|
View: |
Part 1: Document Description
|
|
Citation |
|
|---|---|
|
Title: |
Replication Data for: Anger Expressions and Coercive Credibility in International Crises |
|
Identification Number: |
doi:10.7910/DVN/87TSER |
|
Distributor: |
Harvard Dataverse |
|
Date of Distribution: |
2024-11-13 |
|
Version: |
1 |
|
Bibliographic Citation: |
Yoon, Hohyun, 2024, "Replication Data for: Anger Expressions and Coercive Credibility in International Crises", https://doi.org/10.7910/DVN/87TSER, Harvard Dataverse, V1 |
|
Citation |
|
|
Title: |
Replication Data for: Anger Expressions and Coercive Credibility in International Crises |
|
Identification Number: |
doi:10.7910/DVN/87TSER |
|
Authoring Entity: |
Yoon, Hohyun (University of Pennsylvania) |
|
Producer: |
Yoon, Hohyun |
|
Distributor: |
Harvard Dataverse |
|
Access Authority: |
Yoon, Hohyun |
|
Depositor: |
Yoon, Hohyun |
|
Date of Deposit: |
2024-09-22 |
|
Holdings Information: |
https://doi.org/10.7910/DVN/87TSER |
|
Study Scope |
|
|
Keywords: |
Social Sciences, credibility, threat, crisis bargaining, emotion, experiment, text data |
|
Abstract: |
Why are some threats more credible than others? I argue that leaders’ anger expressions are a previously underappreciated source of coercive credibility. Specifically, leaders who express anger appear more credible because targets believe they are less sensitive to the costs of conflict. I test this argument through quantitative analysis of a novel dataset of world leaders’ public statement in crises from 1946-1996 and a U.S.-based survey experiment designed to test the mechanism. The observational evidence reveals that anger expressions increase the likelihood a threat will succeed. The experiment shows that anger expressions cause targets to infer greater resolve and that non-angry threats carry little credibility—and might even backfire. These findings not only shed light on a unique source of threat credibility but also highlight the crucial role of emotions in international relations with new data measuring political leaders’ emotional expressions over time and space. |
|
Notes: |
This dataset underwent an independent verification process, complying with the AJPS Verification Policy updated June 2023, which replicated the tables and figures in the primary article. For the supplementary materials, verification was performed solely for the successful execution of the code. The verification process was carried out by the Cornell Center for Social Sciences at Cornell University. <br></br> The associated article has been awarded the Open Materials Badge. Learn more about the Open Practice Badges from the <a href="https://www.cos.io/">Center for Open Science</a>. <br></br> <img src="https://socialsciences.cornell.edu/sites/default/files/2024-04/materials_large_color.png" alt="Open Materials Badge " width="60" height="60"> <br></br> Open Materials Badge |
|
Methodology and Processing |
|
|
Sources Statement |
|
|
Data Sources: |
Original data sources (Study 1): <br></br> Brecher, Michael, and Jonathan Wilkenfeld. 1997. A Study of Crisis. University of Michigan Press. <br></br> Coppedge, Michael, John Gerring, Carl Henrik Knutsen, Staffan I. Lindberg, Jan Teorell, David Altman, Michael Bernhard, Agnes Cornell, M. Steven Fish, Lisa Gastaldi, Haakon Gjerløw, Adam Glynn, Ana Good God, Sandra Grahn, Allen Hicken, Katrin Kinzelbach, Joshua Krusell, Kyle L. Marquardt, Kelly McMann, Valeriya Mechkova, Juraj Medzihorsky, Natalia Natsika, Anja Neundorf, Pamela Paxton, Daniel Pemstein, Josefine Pernes, Oskar Ryd ́en, Johannes von R ̈omer, Brigitte Seim, Rachel Sigman, Svend-Erik Skaaning, Jeffrey Staton, Aksel Sund- str ̈om, Eitan Tzelgov, Yi-ting Wang, Tore Wig, Steven Wilson and Daniel Ziblatt. 2023. "V-Dem [Country-Year/Country-Date] Dataset v13" Varieties of Democracy (V-Dem) Project. https://doi.org/10.23696/vdemds23. <br></br> Chiba, Daina, Jesse C Johnson, and Brett Ashley Leeds. 2015. "Careful Commitments: Democratic States and Alliance Design." The Journal of Politics 77 (4): 968–982. <br></br> Geddes, Barbara, Joseph Wright and Erica Frantz. 2014. "Autocratic Breakdown and Regime Transitions: A New Data Set." Perspectives on Politics 12(2): 313-331." <br></br> Goemans, Henk E, Kristian Skrede Gleditsch, and Giacomo Chiozza. 2009. “Introducing Archigos: A Dataset of Political Leaders.” Journal of Peace Research 46 (2): 269–283. <br></br> Magaloni, Beatriz, Jonathan Chu, and Eric Min. 2013. Autocracies of the World, 1950-2012 (Version 1.0). Dataset, Stanford University. |
|
Data Access |
|
|
Disclaimer: |
The <i>American Journal of Political Science</i> and the Cornell Center for Social Sciences are not responsible for the accuracy or quality of data uploaded within the <i>AJPS</i> Dataverse, for the use of those data, or for interpretations or conclusions based on their use. |
|
Other Study Description Materials |
|
|
Label: |
angerExpressCodebook.pdf |
|
Notes: |
application/pdf |
|
Label: |
angerExpressStudy1Analysis.R |
|
Notes: |
type/x-r-syntax |
|
Label: |
angerExpressStudy2Analysis.R |
|
Notes: |
type/x-r-syntax |
|
Label: |
datExp.rds |
|
Notes: |
application/gzip |
|
Label: |
datObs.rds |
|
Notes: |
application/gzip |
|
Label: |
readme.txt |
|
Notes: |
text/plain |
|
Label: |
X.rds |
|
Notes: |
application/gzip |
|
Label: |
XI.rds |
|
Notes: |
application/gzip |
|
Label: |
XR.rds |
|
Notes: |
application/gzip |