Skip navigation
  • Home
  • Browse
    • Communities
      & Collections
    • Browse Items by:
    • Publication Date
    • Author
    • Title
    • Subject
    • Department
  • Sign on to:
    • My MacSphere
    • Receive email
      updates
    • Edit Profile


McMaster University Home Page
  1. MacSphere
  2. Departments and Schools
  3. DeGroote School of Business
  4. DeGroote School of Business Working Papers
  5. DeGroote School of Business Working Paper Series
Please use this identifier to cite or link to this item: http://hdl.handle.net/11375/5488
Full metadata record
DC FieldValueLanguage
dc.contributor.authorTorrance, George W.en_US
dc.contributor.authorBoyle, Michael H.en_US
dc.contributor.authorHorwood, Sargent P.en_US
dc.contributor.authorMcMaster University, Faculty of Businessen_US
dc.date.accessioned2014-06-17T20:41:14Z-
dc.date.available2014-06-17T20:41:14Z-
dc.date.created2013-12-23en_US
dc.date.issued1982-06en_US
dc.identifier.otherdsb/147en_US
dc.identifier.other1146en_US
dc.identifier.other4944170en_US
dc.identifier.urihttp://hdl.handle.net/11375/5488-
dc.description<p>38 leaves : ; Includes bibliographical references (leaves [39-42]). ; "June 1982."</p>en_US
dc.description.abstract<p>A four-attribute health state classification system designed to uniquely categorize the health status of all individuals two years of age and over is presented. A social preference function defined over the health state classification system is required. Standard mult-attribute utility theory is investigated for the task, problems are identified and modifications to the standard method are proposed. The modified method is field tested in a survey research project involving 112 home interviews. Results are presented and discussed in detail for both the social preference function and the performance of the modified method. A recommended social preference function is presented, complete with a range of uncertainty. The modified method is found to be applicable to the task -- no insurmountable difficulties are encountered. Recommendations are presented , based on our experience, for other investigators who may be interested in reapplying the method in other studies.</p>en_US
dc.relation.ispartofseriesResearch and working paper series (McMaster University. Faculty of Business)en_US
dc.relation.ispartofseriesno. 189en_US
dc.subjectMulti-attribute utility theoryen_US
dc.subjectSocial preferencesen_US
dc.subjectHealth statesen_US
dc.subjectHealth servicesen_US
dc.subject.lccHealth status indicators > Statistical methods Medical care > Needs assessment > Statistical methods Utility theoryen_US
dc.titleApplication of multi-attribute utility theory to measure social preferences for health statesen_US
dc.typearticleen_US
Appears in Collections:DeGroote School of Business Working Paper Series

Files in This Item:
File SizeFormat 
fulltext.pdf
Open Access
1.33 MBAdobe PDFView/Open
Show simple item record Statistics


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

Sherman Centre for Digital Scholarship     McMaster University Libraries
©2022 McMaster University, 1280 Main Street West, Hamilton, Ontario L8S 4L8 | 905-525-9140 | Contact Us | Terms of Use & Privacy Policy | Feedback

Report Accessibility Issue