10,051 to 10,060 of 10,121 Results
Jan 5, 2024 - American Journal of Political Science (AJPS) Dataverse
Scheve, Kenneth; Serlin, Theo, 2024, "Replication Data for: Trains, Trade, and Transformation: A Spatial Rogowski Theory of America's 19th Century Protectionism", https://doi.org/10.7910/DVN/PLKWUL, Harvard Dataverse, V1, UNF:6:mW5zZPV8FL1/beKD96urTQ== [fileUNF]
We study the effect of expanding trade on societal coalitions through its impact on development. We combine a majoritarian political model with a spatial model of trade to argue that trade-induced economic change---by bringing new workers to locations closer to world markets---can lead to losses rather than gains in political power for the factors... |
Jan 5, 2024
Truong, Mai, 2024, "Replication Data for: The “Ironic Impact” of Pro-democracy Activists: How Pro-democratic Frames Undermine Support for Local Policy-Based Protests in Authoritarian Regimes", https://doi.org/10.7910/DVN/QN8SR4, Harvard Dataverse, V1, UNF:6:WsTaSIlxas6b7fx/P0Cj1w== [fileUNF]
Many protesters under authoritarian rule are “narrow in scope, involving only one or a few neighborhoods, villages, or groups of laid-off workers” and focus on demands that “have to do only with material interests and local grievances” (Lorentzen, 2013, p.131). These protests typically blame local authorities and express loyalty to the political sy... |
Jan 5, 2024
Sullivan, Heather, 2024, "Replication Data for: When Elites Concede: State Capacity and the Management of Protest in Mexico", https://doi.org/10.7910/DVN/Q0B5YG, Harvard Dataverse, V1, UNF:6:fgDslzvKcSOapbrjUHrT2w== [fileUNF]
Replication Data for: When Elites Concede: State Capacity and the Management of Protest in Mexico |
Jan 5, 2024 - AEA RCT Registry Dataverse
AEA RCT Registry, 2024, "Registrations in the AEA RCT Registry (2013-05-15 through 2024-01-01)", https://doi.org/10.7910/DVN/HPYPGH, Harvard Dataverse, V2, UNF:6:5VdNBeOUQ/1wuQY8CSmp1Q== [fileUNF]
This dataset contains publicly available data on the American Economic Association's RCT registry downloaded 2024-01-01 |
Jan 5, 2024
Ribeiro, Tânia; Veloso, Ana Isabel; Brinson, Peter, 2024, "Exploring the variables of Empathy in Gamers: a Survey validation", https://doi.org/10.7910/DVN/5MMMBU, Harvard Dataverse, V1
This data reports an inductively structured survey's design, validation, and spread strategy created to better understand the design contours responsible for creating an empathetic relationship between Gamers and Playable Characters in Digital Games. The survey is structured inductively and aims to address the following research questions: Which ps... |
Jan 5, 2024
Van Zyl, Michiel, 2024, "Replication Data for USA and SA Social Connectedness and Controversial Topics Survey", https://doi.org/10.7910/DVN/SQ5CAH, Harvard Dataverse, V1, UNF:6:/jLf4jpj3YJQjM/LLjHqdg== [fileUNF]
This data is from a study focused on the perceived impact of controversial issues in society on social connectedness in the United States and South Africa. An online survey was used to collect perceptions on perceived impact. |
Jan 5, 2024
Saaka, Sulemana, 2024, "Replicate data for "Child Malaria Vaccine Uptake in Ghana: Factors Influencing parents’ willingness to allow vaccination of their children under five (5) years"", https://doi.org/10.7910/DVN/6HND7Y, Harvard Dataverse, V1
This dataset is deposited to meet the publishing requirement for a journal article, to facilitate public access and reproducibility of the study findings. |
Jan 5, 2024
Tuyihimbaze Serge, 2024, "Replication Data for: Short formulae for polynomials", https://doi.org/10.7910/DVN/UD3BSS, Harvard Dataverse, V2
The sequence data that support the findings of short formulae for polynomials |
Jan 5, 2024
Kolly, Florian; De Groot, Barbara, 2024, "NMF2.0-social", https://doi.org/10.7910/DVN/MTMUDI, Harvard Dataverse, V4
This Dataset contains the training data and trained models used in the semester project NMF2.0-social, a multi-fly social extension of NeuroMechFly2.0. |
Jan 5, 2024
Martins, Christina, 2024, "Martins et al, 2024", https://doi.org/10.7910/DVN/XXJTKY, Harvard Dataverse, V1
Raw data |