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dc.contributor.authorBond, T. N.en_US
dc.contributor.authorLang, Kevinen_US
dc.date2018-04-01
dc.date.accessioned2020-04-21T15:56:36Z
dc.date.available2020-04-21T15:56:36Z
dc.date.issued2019-08-01
dc.identifier.citationT.N. Bond, K. Lang. 2019. "The sad truth about happiness scales." Journal of Political Economy, Volume 127, Issue 4, pp. 1629 - 1640 (12). https://doi.org/10.1086/701679
dc.identifier.issn0022-3808
dc.identifier.urihttps://hdl.handle.net/2144/40265
dc.description.abstractHappiness is reported in ordered intervals (e.g. very, pretty, not too happy). We review and apply standard statistical results to determine when such data permit identification of two groups' relative average happiness. The necessary conditions for nonparametric identification are strong and unlikely to be ever satisfied. Standard parametric approaches cannot identify this ranking unless the variances are exactly equal. If not, ordered probit findings can be reversed by lognormal transformations. For nine prominent happiness research areas, conditions for nonparametric identification are rejected and standard parametric results are reversed using plausible transformations. Tests for a common reporting function consistently reject.en_US
dc.format.extentp. 1629 - 1640en_US
dc.language.isoen_US
dc.publisherUniversity of Chicago Pressen_US
dc.relation.ispartofJournal of Political Economy
dc.subjectEconomicsen_US
dc.subjectCommerce, management, tourism and servicesen_US
dc.titleThe sad truth about happiness scalesen_US
dc.typeArticleen_US
dc.description.versionAccepted manuscripten_US
dc.identifier.doi10.1086/701679
dc.description.embargo2020-08-01
pubs.elements-sourcemanual-entryen_US
pubs.notesEmbargo: 12 monthsen_US
pubs.organisational-groupBoston Universityen_US
pubs.organisational-groupBoston University, College of Arts & Sciencesen_US
pubs.organisational-groupBoston University, College of Arts & Sciences, Department of Economicsen_US
pubs.publication-statusAccepteden_US
dc.identifier.orcid0000-0002-8497-1706 (Lang, K)
dc.identifier.mycv184952


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