Nonparametric Model Discrimination in International Relations
Bibliographic Data
| ID | 6284500 |
|---|---|
| Authors | Kevin A Clarke (0000-0002-8818-5497, Department of Political Science University of Rochester, corresponding author) |
| Year | 2003 |
| Volume | 47 |
| Issue | 1 |
| Pages | 72-93 |
| Publication date | 2003-02-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Conflict Resolution (JOURNAL) |
| Journal identifiers | ISSN: 0022-0027 • E-ISSN: 1552-8766 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/0022002702239512 |
| OpenAlex | W2120892989 |
| Language | EN |
| Citations received | 31 |
| References cited | 28 |
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
Econometrics · Economics · Epistemology · International relations · Mathematical economics · Monte Carlo method · Nonparametric statistics · Parametric statistics · Political science · Politics · Positive economics · Simple (philosophy · Statistics · Test (biology · International Development and Aid · International Relations and Foreign Policy · Law · Mathematics · Political Conflict and Governance
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| Unique citing works | 31 |
|---|---|
| Citations per year | 1,35 |
| Citation span | 2003 - 2022 (20) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 31 |