EconPapers    
Economics at your fingertips  
 

Estimating misreporting in condom use and its determinants among sex workers: Evidence from the list randomisation method

Carole Treibich and Aurélia Lépine ()

Health Economics, 2019, vol. 28, issue 1, 144-160

Abstract: Social desirability bias, which is the tendency to underreport socially undesirable health behaviours, significantly distorts information on sensitive behaviours gained from self‐reports. We applied the list randomisation method to indirectly elicit condom use among female sex workers and tested it among 651 female sex workers in Senegal, a country where sex workers face high social stigma and where the AIDS epidemic is mainly concentrated among this population. On the basis of our list randomisation, we found that the condom use rate in the last sexual intercourse with a client was 78%, which is significantly lower than the 97% obtained when asked directly in the survey. When estimating condom use among the subgroups, we found that female sex workers who are at a higher risk of infection are less likely to use condoms.

Date: 2019
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.3835

Related works:
Working Paper: Estimating misreporting in condom use and its determinants among sex workers: Evidence from the list randomisation method (2019) Downloads
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:28:y:2019:i:1:p:144-160

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 ().

 
Page updated 2025-03-20
Handle: RePEc:wly:hlthec:v:28:y:2019:i:1:p:144-160