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Data · dataset · 2010

Replication data for: Causal Complexity & the Study of Politics

Listed in Harvard Dataverse

Theories that posit complex causation, or multiple causal paths, pervade the study of politics but have yet to find accurate statistical expression.

Description

To remedy this situation I derive new econometric procedures, Boolean probit and logit, based on the logic of complexity. The solution provides an answer to a puzzle in the rational deterrence literature: the divergence between theory and case-study findings, on the one hand, and the findings of quantitative studies, on the other, on the issue of the role of capabilities and willingness in the initiation of disputes.

It also makes the case that different methodological traditions, rather than settling into "separate but equal" status, can instead inform and enrich one another.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Econometrics 73%
Provenance · 1 source records, 7 field assertions
SourceKeyLast seenRaw
Harvard Dataversedoi:10.7910/DVN/BFXTQ114 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:group:3802enrichment · Harvard Dataversetaxonomy-embedding@1.1.0title+keywords+description (73%)
created_datesource · Harvard Dataverseconnector:dataverse@1.0.0
descriptionsource · Harvard Dataverseconnector:dataverse@1.0.0/description
publication_datesource · Harvard Dataverseconnector:dataverse@1.0.0
titlesource · Harvard Dataverseconnector:dataverse@1.0.0/name
updated_datesource · Harvard Dataverseconnector:dataverse@1.0.0
version_labelsource · Harvard Dataverseconnector:dataverse@1.0.0