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dc.contributor.authorAaberge, Rolf
dc.contributor.authorColombino, Ugo
dc.date.accessioned2020-02-04T16:18:10Z
dc.date.available2020-02-04T16:18:10Z
dc.date.created2018-11-03T20:50:42Z
dc.date.issued2018
dc.identifier.citationInternational Journal of Microsimulation. 2018, 11 (1), 162-197.nb_NO
dc.identifier.issn1747-5864
dc.identifier.urihttp://hdl.handle.net/11250/2639668
dc.description.abstractThe purpose of the paper is to provide a discussion of the various approaches for accounting for labour supply responses in microsimulation models. The paper focus attention on two methodologies for modelling labour supply: (i) the discrete choice model and (ii) the random utility – random opportunities model. The paper then describes approaches to utilising these models for policy simulation in terms of producing and interpreting simulation outcomes, outlining an extensive literature of policy analyses utilising these approaches. Labour supply models are not only central for analysing behavioural labour supply responses but also for identifying optimal taxbenefit systems, given some of the challenges of the theoretical approach. Combining labour supply results with individual and social welfare functions enables the social evaluation of policy simulations. Combining welfare functions and labour supply functions, the paper discusses how to model socially optimal income taxation.
dc.language.isoengnb_NO
dc.titleStructural labour supply models and microsimulationnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersion
dc.description.versionpublishedVersion
dc.source.pagenumber162-197nb_NO
dc.source.volume11nb_NO
dc.source.journalInternational Journal of Microsimulationnb_NO
dc.source.issue1nb_NO
dc.identifier.cristin1626674
dc.relation.projectNorges forskningsråd: 179552nb_NO
cristin.unitcode5932,0,0,0
cristin.unitnameStatistisk sentralbyrå
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.fulltextoriginal
cristin.qualitycode1


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