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dc.contributor.authorMinford, Patrick
dc.contributor.authorWang, Yi
dc.contributor.authorZhou, Peng
dc.date.accessioned2019-09-10T08:57:19Z
dc.date.available2019-09-10T08:57:19Z
dc.date.issued2019-08-07
dc.identifier.citationMinford, P., Wang, Y. and Zhou, P. (2019) 'Resolving the public-sector wage premium puzzle by indirect inference', Applied Economics, pp.1-16. DOI: 10.1080/00036846.2019.1648748.en_US
dc.identifier.issn1466-4283
dc.identifier.urihttp://hdl.handle.net/10369/10720
dc.descriptionArticle published in Applied Economics on 07 August 2019 (online), available at: https://doi.org/10.1080/00036846.2019.1648748.en_US
dc.description.abstractThis paper investigates the public-sector wage premium (PSWP) in the UK using a microfounded economic model and indirect inference (II). To answer the question whether there is public-sector wage premium, we ask an equivalent question – whether a model assuming perfect competition can explain the data. The neoclassical labour economic model is tested and estimated without introducing any ad hoc gap between the theoretical and empirical models. Popular econometric models are used as auxiliary models to summarise the data features, based on which we evaluate the distance between the observed data and the model-simulated data. We show that it is not the non-market factors, but the total costs and benefits of working in different sectors and so simple market forces, that create the public-sector wage premium. In other words, there is no inefficiency or unfairness in the labour market to justify government intervention. In addition, selection bias test can be incorporated into the indirect inference procedures in a straightforward way, and we find no evidence for it in the data.en_US
dc.description.sponsorshipThis work was supported by the The Ministry of Education of China [19YJA790089].en_US
dc.language.isoenen_US
dc.publisherTaylor and Francisen_US
dc.relation.ispartofseriesApplied Economics;
dc.titleResolving the public-sector wage premium puzzle by indirect inferenceen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1080/00036846.2019.1648748
dcterms.dateAccepted2019-07-18
rioxxterms.versionNAen_US
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden_US
rioxxterms.licenseref.startdate2019-09-10


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