This website is a dataverse for GOV 2020, previously Gov 2001/Stat E200: Advanced Quantitative Research Methodology (Gary King). Here you can find replication archives for Gov 2020 and 2001 final papers, past and current. Students currently enrolled in Gov 2020 should use this Dataverse page to upload their replication archives for their replication papers.
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1 to 10 of 191 Results
Family History Matters: Immigration Stories Moderate Policy Opinions
Family History Matters: Immigration Stories Moderate Policy Opinions
Dec 2, 2024
Lee, Jiyeon; Craig, Mary Soledad, 2024, "Family History Matters: Immigration Stories Moderate Policy Opinions", https://doi.org/10.7910/DVN/L1PWKB, Harvard Dataverse, V1
Replication data for "Family History Matters: Immigration Stories Moderate Policy Opinions", created as an extension to "Family Matters: How Immigrant Histories Can Promote Inclusion.” (2021), by Scott Williamson, Claire L. Adida, Adeline Lo, Melina R. Platas, Lauren Prather, and Seth H. Werfel.
Replication Data for: No Party for Women? Unequal Policy Responsiveness by Gender Under Democratic and Republican Control
Dec 2, 2024
Vazquez, Christopher, 2024, "Replication Data for: No Party for Women? Unequal Policy Responsiveness by Gender Under Democratic and Republican Control", https://doi.org/10.7910/DVN/LIO4BO, Harvard Dataverse, V1, UNF:6:12wEXtMiSs5/0go8E4UD4A== [fileUNF]
This is our replication paper for Gov2020 (2024). Produced by Nicholas Conroy, Janae Jackson, and Chris Vazquez.
Replication Data for: Armani & Hvidkjaer - The Populist Label: Derision or Description?
Dec 2, 2024
Fischer Armani, Gabriela; Sabatier Hvidkjaer, Marc, 2024, "Replication Data for: Armani & Hvidkjaer - The Populist Label: Derision or Description?", https://doi.org/10.7910/DVN/MYIGFQ, Harvard Dataverse, V1
Replication Data for: Armani & Hvidkjaer - The Populist Label: Derision or Description? Gov2020 Project, 2024.
Replication Data for: Firing Up The Ranks (How Combat Experience Decreases the Odds of Military Promotion in Revolutionary Autocratic Regimes)
Dec 2, 2024
Cerny, Michael, 2024, "Replication Data for: Firing Up The Ranks (How Combat Experience Decreases the Odds of Military Promotion in Revolutionary Autocratic Regimes)", https://doi.org/10.7910/DVN/7PSOSP, Harvard Dataverse, V1
Conventional wisdom holds that leaders should promote experienced military personnel to ensure their national security. Yet, the literature on authoritarian regimes suggests that autocrats are often as concerned with loyalty as they are capability. We explore this dynamic in the context of revolutionary autocratic militaries, arguing that revolutio...
Replication Data for The Democratic Party's Electoral Advantage After Natural Disasters and Mass Shootings: Evidence from US Presidential Elections, 1980 to 2016
Dec 2, 2024
Wicaksono, Nicolas; Patel, Nidhi; Aboge, David, 2024, "Replication Data for The Democratic Party's Electoral Advantage After Natural Disasters and Mass Shootings: Evidence from US Presidential Elections, 1980 to 2016", https://doi.org/10.7910/DVN/UWFVWM, Harvard Dataverse, V1
Replication files for GOV2020 paper, "The Democratic Party's Electoral Advantage After Natural Disasters and Mass Shootings: Evidence from US Presidential Elections, 1980 to 2016".
Replication Data for Firing Up the Ranks: How Combat Experience Decreases the Odds of Military Promotion in Revolutionary Autocratic Regimes
Dec 2, 2024
Koo, John N. L.; Cerny, Michael B.; Henderson, Joshua, 2024, "Replication Data for Firing Up the Ranks: How Combat Experience Decreases the Odds of Military Promotion in Revolutionary Autocratic Regimes", https://doi.org/10.7910/DVN/AXWOCM, Harvard Dataverse, V1
Replication Data for Firing Up the Ranks: How Combat Experience Decreases the Odds of Military Promotion in Revolutionary Autocratic Regimes
Replication Data for: Picking on the Little Guy: Ethnic Composition and Civil Conflict Outbreak
Replication Data for: Picking on the Little Guy: Ethnic Composition and Civil Conflict Outbreak
Dec 17, 2022
Biondi, Sima; Sethy, Priyanka; Ayers, Natalie, 2022, "Replication Data for: Picking on the Little Guy: Ethnic Composition and Civil Conflict Outbreak", https://doi.org/10.7910/DVN/MWNBY4, Harvard Dataverse, V2, UNF:6:Thmxes+R6GIdu2uVjShptg== [fileUNF]
Replication data for "Picking on the Little Guy: Ethnic Composition and Civil Conflict Outbreak", created as an extension to "Redemption through Rebellion: Border Change, Lost Unity, and Nationalist Conflict.” (2022), by Lars-Erik Cederman, Seraina Rüegger, and Guy Schvitz. (2022-12-10)
Replication Data for: The Partisanship of Bipartisanship: How Representatives Use Bipartisan Assertions to Cultivate Support
Dec 16, 2022
Shi, Davin; Gasper, Kinara; Dick, Logan, 2022, "Replication Data for: The Partisanship of Bipartisanship: How Representatives Use Bipartisan Assertions to Cultivate Support", https://doi.org/10.7910/DVN/LJQAII, Harvard Dataverse, V2, UNF:6:qnrQ/IWIqdnBFn+6t0K0jA== [fileUNF]
Data required to replicate tables in: Westwood, S.J. The Partisanship of Bipartisanship: How Representatives Use Bipartisan Assertions to Cultivate Support. Polit Behav 44, 1411–1435 (2022). https://doi.org/10.1007/s11109-020-09659-6.
Replication Paper: Medicaid Expansion and Policy Feedback
Replication Paper: Medicaid Expansion and Policy Feedback
Dec 11, 2022
Jolin, James; Kavanagh, Nolan, 2022, "Replication Paper: Medicaid Expansion and Policy Feedback", https://doi.org/10.7910/DVN/LW4PCD, Harvard Dataverse, V2
GOV 2001 Replication Paper Assignment script file and data.
What About Race: Accountability in the US Congress
Dec 10, 2022
Misra, Kiran; Connaughton, Aidan; Sandmann, Jan-Paul; Wilson, Julius, 2022, "What About Race: Accountability in the US Congress", https://doi.org/10.7910/DVN/8KLJ8K, Harvard Dataverse, V3, UNF:6:HXUEbsefCCoCvVe6pjO+Yw== [fileUNF]
Replication files for the What About Race: Accountability in the US Congress
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