Valuing Depression Using the Well-Being Valuation Approach

Daniela Andrén ()

Journal of Happiness Studies, 2023, vol. 24, issue 1, No 6, 107-140

Abstract: Abstract 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.

Keywords: Depression; Subjective well-being; Life satisfaction; Well-being valuation method (WVM); Life satisfaction approach (LSA) (search for similar items in EconPapers)
JEL-codes: A12 D60 I31 (search for similar items in EconPapers)
Date: 2023
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Citations: View citations in EconPapers (1)

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Working Paper: Valuing depression using the well-being valuation approach (2020)
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DOI: 10.1007/s10902-022-00557-8

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