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Valuing Depression Using the Well-Being Valuation Approach
Örebro University, Örebro University School of Business.ORCID iD: 0000-0003-4570-7504
2023 (English)In: Journal of Happiness Studies, ISSN 1389-4978, E-ISSN 1573-7780, Vol. 24, no 1, p. 107-140Article in journal (Refereed) Published
Abstract [en]

The continuously dramatic rise of the number of people suffering from depression is attracting an increasing demand for effective ways of preventing depression. Besides the need for new interventions, there is also a continuous call for a more robust framework for economic evaluation of public interventions. Taking into account people's preferences for public goods is not straightforward to quantify, and therefore, in addition to designing a new technique for valuing nonmarket goods and services, it is equally important to use valuation methods that are not yet established as traditional. One less commonly used method to assess the cost of depression in monetary terms is the well-being valuation method or the life satisfaction approach, which requires answers to only a few questions that are significantly less time demanding for the respondents than more traditional approaches. We added a well-being question to a contingent valuation web-survey that describes hypothetical interventions aimed to prevent depression in Sweden and estimated that the loss in life satisfaction for individuals who experienced depression varies between approximately 350 and 45,000 euros per year. The monetary compensation would be, on average, higher for individuals who experienced own depression than for those who know someone near, family or friend, who experienced depression, for men than for women, and for middle-aged than for younger and older individuals, respectively.

Place, publisher, year, edition, pages
Springer, 2023. Vol. 24, no 1, p. 107-140
Keywords [en]
Depression, Subjective well-being, Life satisfaction, Well-being valuation method (WVM), Life satisfaction approach (LSA)
National Category
Economics Psychology
Identifiers
URN: urn:nbn:se:oru:diva-102193DOI: 10.1007/s10902-022-00557-8ISI: 000878000100001Scopus ID: 2-s2.0-85141195701OAI: oai:DiVA.org:oru-102193DiVA, id: diva2:1710932
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Örebro UniversityAvailable from: 2022-11-15 Created: 2022-11-15 Last updated: 2023-06-08Bibliographically approved

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Andrén, Daniela

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