Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11889/6378
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dc.contributor.authorAyyash, Mohsenen_US
dc.contributor.authorSadeq, Tareqen_US
dc.contributor.authorSek, Siok Kunen_US
dc.date.accessioned2020-04-21T20:56:12Z-
dc.date.available2020-04-21T20:56:12Z-
dc.date.issued2020-01-01-
dc.identifier.issn17595673-
dc.identifier.urihttp://hdl.handle.net/20.500.11889/6378-
dc.descriptionAbstract of Article in : International Journal of Education Economics and Development, 2020, vol.11, no.1, pp. 37-57en_US
dc.description.abstractThis paper presents an empirical method to find more efficient estimates of returns to schooling using Bayesian linear regression instead of OLS method. The private returns to schooling in Palestine using the Palestinian labour force survey (PLFS) for the year 2017 have been estimated, where on average, males earn 40.7% more than females. Separate regressions have been performed for males and females, in which the returns to schooling for females are found higher than their males' counterparts. Bayesian inference has also been applied into Heckman two-step procedure with logit and probit models to correct self-selection bias for females' sample. It is found that logit Heckman correction yields positive and higher coefficient of years of schooling than probit and OLS. The wage disparities in Palestine have been found influenced by various factors like age, sex, and occupational groups. These findings are useful for policymakers to plan for future investment in higher education.en_US
dc.language.isoenen_US
dc.relation.ispartofInternational Journal of Education Economics and Developmenten_US
dc.subjectEconomic development - Effect of education on – Palestineen_US
dc.subjectEducation - Economic aspects – Palestineen_US
dc.subjectBayesian statistical decision theoryen_US
dc.subjectWages - Effect of education on – Palestineen_US
dc.subjectHuman capital - Econometric modelsen_US
dc.titleReturns to schooling in Palestine : a Bayesian approachen_US
dc.typeArticleen_US
newfileds.departmentGraduate Studiesen_US
newfileds.item-access-typeopen_accessen_US
newfileds.thesis-progApplied Statisticsen_US
newfileds.general-subjectSocial Sciences | العلوم الإنسانيةen_US
dc.identifier.doihttps://api.elsevier.com/content/abstract/scopus_id/85077698426-
dc.identifier.doihttps://api.elsevier.com/content/abstract/scopus_id/85077698426-
dc.identifier.doi10.1504/IJEED.2020.104285-
dc.identifier.doihttps://api.elsevier.com/content/abstract/scopus_id/85077698426-
dc.identifier.scopus2-s2.0-85077698426-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85077698426-
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item.grantfulltextopen-
item.languageiso639-1other-
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