Survey response bias and the ‘privacy paradox’: evidence from a discrete choice experiment
Garrett Glasgow,
Sarah Butler and
Samantha Iyengar
Applied Economics Letters, 2021, vol. 28, issue 8, 625-629
Abstract:
The discrepancy between the stated and revealed value of personal information is frequently referred to as the ‘privacy paradox.’ We test for evidence that survey response bias contributes to the privacy paradox through a discrete choice survey experiment based on hypothetical ride-hailing services, some of which track the rider’s location and share it with third parties. The value that respondents place on their personal location data is measured by the willingness to pay higher prices to avoid rides with location sharing. Our survey experiment compares a within-subjects design in which location sharing was presented as an attribute of the hypothetical rides within each choice scenario to a between-subjects design in which location sharing was not presented as an attribute – instead, the location-sharing practices of the hypothetical firms were presented to a treatment group before the respondents made their choices. On average, survey respondents placed a positive value on their personal location data under both survey designs. The difference in value between the survey designs was statistically insignificant, indicating there is no evidence that the within-subjects design led to the type of survey response bias that might contribute to the privacy paradox.
Date: 2021
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/13504851.2020.1770183 (text/html)
Access to full text is restricted to subscribers.
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:taf:apeclt:v:28:y:2021:i:8:p:625-629
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEL20
DOI: 10.1080/13504851.2020.1770183
Access Statistics for this article
Applied Economics Letters is currently edited by Anita Phillips
More articles in Applied Economics Letters from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().