Replication data for: Network Dynamics and the Evolution of International Cooperation (doi:10.7910/DVN/23714)

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Document Description

Citation

Title:

Replication data for: Network Dynamics and the Evolution of International Cooperation

Identification Number:

doi:10.7910/DVN/23714

Distributor:

Harvard Dataverse

Date of Distribution:

2013-12-04

Version:

4

Bibliographic Citation:

Kinne, Brandon J, 2013, "Replication data for: Network Dynamics and the Evolution of International Cooperation", https://doi.org/10.7910/DVN/23714, Harvard Dataverse, V4

Study Description

Citation

Title:

Replication data for: Network Dynamics and the Evolution of International Cooperation

Identification Number:

doi:10.7910/DVN/23714

Authoring Entity:

Kinne, Brandon J (The University of Texas at Dallas)

Producer:

Kinne, Brandon J

Date of Production:

2013

Distributor:

Harvard Dataverse

Distributor:

Harvard Dataverse Network

Access Authority:

Kinne, Brandon J

Date of Deposit:

2013

Date of Distribution:

2013

Holdings Information:

https://doi.org/10.7910/DVN/23714

Study Scope

Keywords:

international cooperation, social network analysis, stochastic actor oriented models, international bargaining, international institutions

Abstract:

Cooperation helps states realize mutual gains, but mistrust and disagreements over institutional design inhibit cooperation. This article develops a network explanation for how states achieve cooperation in the face of persistent coordination and collaboration problems. The analysis focuses on bilateral cooperation agreements, a vast body of treaties spanning multiple issue areas. Bilateral agreements constitute an evolving network of cooperative ties. This network defines the strategic environment in which states bargain over new agreements, endogenously influencing subsequent bilateral endeavors by revealing strategically valuable information about states’ trustworthiness and preferences over institutional design, while also generating externalities that incentivize bilateral partnerships. Inferential network analysis shows that states are more likely to create bilateral agreements if they (1) share agreements with common third parties, (2) accede to more agreements in general, and/or (3) share important exogenous characteristics with current bilateral partners. These net work dynamics drive bilateral cooperation in everything from commodities to cultural exchange to fisheries.

Methodology and Processing

Sources Statement

Data Access

Notes:

<a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0</a>

Other Study Description Materials

Related Publications

Citation

Title:

Kinne, Brandon J. 2013. "Network Dynamics and the Evolution of International Cooperation," in American Political Science Review 107(4): 766-785.

Identification Number:

10.1017/S0003055413000440

Bibliographic Citation:

Kinne, Brandon J. 2013. "Network Dynamics and the Evolution of International Cooperation," in American Political Science Review 107(4): 766-785.

Other Study-Related Materials

Label:

APSR-Replication-12232013.zip

Text:

Notes:

application/zip