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dc.contributor.authorJamison, J
dc.contributor.authorGauri, V
dc.contributor.authorMazar, N
dc.contributor.authorOzier, O
dc.date.accessioned2019-05-29T14:19:35Z
dc.date.issued2019-12-13
dc.description.abstractBureaucratic performance is a crucial determinant of economic growth, but little real-world evidence exists on how to improve it, especially in resource-constrained settings. We conducted a field experiment of a social recognition intervention to improve record keeping in health facilities in two Nigerian states, replicating the intervention – implemented by a single organization – on bureaucrats performing identical tasks. Social recognition improved performance in one state but had no effect in the other, highlighting both the potential benefits and also the sometimeslimited generalizability of behavioral interventions. Furthermore, differences in facility-level observables did not explain cross-state differences in impacts, suggesting that it may often be difficult to predict external validity.en_GB
dc.identifier.citationPublished online 13 December 2019
dc.identifier.doi10.1016/j.obhdp.2019.05.005
dc.identifier.urihttp://hdl.handle.net/10871/37278
dc.language.isoenen_GB
dc.publisherElsevieren_GB
dc.rights© 2019 Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND 3.0 license (https://creativecommons.org/licenses/BY-NC-ND 3.0/IGO/)
dc.subjectRCTen_GB
dc.subjectexternal validityen_GB
dc.subjectbureaucracyen_GB
dc.subjectbehavioral insightsen_GB
dc.subjectnudgesen_GB
dc.subjecthealthcareen_GB
dc.titleMotivating bureaucrats through social recognition: External validity - A tale of two statesen_GB
dc.typeArticleen_GB
dc.date.available2019-05-29T14:19:35Z
dc.identifier.issn0749-5978
dc.descriptionThis is the final version. Available on open access from Elsevier via the DOI in this recorden_GB
dc.identifier.journalOrganizational Behavior and Human Decision Processesen_GB
dc.rights.urihttps://creativecommons.org/licenses/BY-NC-ND 3.0/IGO/en_GB
dcterms.dateAccepted2019-05-22
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2019-05-22
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2019-05-28T11:01:48Z
refterms.versionFCDAM
refterms.dateFOA2019-05-29T14:19:38Z
refterms.panelCen_GB


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© 2019 Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND 3.0 license (https://creativecommons.org/licenses/BY-NC-ND 3.0/IGO/)
Except where otherwise noted, this item's licence is described as © 2019 Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND 3.0 license (https://creativecommons.org/licenses/BY-NC-ND 3.0/IGO/)