Are We Measuring Working Hours Correctly? The Impact of Question Ordering in Surveys
Mikael Beatriz and
Louis-Alexandre Erb
Economie et Statistique / Economics and Statistics, 2026, issue 550, 23-43
Abstract:
[eng] A randomized controlled trial conducted as part of TraCov 2 (a survey investigating people’s experiences of work since the COVID pandemic) allows us to estimate the impact of the order in which questions are asked on respondents’ estimates of their working hours. It appears that respondents report working an average of 23 minutes more per week when they are asked to describe the nature of their working hours (night work, weekend work, work outside normal hours, etc.) before specifying the number of hours they work, instead of the other way around. Furthermore, this gap is most pronounced among higher- and intermediate-level occupations, categories which generally involve long, flexible working hours and frequent remote working. These results suggest that the nature of employees’ working schedules has an influence on their perception of the amount of time they spend working. This opens up new possibilities, not only in terms of improving survey questionnaires, but also for further research into how working hours are measured.
Date: 2026
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.insee.fr/en/statistiques/fichier/9066700/02_ES550_Beatriz-Erb_EN.pdf (application/pdf)
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:nse:ecosta:ecostat_2026_550_2
DOI: 10.24187/ecostat.2026.550.2146
Access Statistics for this article
Economie et Statistique / Economics and Statistics is currently edited by Dominique Goux
More articles in Economie et Statistique / Economics and Statistics from Institut National de la Statistique et des Etudes Economiques (INSEE) Contact information at EDIRC.
Bibliographic data for series maintained by Veronique Egloff ().