A Monte Carlo approach to investigate sampling variability in a semi-log labour supply function

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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.descriptionBibliography: p. 136-141en
dc.format.extentxi, 141 leaves ; 30 cm.en
dc.identifier.citationYeo, K. S. (1998). A Monte Carlo approach to investigate sampling variability in a semi-log labour supply function (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/23840en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/23840
dc.identifier.lccHD4826.5 .Y46 1998en
dc.identifier.urihttp://hdl.handle.net/1880/25902
dc.language.isoeng
dc.publisher.institutionUniversity of Calgaryen
dc.publisher.placeCalgaryen
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
thesis.degree.disciplineEconomics
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameMaster of Arts (MA)
ucalgary.item.requestcopytrue
ucalgary.thesis.accessionTheses Collection 58.002:Box 1177 520680206
ucalgary.thesis.notesUARCen
ucalgary.thesis.uarcreleaseyen
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