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dc.contributor.authorWang, Yi
dc.contributor.authorZhou, Peng
dc.date.accessioned2019-03-14T10:57:56Z
dc.date.available2019-03-14T10:57:56Z
dc.date.issued2019
dc.identifier.issn1757-1170
dc.identifier.issn1757-1189 (online)
dc.identifier.urihttp://hdl.handle.net/10369/10366
dc.descriptionArticle accepted for publication in International Journal of Computational Economics and Econometricsen_US
dc.description.abstractThis paper investigates the public sector wage premium in the UK over the first decade of the 21 st century using both econometric and economic modelling methods. A com- prehensive literature review is conducted to summarise the four popular types of meth- ods adopted by the traditional microeconometric studies. Application of these methods results in an estimated public sector wage premium equal to 6.5% . Indirect inference is then introduced as a new method of testing and estimating a microfounded economic model. All four types of econometric methods can be used as auxiliary models to sum- marise the data features, based on which the distance between the actual data and the model -simulated data is assessed. The selection bias can also be tested in a straightfor- ward way under indirect inference.en_US
dc.language.isoenen_US
dc.publisherInderscienceen_US
dc.relation.ispartofseriesInternational Journal of Computational Economics and Econometrics;
dc.subjectMicrofoundationen_US
dc.subjectPropensity Score Matchingen_US
dc.subjectindirect inferenceen_US
dc.titleThe public sector wage premium puzzleen_US
dc.typeArticleen_US
dcterms.dateAccepted2017-09-29
rioxxterms.funderCardiff Metropolitan Universityen_US
rioxxterms.identifier.projectCardiff Metropolian (Internal)en_US
rioxxterms.versionAMen_US
rioxxterms.freetoread.startdate2100-01-01
rioxxterms.funder.project37baf166-7129-4cd4-b6a1-507454d1372een_US


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