Discrete Choice Experiment Response Rates: A Meta‐analysis

Verity Watson, Frauke Becker and Esther de Bekker‐Grob

Health Economics, 2017, vol. 26, issue 6, 810-817

Abstract: This paper uses meta‐regression analysis to test how aspects of discrete choice experiment (DCE) study design influence survey response rates. DCEs are a survey‐based method used to elicit preferences for health and health care and are prone to survey errors of coverage, sampling, non‐response and measurement. However, research on DCE response rates is lacking. Our analysis is motivated by a social exchange theory of survey response. We find that DCE response rates are related to the survey's cognitive burden and the relevance to the surveyed population. Copyright © 2016 John Wiley & Sons, Ltd.

Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (11)

Downloads: (external link)
https://doi.org/10.1002/hec.3354

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wly:hlthec:v:26:y:2017:i:6:p:810-817

Access Statistics for this article

Health Economics is currently edited by Alan Maynard, John Hutton and Andrew Jones

More articles in Health Economics from John Wiley & Sons, Ltd.
Bibliographic data for series maintained by Wiley Content Delivery ().