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Political Science Research and Methods (PSRM) is the official journal of the European Political Science Association. It publishes original scholarly work of the highest quality from all subfields of political science with particular focus on research applying rigorous methods to empirical and theoretical problems.

PSRM is a signatory of the Data Access and Research Transparency (DA-RT) statement, promoting data sharing and research transparency in political science. PSRM requires that authors make materials available to enable others to replicate the results of research. This Dataverse is dedicated to that material.

For more information about contributing to the journal, see the instructions for contributors. Authors uploading datasets should see the guide to using PSRM Dataverse.
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1 to 10 of 177 Results
Feb 3, 2018
Hollenbach, Florian; Montgomery, Jacob M. ; Crespo-Tenorio, Adriana, 2018, "Replication Data for: Bayesian versus maximum likelihood estimation of treatment effects in bivariate probit instrumental variable models", doi:10.7910/DVN/GQQUQU, Harvard Dataverse, V1
Bivariate probit models are a common choice for scholars wishing to estimate causal effects in instrumental variable models where both the treatment and outcome are binary. However, standard maximum likelihood approaches for estimating bivariate probit models are problematic. Num...
Jan 17, 2018
Coppock, Alexander, 2017, "Replication Data for: Generalizing from Survey Experiments Conducted on Mechanical Turk: A Replication Approach", doi:10.7910/DVN/F1CFFM, Harvard Dataverse, V2, UNF:6:qPfRplu0K9rpJYIkZAV3vQ==
To what extent do survey experimental treatment effect estimates generalize to other populations and contexts? Survey experiments conducted on convenience samples have often been criticized on the grounds that subjects are sufficiently different from the public at large to render...
Jan 17, 2018
Bagozzi, Benjamin; Brandt, Patrick; Freeman, John; Holmes, Jennifer; Kim, Alisha; Mendizabal, Agustin Palao; Potz-Nielsen, Carly, 2018, "Replication Data for: The Prevalence and Severity of Underreporting Bias in Machine and Human Coded Data", doi:10.7910/DVN/CFCZ2L, Harvard Dataverse, V1
Textual data are plagued by underreporting bias. For example, news sources often fail to report human rights violations. Cook et al. (2017) propose a multi-source estimator to gauge, and to account for, the underreporting of state repression events within human codings of news te...
Jan 8, 2018
Lindenfors, Patrik, 2018, "Replication Data for Investigating Sequences in Ordinal Data: A New Approach with Adapted Evolutionary Models", doi:10.7910/DVN/VJLWTZ, Harvard Dataverse, V1, UNF:6:ttZwxZzfLA6bMjUNuXinow==
This paper presents a new approach for studying temporal sequences across ordinal variables. It involves three complementary methodologies (frequency tables, transitional graphs, and dependency tables), as well as an established adaptation based on Bayesian dynamical systems, inf...
Dec 31, 2017
Alexiadou , Despina , 2017, "Replication Data for Platforms, Portfolios, Policy: How Audience Costs Affect Social Welfare Policy in Multiparty Cabinets", doi:10.7910/DVN/ULCSUG, Harvard Dataverse, V1, UNF:6:AScXxgJQJJOQMT9ynQWa0A==
When and why do electoral commitments enhance parties’ ability to implement their preferred policy in multiparty governments? We propose an audience costs theory whereby strong platform commitments enhance parties’ negotiating positions in multiparty cabinets but only when they a...
Dec 30, 2017
McCarty, Nolan; Rodden, Jonathan; Shor, Boris; Tausanovitch, Chris; Warshaw, Christopher, 2017, "Geography, Uncertainty, and Polarization", doi:10.7910/DVN/Z7H44N, Harvard Dataverse, V1, UNF:6:zKb+u7qu0mKkvIMCjHuFHw==
Using new data on roll-call voting of U.S. state legislators and public opinion in their districts, we explain how ideological polarization of voters within districts can lead to legislative polarization. In so-called “moderate” districts that switch hands between parties, legisl...
Dec 30, 2017
Mummolo, Jonathan, 2017, "Replication Data for: Improving the Interpretation of Fixed Effects Regression Results", doi:10.7910/DVN/RLWSVJ, Harvard Dataverse, V4, UNF:6:2d/TIza9NmOsVORMaYbFNQ==
Fixed effects estimators are frequently used to limit selection bias. For example, it is well-known that with panel data, fixed effects models eliminate time-invariant confounding, estimating an independent variable's effect using only within-unit variation. When researchers inte...
Dec 21, 2017
Pluemper, Thomas; Traunmueller, Richard, 2017, "Replication Data for: The Sensitivity of Sensitivity Analysis", doi:10.7910/DVN/PBEOJZ, Harvard Dataverse, V1
This article evaluates the reliability of sensitivity tests (Leamer 1978). Using Monte Carlo methods we show that, first, the definition of robustness exerts a large influence on the robustness of var¬iables. Second and more importantly, our results also demonstrate that inferenc...
Dec 14, 2017
Nieman, Mark; Thies, Cameron G., 2017, "Replication Data for: Property Rights Regimes, Technological Innovation, and Foreign Direct Investment", doi:10.7910/DVN/P5SZTR, Harvard Dataverse, V1
We argue that democratic institutions influence property rights in attracting foreign direct investment (FDI) by providing: 1) a coherent logic to the property rights regime that is created in a state, and 2) a legitimate way to manage conflicts that arise in dynamic economies. W...
Dec 14, 2017
Sigman, Rachel, 2017, "Replication Data for "Democracy For All: Conceptualizing and Measuring Egalitarian Democracy"", doi:10.7910/DVN/Q0ROYU, Harvard Dataverse, V1, UNF:6:dB2DOSvygQLizktO7KRNDg==
Although equality figures prominently in many foundational theories of democracy, liberal and electoral conceptions of democracy have dominated empirical political science research on topics like political regimes, democratization and democratic survival. This paper develops the...
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