Dataverse, V1
This data set is created from the European Election Study 2009 (PIREDEU) combining post-election survey data and media content analysis. The survey carried out immediately after the election in June 2009 provides the data on citizens’ placement of parties. Data on the media content analysis based on campaign news coverage leading up to the EP elect...
May 27, 2015
tang, min, 2015, "Replication Data for: contingent democratization:when does economic crisis matter", https://doi.org/10.7910/DVN/IFWBLZ, Harvard Dataverse, V1, UNF:6:x2TYjvaMdFc9DMFw5fAfhw== [fileUNF]
it contains the raw data for replication
May 9, 2015 - Christopher J. Fariss Dataverse
Fariss, Christopher, 2015, "Replication Data for: The Changing Standard of Accountability and the Positive Relationship between Human Rights Treaty Ratification and Compliance", https://doi.org/10.7910/DVN/TI77ZP, Harvard Dataverse, V2
Researchers have puzzled over the finding that countries that ratify UN human rights treaties such as the Convention Against Torture are more likely to abuse human rights than non-ratifiers over time. I present evidence that the changing standard of accountability --- the set of expectations that monitoring agencies use to hold states responsible f...
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