Identifying covariates of population health using extreme bound analysis Carmignani, F, Shankar, S, Tan, Andrew and Tang, KK 2014, Identifying covariates of population health using extreme bound analysis, European Journal of Health Economics, vol. 15, no. 5, pp. 515-531, doi: 10.1007/s10198-013-0492-1. Attached Files Name Description MIMEType Size Downloads Title Identifying covariates of population health using extreme bound analysis Author(s) Carmignani, F Shankar, S Tan, Andrew orcid.org/0000-0003-4449-4404 Tang, KK Journal name European Journal of Health Economics Volume number 15 Issue number 5 Start page 515 End page 531 Total pages 17 Publisher SPRINGER Place of publication Germany Publication date 2014-01-01 ISSN 1618-7598 1618-7601 Keyword(s) Social Sciences Science & Technology Life Sciences & Biomedicine Economics Health Policy & Services Business & Economics Health Care Sciences & Services Population health Regression Extreme bounds analysis Robustness LESS-DEVELOPED-COUNTRIES INFANT-MORTALITY CLIMATE-CHANGE INDUSTRIALIZED COUNTRIES INCOME-DISTRIBUTION CHILD-MORTALITY DEMOCRACY GOOD DETERMINANTS INEQUALITY OUTCOMES Language eng DOI 10.1007/s10198-013-0492-1 Indigenous content off Field of Research 111712 Health Promotion 1117 Public Health and Health Services 1402 Applied Economics HERDC Research category C1.1 Refereed article in a scholarly journal Persistent URL http://hdl.handle.net/10536/DRO/DU:30140082 Document type: Journal Article Collections: Faculty of Health School of Health and Social Development Related Links Link Description Connect to published version Go to link with your DU access privileges   Author URL Go to link with your DU access privileges   Connect to Elements publication management system Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Thu, 16 Jul 2020, 16:22:57 EST Fri, 17 Jul 2020, 05:01:01 EST Thu, 11 Nov 2021, 18:30:29 EST Fri, 12 Nov 2021, 12:53:30 EST Fri, 12 Nov 2021, 13:02:57 EST Filtered Full Citation counts:   Cited 8 times in TR Web of Science Cited 8 times in Scopus Search Google Scholar Access Statistics: 34 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Thu, 16 Jul 2020, 16:22:57 EST