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241 to 250 of 781 Results
Apr 14, 2025 - UVA Researchers on Harvard Dataverse
Meng, Anne, 2025, "Winning the Game of Thrones: Leadership Succession in Modern Autocracies", https://doi.org/10.7910/DVN/YSCYIH
Under what conditions can dictatorships manage peaceful leadership transitions? This article argues that constitutional succession rules are critical for modern dictatorships, contrary to the predominant scholarly focus on hereditary succession or parties. An effective succession rule needs to solve dual problems of peaceful exit and peaceful entry...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Apr 14, 2025 - UVA Researchers on Harvard Dataverse
Smith, Benjamin; David Waldner, 2025, "Survivorship Bias in Comparative Politics: Endogenous Sovereignty and the Resource Curse", https://doi.org/10.7910/DVN/ZU3K7H
Cross-national statistical research based on “all country” data sets involves no deliberate selection and hence ignores the potential for endogenous selection bias. We show that these designs are prone to selection bias if existing units are subject to differential survival rates induced, in part, by treatment. Using rudimentary graph theory, we pr...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Apr 14, 2025 - UVA Researchers on Harvard Dataverse
Lawless, Jennifer, 2025, "Replication Data for The Invincible Gender Gap in Political Ambition", https://doi.org/10.7910/DVN/KO3FID
Abstract: When we uncovered a large gender gap in political ambition in the early 2000s, our research highlighted how far the U.S. was from gender parity in politics. Given marked increases in women’s numeric representation throughout the last two decades, many might expect the gender gap in political ambition to have begun to close. Results from o...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Apr 14, 2025 - UVA Researchers on Harvard Dataverse
Scholten, Melle; Leblang, David, 2025, "Replication Data for: Land/Labor Ratios, Citizenship, and Migrants: Exploring the Hidden Links in the Political Economy of Immigration Regimes", https://doi.org/10.7910/DVN/R1AB1Z
Here you can find the replication data and Stata .do file for "Land/Labor Ratios, Citizenship, and Migrants" by Scholten & Leblang (2023) in World Politics. Please contact the corresponding author for further enquiries.
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Apr 14, 2025 - UVA Researchers on Harvard Dataverse
Kruks-Wisner, Gabrielle; Auerbach, Adam, 2025, "Replication Data for: The Geography of Citizenship Practice: How the Poor Engage the State in Rural and Urban India", https://doi.org/10.7910/DVN/0NDRHU
Replication data and code for "The Geography of Citizenship Practice: How the Poor Engage the State in Rural and Urban India."
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Apr 14, 2025 - UVA Researchers on Harvard Dataverse
Claibourn, Michele, 2025, "Making a Connection", https://doi.org/10.7910/DVN/4CZEJR
Replication data for: Michele P. Claibourn. 2008. "Making a Connection: Repetition in Campaigns and the Development of Candidate-Issue Connections." Journal of Politics 70(4): 1142-1159. 1. connection_analysis.do estimates the models presented in Tables 1-4 (calls survey_ads_2000v2.dta, and hetreg.sta) 2. survey_ads_2000v2.do creates/recodes variab...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Apr 14, 2025 - UVA Researchers on Harvard Dataverse
Brian Nosek, 2012, "Nosek, Bar-Anan, Sriram & Greenwald (2012): Understanding and Using the Brief Implicit Association Test: I. Recommended Scoring Procedures", https://doi.org/10.7910/DVN/8ZOOCY
Sriram and Greenwald (2009) introduced a Brief version of the Implicit Association Test (BIAT). The present research identified analytical best practices for overall psychometric performance of the BIAT. In 7 studies and multiple replications, we investigated analytic practices with several evaluation criteria: sensitivity to detecting known effect...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Apr 14, 2025 - UVA Researchers on Harvard Dataverse
Sechser, Todd S.; Saunders, Elizabeth N., 2025, "The Army You Have: The Determinants of Military Mechanization, 1979–2001", https://doi.org/10.7910/DVN/HFIJ07
Recent research suggests that a crucial factor in understanding the outcomes of military conflicts is the extent to which militaries are mechanized—that is, their relative dependence on tanks and armored vehicles compared to manpower. Since World War II, militaries have become increasingly mechanized both among the great powers and in unexpected qu...
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Apr 14, 2025 - UVA Researchers on Harvard Dataverse
Kirkland, Justin, 2025, "CES 2020, Team Module of University of Virginia (UVA)", https://doi.org/10.7910/DVN/KSOKGV, CCES
This dataverse contains the data and supporting documents for the CES 2020 Team Module of the University of Virginia. This project was supported by the National Science Foundation, Grant Number SES-1948863.
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
Apr 14, 2025 - UVA Researchers on Harvard Dataverse
Brian Kal Munis, 2025, "Replication Data for: Us Over Here Versus Them Over There...Literally: Measuring Place Resentment in American Politics", https://doi.org/10.7910/DVN/LZQHTK
This page includes all replication data and code associated with "Us Over Here Versus Them Over There...Literally: Measuring Place Resentment in American Politics."
This Dataset is harvested from our partners. Clicking the link will take you directly to the archival source of the data.
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