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Data · dataset · 2010

Replication data for: A Simple Distribution-Free Test for Nonnested Model Selection

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This paper considers a simple distribution-free test for nonnested model selection.

Description

The new test is shown to be asymptotically more efficient than the well-known Vuong test when the distribution of individual log-likelihood ratios is highly peaked. Monte Carlo results demonstrate that for many applied research situations, this distribution is indeed highly peaked.

The simulation further demonstrates that the proposed test has greater power than the Vuong test under these conditions. The substantive application addresses the effect of domestic political institutions on foreign policy decision making. Do domestic institutions have effects because they hold political leaders accountable, or do they simply promote political norms that shape elite bargaining behavior?

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The results indicate that the latter model has greater explanatory power.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Simulation 75%
Provenance · 1 source records, 7 field assertions
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Harvard Dataversedoi:10.7910/DVN/KVMF0H14 d agoJSON v1
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descriptionsource · Harvard Dataverseconnector:dataverse@1.0.0/description
publication_datesource · Harvard Dataverseconnector:dataverse@1.0.0
titlesource · Harvard Dataverseconnector:dataverse@1.0.0/name
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