International Organization (IO) is a leading peer-reviewed journal that covers the entire field of international affairs. The journal is continuously ranked among the top journals in the field.
Featured Dataverses

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

2,851 to 2,860 of 2,872 Results
FHN_IO_replication.tab
Jan 28, 2019 - Replication Data for: Protection Through Presence: UN Peacekeeping and the Costs of Targeting Civilians
Tabular Data - 93.5 MB - 97 Variables, 217823 Observations - UNF:6:u/EWLbsYg54lLMmyyWka6A==
Replication Data for: Until the Bitter End? The Diffusion of Surrender Across Battles
Jan 28, 2019
Lehmann, Todd C.; Zhukov, Yuri M., 2019, "Replication Data for: Until the Bitter End? The Diffusion of Surrender Across Battles", https://doi.org/10.7910/DVN/S3K4RH, Harvard Dataverse, V1, UNF:6:tMoqtHP9N35hF3yyHsUWIg== [fileUNF]
Why do armies sometimes surrender to the enemy and sometimes fight to the bitter end? Existing research has highlighted the importance of battlefield resolve for the onset, conduct, and outcome of war, but has left these life-and-death decisions mostly unexplained. We know little about why battle-level surrender occurs, and why it stops. In this pa...
battles_IO.tab
Jan 28, 2019 - Replication Data for: Until the Bitter End? The Diffusion of Surrender Across Battles
Tabular Data - 916.2 KB - 109 Variables, 1723 Observations - UNF:6:VC+5Zo861ef+VMC8yXDzIQ==
data_IO.RData
Jan 28, 2019 - Replication Data for: Until the Bitter End? The Diffusion of Surrender Across Battles
R Data - 2.0 MB - MD5: f9a987eaf0117eeca024b2b1fbc16101
functions.R
Jan 28, 2019 - Replication Data for: Until the Bitter End? The Diffusion of Surrender Across Battles
R Syntax - 19.9 KB - MD5: a0f85903135497c6602ea758e5f714d8
polygons_IO.RData
Jan 28, 2019 - Replication Data for: Until the Bitter End? The Diffusion of Surrender Across Battles
R Data - 72.5 KB - MD5: 7aac229c3e81d29bc81933c7c84469cd
repcode_IO.R
Jan 28, 2019 - Replication Data for: Until the Bitter End? The Diffusion of Surrender Across Battles
R Syntax - 56.1 KB - MD5: 66cdb2113ea31b6cc80bc5a9ff1f3d31
RobustCheck_DiscountRate.tab
Jan 28, 2019 - Replication Data for: Until the Bitter End? The Diffusion of Surrender Across Battles
Tabular Data - 216.1 KB - 13 Variables, 1000 Observations - UNF:6:6QvNaXr5+LMN/+Tu5WMViw==
Replication Data for: A Two-Stage Approach to Civil Conflict: Contested Incompatibilities and Armed Violence
Jan 28, 2019
Bartusevičius, Henrikas; Gleditsch, Kristian Skrede, 2019, "Replication Data for: A Two-Stage Approach to Civil Conflict: Contested Incompatibilities and Armed Violence", https://doi.org/10.7910/DVN/ZGM9HF, Harvard Dataverse, V1, UNF:6:G4JHTWVX2I/8irWyKig1ew== [fileUNF]
We present a two-stage approach to civil conflict analysis. Unlike conventional approaches that focus only on armed conflict and treat all other cases as “at peace,” we first distinguish cases with and without contested incompatibilities (Stage 1) and then whether or not contested incompatibilities escalate to armed conflict (Stage 2). This allows...
BCG_squarepegs.tab
Jan 28, 2019 - Replication Data for: A Two-Stage Approach to Civil Conflict: Contested Incompatibilities and Armed Violence
Tabular Data - 16.7 MB - 436 Variables, 9139 Observations - UNF:6:Q1nFMs8ZeOCdbxJLG82NAA==
Add Data

Sign up or log in to create a dataverse or add a dataset.

Sign Up Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.