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Articles

Health-related quality of life and compensating income variation for 18 health conditions in Iceland

ORCID Icon, ORCID Icon, & ORCID Icon
Pages 1656-1670 | Published online: 17 Oct 2019
 

ABSTRACT

Using data from an Icelandic health and well-being survey, carried out in 2007, 2009, and 2012, we estimate the value of health-related suffering in two different ways. Our primary aim is to obtain the monetary compensation needed to maintain the same level of well-being with and without 18 health conditions using the compensating-income-variation approach. This method employs individual well-being measures with no hypothetical situations involved, thus offering a solution to biases of frequently used methods to value non-marketed goods. We also use zero-one normalization of regression coefficients to estimate health-related quality-of-life weights. Results from monetary valuations indicate that 1,685,594 USD are needed per year to compensate for the presence of melancholy, 206,273 USD for frequent headaches, 153,396 USD for severely low vision, and 80,824 USD for severe monthly menstrual cramps. This research adds to the literature by employing two rarely used methods to a range of health conditions. By valuing several different conditions with the same sample and methodology this research provides a ranking between the conditions, aiding policy makers in prioritizing scarce resources. We do however advise against using the normalization method for policy purposes at this point, due to the deviation of results from the general literature.

JEL CLASSIFICATION:

Acknowledgments

Provision of data from the Directorate of Health in Iceland is gratefully acknowledged, as well as funding from the Icelandic Research Fund (grant no 184975-051).

Disclosure statement

No potential conflict of interest was reported by the authors.

Supplemental material

Supplemental data for this article can be accessed here.

Additional information

Funding

This study was funded by The Icelandic Research Fund (grant no 184975-051).

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