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Diagnosing Expertise: Human Capital, Decision Making, and Performance among Physicians

Author(s): Currie, Janet M.; MacLeod, W. Bentley

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DC FieldValueLanguage
dc.contributor.authorCurrie, Janet M.-
dc.contributor.authorMacLeod, W. Bentley-
dc.date.accessioned2020-01-27T19:00:34Z-
dc.date.available2020-01-27T19:00:34Z-
dc.date.issued2017-01en_US
dc.identifier.citationCurrie, Janet M., MacLeod, W. Bentley. (2017). Diagnosing Expertise: Human Capital, Decision Making, and Performance among Physicians. Journal of Labor Economics, 35 (1), 1 - 43. doi:10.1086/687848en_US
dc.identifier.issn0734-306X-
dc.identifier.urihttp://arks.princeton.edu/ark:/88435/pr1w75d-
dc.description.abstractExpert performance is often evaluated assuming that good experts have good outcomes. We examine expertise in medicine and develop a model that allows for two dimensions of physician performance: decision making and procedural skill. Better procedural skill increases the use of intensive procedures for everyone, while better decision making results in a reallocation of procedures from fewer low-risk to high-risk cases. We show that poor diagnosticians can be identified using administrative data and that improving decision making improves birth outcomes by reducing C-section rates at the bottom of the risk distribution and increasing them at the top of the distribution.en_US
dc.format.extent1 - 43en_US
dc.language.isoen_USen_US
dc.relation.ispartofJournal of Labor Economicsen_US
dc.rightsAuthor's manuscripten_US
dc.titleDiagnosing Expertise: Human Capital, Decision Making, and Performance among Physiciansen_US
dc.typeJournal Articleen_US
dc.identifier.doidoi:10.1086/687848-
dc.identifier.eissn1537-5307-
pu.type.symplectichttp://www.symplectic.co.uk/publications/atom-terms/1.0/journal-articleen_US

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