Nghiem, Son and Khanam, Rasheda 
ORCID: https://orcid.org/0000-0003-1130-2357 and Vu, Xuan-Binh (Benjamin) and Tran, Bach Xuan
(2019)
Estimating the cost of mental illness in Australia: a standard of living approach.
Discussion Paper.
University of Southern Queensland
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[Report]
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Text (Submitted Version)
The Costs of Mental Health in Australia_Version4.pdf Download (309kB) | Preview |
Abstract
This paper estimates the costs of mental health in Australia using the standard-of-living approach. We analyse data from the Household, Income and Labour Dynamics in Australia Survey using an extended random-effects estimator. To the best of our knowledge, this is the first study to examine the cost of mental illness in Australia using the standard of living approach with a nationally representative longitudinal data set. Results from the main specification show that people with a mental illness need to increase their equivalised disposable income by 50% to achieve a similar living standard as those without a mental illness. The cost estimates vary considerably with measures of mental illness and standard of living. An alternative measure of mental illness using the first quintile of the SF-36 mental health score distribution resulted in an increase of estimated costs to 80% equivalised disposable income.
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Statistics for this ePrint Item |
| Item Type: | Report (Discussion Paper) |
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| Item Status: | Live Archive |
| Faculty/School / Institute/Centre: | Historic - Faculty of Business, Education, Law and Arts - School of Commerce (1 Jul 2013 - 17 Jan 2021) |
| Faculty/School / Institute/Centre: | Historic - Faculty of Business, Education, Law and Arts - School of Commerce (1 Jul 2013 - 17 Jan 2021) |
| Date Deposited: | 08 Apr 2019 06:19 |
| Last Modified: | 09 Jan 2020 05:54 |
| Uncontrolled Keywords: | cost of mental illness; standard of living approach; panel data; extended random-effects estimator; Australia |
| Fields of Research (2008): | 14 Economics > 1402 Applied Economics > 140208 Health Economics |
| URI: | http://eprints.usq.edu.au/id/eprint/36264 |
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