Causal Inference from Pivotal Politics Theories

dc.contributor.authorClarke, A. J.
dc.contributor.authorGray, Thomas R.
dc.contributor.authorLowande, K.
dc.contributor.utdAuthorGray, Thomas R.
dc.date.accessioned2019-06-14T22:02:52Z
dc.date.available2019-06-14T22:02:52Z
dc.date.created2018-05-14
dc.descriptionFull text access from Treasures at UT Dallas is restricted to current UTD affiliates.
dc.description.abstractWe review attempts to evaluate Pivotal Politics and related theories in light of the social sciences’ movement toward causal empiricism. To accommodate limitations of available data, most existing empirical approaches require additional assumptions about key variables. Moreover, it is difficult to find sources of exogenous variation in causal factors of interest. Although causal empiricism and pivotal politics theories share a focus on counterfactual comparisons, we argue that many design-based strategies for inference are ill suited to directly testing the theory’s predictions. We conclude by discussing opportunities to apply the contemporary causal inference “toolkit” to evaluate the theories’ central predictions, highlighting both the barriers to application as well as potential avenues for future use.
dc.description.departmentSchool of Economic, Political and Policy Studies
dc.identifier.bibliographicCitationClarke, A. J., T. R. Gray, and K. Lowande. 2018. "Causal inference from pivotal politics theories." Journal of Politics 80(3):. 1082-1087, doi:10.1086/697950
dc.identifier.issn00223816
dc.identifier.issue3
dc.identifier.urihttps://hdl.handle.net/10735.1/6590
dc.identifier.volume80
dc.language.isoen
dc.publisherUniversity of Chicago Press
dc.relation.urihttp://dx.doi.org/10.1086/697950
dc.rights©2018, Southern Political Science Association. All rights reserved.
dc.source.journalJournal of Politics
dc.subjectUnited States. Congress
dc.subjectSocial sciences
dc.subjectCounterfactuals (Logic)
dc.subjectInference
dc.titleCausal Inference from Pivotal Politics Theories
dc.type.genrearticle

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