Correcting for discounting and loss aversion in composite time trade-off

Stefan A. Lipman*, Arthur E. Attema, Matthijs M. Versteegh

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

7 Citations (Scopus)
93 Downloads (Pure)

Abstract

Time trade-off utilities have been suggested to be biased upwards. This bias is a result of the method being applied assuming linear utility of life duration, which is violated when individuals discount future life years or are loss averse for health. Applying a “corrective approach”, that is, measuring individuals' discount function and loss aversion and correcting time trade-off utilities for these individual characteristics, may reduce this bias in utilities. Earlier work has developed this approach for time trade-off in a student sample. In this study, the corrective approach was extended to composite time trade-off (cTTO) methodology, which enabled correcting utilities for health states worse than dead. In digital interviews a sample of 150 members of the general public completed cTTO tasks for six health states, and afterward they completed measurements of loss aversion and discounting. cTTO utilities were corrected using these measurements under multiple specifications. Respondents were also asked to reflect on and adjust their cTTO utilities directly. Our results show considerable loss aversion and both positive and negative discounting were prevalent. As predicted, correction generally resulted in lower utilities. This was in accordance with the direction of adjustments made by respondents themselves.

Original languageEnglish
Pages (from-to)1633-1648
Number of pages16
JournalHealth Economics
Volume31
Issue number8
Early online date26 Apr 2022
DOIs
Publication statusPublished - Aug 2022

Bibliographical note

Funding Information:
Matthijs Versteegh is a member of the EuroQol Group. All authors have received research grants from the EuroQol Research Foundation for work outside the scope of the submitted work.

Funding Information:
The views expressed by the authors do not necessarily reflect the views of the EuroQol group. We also gratefully acknowledge the valuable assistance and comments provided by Elly Stolk and Benjamin Craig. This study was made possible through funding provided by the EuroQol Research Foundation (project number: 20190080R1).

Publisher Copyright:
© 2022 The Authors. Health Economics published by John Wiley & Sons Ltd.

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