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Data · dataset · 2009

Replication data for: The Median Justice on the U.S. Supreme Court

Listed in Harvard Dataverse

Black's "Median Voter Theorem" now figures prominently and crucially in a wide array of research on the United States Supreme Court, from studies on the nomination and confirmation of Justices, to investigations into the Court's resolution of disputes, to analyses of its impact on the hierarchy of justice.

Description

Nonetheless, and regardless of the substantive focus of the investigation, the question of how to locate the median Justice looms large.

Because all extant answers have their share of problems, we set out to develop a more compelling approach-one that relies on methods developed by Martin and Quinn. Via this approach we derive a systematic accounting of the Justice with the highest (posterior) probability of having served as the median for each Term since 1937. In what follows, we (1) introduce the Martin-Quinn method, (2) explain why it represents an improvement over previous efforts, and (3) offer two contemporary applications-both of which assess emerging pieces of wisdom about the Court: that (a) the median Justice (Sandra Day O'Connor) has moved to the "left" or, at least, has grown more moderate in recent Terms, and (b) President George W. Bush will be able to "remake" the Court.

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If you use these data, please cite: Andrew D. Martin and Kevin M. Quinn. 2002. "Dynamic Ideal Point Estimation via Markov Chain Monte Carlo for the U.S. Supreme Court, 1953-1999." Political Analysis. 10: 134-153. article available here

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Where it is published

Catalogue records · 1
Provenance · 1 source records, 6 field assertions
SourceKeyLast seenRaw
Harvard Dataversedoi:10.7910/DVN/WLK9TT13 d agoJSON v1
FieldAssertionExtractorEvidence
created_datesource · Harvard Dataverseconnector:dataverse@1.0.0
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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