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dc.contributor.advisorGordon, Daniel V.
dc.contributor.authorYeo, Kian Soon
dc.date.accessioned2005-07-29T14:57:15Z
dc.date.available2005-07-29T14:57:15Z
dc.date.issued1998
dc.identifier.citationYeo, K. S. (1998). A Monte Carlo approach to investigate sampling variability in a semi-log labour supply function (Unpublished master's thesis). University of Calgary, Calgary, AB. doi:10.11575/PRISM/23840en_US
dc.identifier.urihttp://hdl.handle.net/1880/25902
dc.descriptionBibliography: p. 136-141en
dc.format.extentxi, 141 leaves ; 30 cm.en
dc.language.isoeng
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.
dc.subject.lccHD4826.5 .Y46 1998en
dc.subject.lcshLabor supply--Statistics
dc.subject.lcshWages--Statistics
dc.subject.lcshMonte Carlo method
dc.titleA Monte Carlo approach to investigate sampling variability in a semi-log labour supply function
dc.typemaster thesis
dc.publisher.institutionUniversity of Calgaryen
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/23840
thesis.degree.nameMaster of Arts
thesis.degree.nameMA
thesis.degree.disciplineEconomics
thesis.degree.grantorUniversity of Calgary
dc.identifier.lccHD4826.5 .Y46 1998en
dc.publisher.placeCalgaryen
ucalgary.thesis.notesUARCen
ucalgary.thesis.uarcreleaseyen
ucalgary.item.requestcopytrue


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