Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/53665
Full metadata record
DC FieldValueLanguage
dc.contributor.authorA. Wichianen_US
dc.contributor.authorS. Sriboonchittaen_US
dc.date.accessioned2018-09-04T09:55:04Z-
dc.date.available2018-09-04T09:55:04Z-
dc.date.issued2014-01-01en_US
dc.identifier.issn16860209en_US
dc.identifier.other2-s2.0-84907247337en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84907247337&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/53665-
dc.description.abstract© 2014 by the Mathematical Association of Thailand. All rights reserved. This paper aims on applying the copula approach to an endogenous switching regression model to determine the public and private sector wages for older workers in Thailand. The copula approach to endogenous switching models not only allows for flexibility in the specification for the margins but also considers employing different families of copulas to measure the dependence between the disturbance terms in the switching equation (εs) and those in the two wage equations (ε0 and ε1). This paper demonstrates that based on the log–likelihood value and the criterion of BIC, all of the copula–based models perform better than the standard model, for this context, especially with the Frank-Gaussian (L–t–t) model. Furthermore, these results show the presence of significant negative dependency of unobservable factors between the switching regression and the wage regression, which implies that those older workers who are engaged in the public sector have suffered more from the wage penalty than those in the private sector. Thus, the concerned policy makers should run campaigns that encourage the public sector to retain the older workers with high wages, especially on those individuals with higher education and skills.en_US
dc.subjectMathematicsen_US
dc.titleEconometric analysis of private and public wage determination for older workers using a copula and switching regressionen_US
dc.typeJournalen_US
article.title.sourcetitleThai Journal of Mathematicsen_US
article.volume2014en_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

Files in This Item:
There are no files associated with this item.


Items in CMUIR are protected by copyright, with all rights reserved, unless otherwise indicated.