Nonparametric Model Discrimination in International Relations

Kevin A. Clarke
Additional contact information
Kevin A. Clarke: Department of Political Science University of Rochester

Journal of Conflict Resolution, 2003, vol. 47, issue 1, 72-93

Abstract: This study introduces a simple nonparametric test for the relative discrimination of models in international relations research. The common parametric approach, the Vuong test, does not perform well under the small-n, high canonical correlation conditions that are sometimes encountered in world politics research. The nonparametric approach outperforms the Vuong test in Monte Carlo experiments and is trivial to implement even for the most complicated models. The method is applied to two empirical examples: the debate over long cycles and the effect of domestic politics on foreign policy decision making.

Keywords: nonnested; nonparametric; model testing; Vuong (search for similar items in EconPapers)
Date: 2003
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (19)

Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/0022002702239512 (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:sae:jocore:v:47:y:2003:i:1:p:72-93

DOI: 10.1177/0022002702239512

Access Statistics for this article

More articles in Journal of Conflict Resolution from Peace Science Society (International)
Bibliographic data for series maintained by SAGE Publications ().