Hostname: page-component-6766d58669-7fx5l Total loading time: 0 Render date: 2026-05-17T22:14:41.930Z Has data issue: false hasContentIssue false

How Do Observers Assess Resolve?

Published online by Cambridge University Press:  13 June 2019

Joshua D Kertzer*
Affiliation:
Department of Government, Harvard University
Jonathan Renshon
Affiliation:
Department of Political Science, University of Wisconsin-Madison
Keren Yarhi-Milo
Affiliation:
Department of Politics, Princeton University
*
*Corresponding author. Email: jkertzer@gov.harvard.edu

Abstract

Despite a plethora of theoretical frameworks, IR scholars have struggled with the question of how observers assess resolve. We make two important contributions in this direction. Conceptually, we develop an integrative framework that unites otherwise disconnected theories, viewing them as a set of heuristics actors use to simplify information-rich environments. Methodologically, we employ a conjoint experiment that provides empirical traction impossible to obtain using alternative research designs. We find that ordinary citizens are ‘intuitive deterrence theorists’ who focus to a great extent on capabilities, stakes, signals and past actions in judging resolve. We also find that observers see democracies as less resolved than autocracies (not more), casting doubt on key propositions of democratic credibility theory. Finally, a conceptual replication shows that a group of elite decision makers converge with the US public in how they interpret costly signals, and in viewing democracies as less resolved than autocracies.

Information

Type
Article
Copyright
Copyright © Cambridge University Press 2019

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Article purchase

Temporarily unavailable

Supplementary material: PDF

Kertzer et al. supplementary material

Appendix

Download Kertzer et al. supplementary material(PDF)
PDF 4.1 MB
Supplementary material: Link

Kertzer et al. Dataset

Link