Using Sequences to Model Crises
Gretchen Casper and
Matthew Wilson
Political Science Research and Methods, 2015, vol. 3, issue 2, 381-397
Abstract:
The logic of historical explanation obliges one to understand temporality as a moderator of various effects on political outcomes. Temporal problems remain in the empirical analysis of political phenomena, however, especially as it pertains to categorical data and long-term time dependence. Many theories in political science assert that sequencing matters or that political outcomes are path dependent, but they remain untested (or improperly tested) assertions for which sequence analysis may be valuable. This article briefly reviews the disciplinary origins of sequence analysis and applies the method in order to understand bargaining between actors during national crises. Finally, it explores the robustness of a commonly used sequence analysis metric. The ability to demonstrate and separate sequential effects from accumulative effects—made possible through sequence analysis—constitutes a major step in political science toward analyses that are truly time sensitive.
Date: 2015
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.cambridge.org/core/product/identifier/ ... type/journal_article link to article abstract page (text/html)
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:cup:pscirm:v:3:y:2015:i:2:p:381-397_12
Access Statistics for this article
More articles in Political Science Research and Methods from Cambridge University Press Cambridge University Press, UPH, Shaftesbury Road, Cambridge CB2 8BS UK.
Bibliographic data for series maintained by Kirk Stebbing ().