EconPapers    
Economics at your fingertips  
 

Explaining destinations and volumes of international arms transfers: A novel network Heckman selection model

Oliver Pamp, Michael Lebacher, Paul W. Thurner and Eva Ziegler

European Journal of Political Economy, 2021, vol. 69, issue C

Abstract: What determines the volumes of international weapon transfers? And why do countries establish such arms trading relationships in the first place? We propose an innovative statistical strategy that builds on the gravity approach and combines a Heckman model with a network analysis. This allows us, for the first time, to analyze the impact of network structures on both the extensive and the intensive margins of the international arms trade simultaneously. We argue that the structure of the arms transfer network conveys important information for exporting and importing countries. Therefore, past topological properties of the trade network play a central role in its future evolution. Using data on the trade of major conventional weapons between 1955 and 2018, our estimation results and out-of-sample predictions show that network structures have considerable explanatory power with respect to the creation of trade links. They are far less relevant for the explanation of trade volumes, which are mainly determined by demand factors.

Keywords: Arms trade; Network analysis; Heckman; Gravity equation; Maximum likelihood (search for similar items in EconPapers)
JEL-codes: C34 C53 F14 F50 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0176268021000343
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:poleco:v:69:y:2021:i:c:s0176268021000343

DOI: 10.1016/j.ejpoleco.2021.102033

Access Statistics for this article

European Journal of Political Economy is currently edited by J. De Haan, A. L. Hillman and H. W. Ursprung

More articles in European Journal of Political Economy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:poleco:v:69:y:2021:i:c:s0176268021000343