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301 to 310 of 822 Results
Apr 14, 2025 - UVA Researchers on Harvard Dataverse
Todd S. Sechser; Matthew Fuhrmann, 2025, "Replication Data for: Crisis Bargaining and Nuclear Blackmail", https://doi.org/10.7910/DVN/FZ9CHA
Do nuclear weapons offer coercive advantages in international crisis bargaining? Almost seventy years into the nuclear age, we still lack a complete answer to this question. While scholars have devoted significant attention to questions about nuclear deterrence, we know comparatively little about whether nuclear weapons can help compel states to ch...
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
Friedberg, Leora; Isaac, Elliott, 2025, "Replication Data for: Same-Sex Marriage Recognition and Taxes: New Evidence About the Impact of Household Taxation", https://doi.org/10.7910/DVN/HPLRPE
Friedberg, L., and Isaac, E. (2024). “Same-Sex Marriage Recognition and Taxes: New Evidence about the Impact of Household Taxation.” Review of Economics and Statistics, 106:1, 85–101.
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
Winter, Nicholas, 2025, "CCES 2018, Team Module of University of Virginia", https://doi.org/10.7910/DVN/JWPRQ5, CCES
This dataverse contains the data and supporting documents for the CCES 2018 University of Virginia team module. This project was supported by the National Science Foundation, Grant Number SES-1756447.
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 & Jeffrey Hansen, 2004, "Nosek & Hansen (2008a, 2008b): Attitudes and Knowledge in the Implicit Association Test", https://doi.org/10.7910/DVN/UKQHTV, Brian Nosek
The associations in our heads belong to us: Searching for attitudes and knowledge in implicit evaluation (Cognition & Emotion Abstract) Explicitly, humans can distinguish their own attitudes from evaluations possessed by others. Implicitly, the viability of a distinction between attitudes and evaluative knowledge is less clear. We investigated rela...
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 H.; Banda, Kevin K., 2025, "Replication Data for: Perceived Ideological Distance and Trust in Congress", https://doi.org/10.7910/DVN/MGJBON
Objectives: We evaluate whether citizens’ trust in Congress is influenced by perceptions of ideological distance between themselves and their representatives. We argue that citizens view members as the “face” of Congress, and thus trust the institution more when the face of that institution is more ideologically proximity to themselves. Methods: We...
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
Andrew Menatti; Fred Smyth; Bethany Teachman; Brian Nosek, 2025, "Replication data for: Menatti, Smyth, Teachman, & Nosek (2012): Reducing Stigma Toward Individuals with Mental Illnesses: A Brief, Online Intervention", https://doi.org/10.7910/DVN/ORH2EP
Purpose: Our goal was to determine the effectiveness of a brief online intervention designed to reduce stigma-relevant attitudes toward mentally ill individuals. We examined whether the experience of completing a Brief Implicit Association Test (BIAT) measuring attitudes toward people with mental illnesses alters explicit stigma in two studies. Met...
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
Stewart, Megan, 2025, "Replication Data for: Do Good Borders Make Good Rebels? Territorial Control and Civilian Casualties?", https://doi.org/10.7910/DVN/RTJ38N, The Journal of Politics Dataverse
Replication data and code for "Do Good Borders Make Good Rebels?"
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
Schon, Justin; Leblang, David, 2025, "Replication Data for "Why Physical Barriers Backfire: How Immigration Enforcement Deters Return and Increases Asylum Applications"", https://doi.org/10.7910/DVN/VKM7QO
These files allow the user to replicate results from "Why Physical Barriers Backfire: How Immigration Enforcement Deters Return and Increases Asylum Applications."
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
Pandya, Sonal; Venkatesan, Rajkumar, 2025, "Replication data for: French Roast: Consumer Responses to International Conflict--Evidence from Supermarket Scanner Data", https://doi.org/10.7910/DVN/28943
Pandya, Sonal S., and Venkatesan, Rajkumar, (2016) "French Roast: Consumer Responses to International Conflict--Evidence from Supermarket Scanner Data." Review of Economics and Statistics 98:1, 42-56.
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
Meng, Anne; Paine, Jack, 2025, "Power Sharing and Authoritarian Stability: How Rebel Regimes Solve the Guardianship Dilemma", https://doi.org/10.7910/DVN/8LQZW9
Regimes founded in rebellion are, typically, extremely durable. We propose that this stabil- ity is founded upon peaceful power sharing between the rebel regime leader and military elites. Amid long and intense fighting, rebel leaders must delegate control to top military commanders because doing so helps them to win battles. After seizing power, p...
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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