Remote Work, Time Use, and Gender Norms

Last registered on October 30, 2025
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Pre-Trial

Trial Information

General Information

Title
Remote Work, Time Use, and Gender Norms
RCT ID
AEARCTR-0015316
Initial registration date
February 07, 2025

Initial registration date is when the trial was registered.

It corresponds to when the registration was submitted to the Registry to be reviewed for publication.

First published
February 12, 2025, 10:04 AM EST

First published corresponds to when the trial was first made public on the Registry after being reviewed.

Last updated
October 30, 2025, 8:51 AM EDT

Last updated is the most recent time when changes to the trial's registration were published.

Locations

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Primary Investigator

Name
Elena Stancanelli
Affiliation
Paris School of Economics
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Other Primary Investigator(s)

PI Name
Arthur Van Soest
PI Affiliation
Econometrics Department, Tilburg University, the Netherlands
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PI Name
Andreas Kotsadam
PI Affiliation
Oslo Frisch Center
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PI Name
Mette [email protected]
PI Affiliation
Oslo MET (Oslo Metropolitan University)
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PI Name
Nicolas Moreau
PI Affiliation
University Saint Denis La Reunion
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Additional Trial Information

Status
In development
Start date
2025-03-15
End date
2026-05-31
Keywords
Behavior, Gender, Labor
Additional Keywords
Unpaid Household Work, Household Chores, Work from Home, Gender Norms
JEL code(s)
J22 Time Allocation and Labor Supply; J16 Economics of Gender; D1 Household Behavior and Family Economics;
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Following the Covid-19 pandemics, with its lockdowns, school closures, and distancing measures, Work from Home (WfH) has fast developed and is predicted to remain widespread in the future labour markets. This has profound and long-lasting implications for household daily life and inequality within and across households, which have not yet been fully grasped. While many jobs cannot be performed at home, WfH may provide implicit incentives (by its location, at home) for men to do more unpaid household work and childcare. On the other hand, it may create a “triple” burden for women, as the location of paid work at home may further add to the “double-burden” of women, working for pay and also performing most unpaid family tasks. Gender norms may come into play. The gender gap in unpaid household work and care is stubbornly persistent over time. Our study is designed to gather observational evidence on these issues.
External Link(s)
Our study will be run as a supplementary survey of the LISS (Longitudinal Internet studies for the Social Sciences), run at Tilburg University, in the Netherlands.
The French Nartional Research Agency funded our study as project ANR-24-CE41-5106.

Registration Citation

Citation
Kotsadam, Andreas et al. 2025. "Remote Work, Time Use, and Gender Norms." AEA RCT Registry. October 30. https://doi.org/10.1257/rct.15316-2.1
Sponsors & Partners

Sponsors

Experimental Details

Interventions

Intervention(s)
We have designed an online survey with a randomised intervention to capture the relation between work from home and individual daily life.
Intervention Start Date
2025-03-15
Intervention End Date
2025-05-31

Primary Outcomes

Primary Outcomes (end points)
Attitudes and preferences for Work from Home, Household Chores, Childcare, Multitasking.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
Work from Home may provide implicit incentives (by its location, at home) for men to do more unpaid household work and childcare. On the other hand, it may create a “triple” burden for women, as the location of paid work at home may further add to the “double-burden” of women, working for pay and also performing most unpaid family tasks. Gender norms may come into play here, as they drive the gender gap in unpaid household work and care which is stubbornly persistent over time. Our study is designed to gather observational evidence on these issues.
Experimental Design Details
Not available
Randomization Method
Randomization is done by the LISS survey programmers. The LISS is the Longitudinal Survey for Social Sciences run at Tilburg University. They regularly collect survey modules and implement additional supplement like this one, following standard GDPR procedures.
Randomization Unit
The online LISS survey is addressed to individuals. The randomization is done at the individual level.
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
LISS Sample representative of the Dutch population, and we restrict respondents age to 20-70. The online LISS survey is expected to reach about 3,500-4,000 respondents.
Sample size: planned number of observations
The online LISS survey is expected to reach about 3,500-4,000 respondents.
Sample size (or number of clusters) by treatment arms
LISS Sample is representative of the Dutch population, and we restrict respondents age to 20-70. The online LISS survey is expected to reach about 3,500-4,000 respondents.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Anything below ten per cent two-sided statical significance level will be interpreted as a non-significant effect. The answers to the Vignette module are based on a Likert scale, with six points/possible answers ( from certainly agrees to absolutely disagrees). For the analysis, we may use the Likert scale as a continuous variable, but also aggregate the negative/positive replies and create dummy variables 0,1. We will use regression analysis, including and excluding controls for individual socio-characteristics and family composition, main activity, gender. We will also control for WfH and time uses in some of the regressions (heterogeneity, robustness checks). We will include all the results in the study, along with the p-values. Anything below ten per cent two-sided statical significance level will be interpreted as a non-significant effect.
Supporting Documents and Materials

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IRB

Institutional Review Boards (IRBs)

IRB Name
Paris School of Economics
IRB Approval Date
2025-02-11
IRB Approval Number
2025-007
Analysis Plan

Analysis Plan Documents

Analysis Plan

MD5: 35f01cbfc3e187c9d31eb213c2f548a8

SHA1: 2bd2a7157b7be7ce8602a75bb7493897566115a1

Uploaded At: February 07, 2025