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11 to 20 of 242 Results
May 7, 2025
Justwan, Florian; Berejikian, Jeffrey; Mazdeyasnan, Shawn, 2025, "Replication Data for Deserving Special Treatment? The Effect of Psychological Entitlement on Support for International Law", https://doi.org/10.7910/DVN/E0GD3U, Harvard Dataverse, V1, UNF:6:qbz+gDcLJjIp4a0EosKQdA== [fileUNF]
Replication data for empirical analysis in: "Deserving Special Treatment? The Effect of Psychological Entitlement on Support for International Law"
May 7, 2025
Kantorowicz, Jaroslaw; Klein, Graig R; Alparone, Diletta, 2025, "Replication Data for: "Comparative Public Attitudes About Drone Strikes: Survey Experiments in Italy, Poland, and Germany"", https://doi.org/10.7910/DVN/LZXHNU, Harvard Dataverse, V1, UNF:6:AN1MVjPpdYGQaDGwKfI39Q== [fileUNF]
Replication files for "Comparative Public Attitudes About Drone Strikes: Survey Experiments in Italy, Poland, and Germany", including the dataset, the script, the log file.
May 7, 2025
Lee, Hoon, 2025, "Replication Data for Economic Sanctions and Sovereign Bond Ratings in the Developing World", https://doi.org/10.7910/DVN/3UVASF, Harvard Dataverse, V1, UNF:6:Es5VacLIfUkMiQrlkYHsAw== [fileUNF]
Data and Do-File for the manuscript "Economic Sanctions and Sovereign Bond Ratings in the Developing World"
May 7, 2025
LaSpisa, Chase; Sara McLaughlin Mitchell, 2025, "Replication Data for: Testing the Waters: Exploring Why Democracies Have More Maritime Conflict", https://doi.org/10.7910/DVN/F6CGW4, Harvard Dataverse, V1
This page includes the replication files for Testing the Waters: Exploring Why Democracies Have More Maritime Conflict coauthored by Chase LaSpisa and Sara McLaughlin Mitchell. The files are from Stata 17 and include a dta file and a do file. These files should run completely once loaded and will replicate the results found in the main manuscript a...
Feb 4, 2025
Cho, Esol, 2025, "Replication Data for: "Domestic Groups’ Testimonies at US Foreign Aid Hearings from 1980 to 2020: Findings from a New Dataset"", https://doi.org/10.7910/DVN/SCOKXE, Harvard Dataverse, V1, UNF:6:um8XwjpAd87W2jQp1QbSyQ== [fileUNF]
This repository contains the data and replication code for the analysis presented in the paper entitled "Domestic Groups' Testimonies at US Foreign Aid Hearings from 1980 to 2020: Findings from a New Dataset."
Feb 4, 2025
Huber, Laura, 2025, "Replication Data for: Public Perceptions of Women Peacekeepers in Troop Contributing Countries", https://doi.org/10.7910/DVN/M9WGFD, Harvard Dataverse, V1, UNF:6:d+qxBQQnGILwtNNDnQzl1w== [fileUNF]
These are the replication files, data, and log for the article "Public Perceptions of Women Peacekeepers in Troop Contributing Countries"
Feb 4, 2025
Li, Yinlong, 2025, "Replication Data for: "A Pact With The Devil: The Madman Theory and Nonaggression Pacts"", https://doi.org/10.7910/DVN/LKXVD7, Harvard Dataverse, V1, UNF:6:/K5JhpP7yqvg6vTflZEl8g== [fileUNF]
Replication Data for: "A Pact With The Devil: The Madman Theory and Nonaggression Pacts"
Feb 4, 2025
Villegas Cruz, Angel Manuel, 2025, "Replication Data for: Communicating state repression to the international community: A case study of how China frames its policies in Xinjiang online", https://doi.org/10.7910/DVN/CDM59A, Harvard Dataverse, V1
All replication code and data for the FPA paper. Questions: please get in touch with amv5718@psu.edu or angel.villegas.upr@gmail.com
Feb 4, 2025
Lee, Chia-yi, 2025, "Replication data for "Support from Above: International Organizations, Summits, and Leader Survival"", https://doi.org/10.7910/DVN/C8O5VM, Harvard Dataverse, V1, UNF:6:DCvGq9uyrqA16o+KTTMyBQ== [fileUNF]
While existing literature indicates a variety of political consequences caused by IO membership, little attention has been paid to IOs’ impact on leaders. This article argues that IO membership has a positive effect on leader survival through two major mechanisms: IOs carrying information and IOs raising national well-being. The beneficial effect o...
Dec 6, 2024
Selden, Zachary, 2024, "Replication Data for Elite Perceptions in the US and PRC of Artificial Intelligence in Military Affairs", https://doi.org/10.7910/DVN/27TPA1, Harvard Dataverse, V1
Source data and spreadsheets for graphs of content analysis of 400 statements by Chinese and US officials about the use of AI in military affairs categorized by offensive or defensive nature.
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