Perceptions of workplace sexual harassment and support for policy action

Last registered on February 19, 2026

Pre-Trial

Trial Information

General Information

Title
Perceptions of workplace sexual harassment and support for policy action
RCT ID
AEARCTR-0013205
Initial registration date
February 17, 2026

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 19, 2026, 7:31 AM EST

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

Locations

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Primary Investigator

Affiliation
University of Warwick

Other Primary Investigator(s)

PI Affiliation
University of Warwick

Additional Trial Information

Status
In development
Start date
2026-02-18
End date
2026-06-18
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Workplace sexual harassment is highly prevalent and harms women and the economy. We survey the UK population to provide the first estimates under a single definition of the prevalence of sexual harassment, its harms, people’s awareness of sexual harassment law, and indicators of policy effectiveness including reporting and redressal. In a separate survey, we elicit participants’ beliefs over these quantities and document the distribution of beliefs. We then experimentally vary information on prevalence, harms and policy (in)effectiveness and estimate impacts on indicators of stated and revealed preferences for policy and civil society action. Finally, we compare policymakers’ beliefs with citizens’.
External Link(s)

Registration Citation

Citation
Bhalotra, Sonia and Matthew Ridley. 2026. "Perceptions of workplace sexual harassment and support for policy action." AEA RCT Registry. February 19. https://doi.org/10.1257/rct.13205-1.0
Experimental Details

Interventions

Intervention(s)
We randomize participants across three different experimental conditions. In a control condition, participants do
not receive information about workplace sexual harassment. In our two treatment conditions, we provide participants with evidence drawn from our benchmarks survey. Our treatment conditions are as follows:
1. A ‘prevalence and harms’ treatment in which participants receive information on the prevalence of sexual harassment (the Prevalence Information) followed by information on the harms from sexual harassment (the Harms Information).
2. A treatment condition in which participants receive the Prevalence Information, the Harms Information, and additional Policy Effectiveness Information (in that order).

Further details on our experimental design are available in our pre-results registered report.
Intervention Start Date
2026-02-24
Intervention End Date
2026-03-24

Primary Outcomes

Primary Outcomes (end points)
1. A revealed-preference donation to help sexual harassment survivors
2. The support for 5 policy changes relevant to sexual harassment (quotas for female managers, disclosure in employer references, banning non-disclosure agreements on sexual harassment, fining firms for sexual harassment and whistleblower protection), combined into an inverse covariance-weighted index
3. Signatures on petitions calling for each of the five policy changes above
4. Prioritization (ranking) of sexual harassment relative to other policy issues
5. Willingness to avoid male-dominated jobs, and personalized risk perceptions
6. Willingness to report sexual harassment
Primary Outcomes (explanation)
Further details on our experimental design are available in our pre-results registered report (attached).

Secondary Outcomes

Secondary Outcomes (end points)
Posterior (post-information) beliefs about the prevalence and harms from sexual harassment.
Qualitative questions about whether men in one's workplace would feel uncomfortable talking to women because of the risk innocent behaviours are perceived as sexual harassment; whether respondents would advise women to avoid certain industries due to harassment risk; whether they see risk in pairing female employees with male mentors; and views on whether anti-harassment training is a good use of time.
Secondary Outcomes (explanation)
Further details on our experimental design are available in our pre-results registered report (attached).

Experimental Design

Experimental Design
We conduct three surveys on the platform Prolific. We start with a benchmarks survey of participants’ own experiences, which we use to generate ‘ground truths’. Using an explicit and consistent definition of sexual harassment, this survey asks participants whether they have been sexually harassed at work. We ask harassment victims if they believe that it affected their career and mental health in specific ways, whether they reported the case, whether they were satisfied with the outcome if they did, and whether they were aware of their legal rights. We also ask participants if they would take a lower paying job to avoid sexual harassment risk. This survey is run on a sample of 800 participants (both male and female) who do not participate in subsequent surveys.

Our second, main survey elicits participants’ prior beliefs over prevalence and harms in the broader population and their perception of policy effectiveness. It randomizes information treatments across respondents, and then measures changes in policy support outcomes, and posterior beliefs. Our third survey is an obfuscated follow-up survey with the same participants as our main survey, conducted up to one month later, to measure outcomes again to assess persistence of any effects of the treatments. The questions in the follow-up are embedded in questions about unrelated matters in order to limit concerns about experimenter demand.

We also run our perceptions survey on policymakers. For this purpose, we define policymakers broadly to refer not only to legislators, but also to those who advise and prepare policy briefs for legislators (and therefore may influence the way they vote) as well as civil servants who may have leeway to determine policy implementation, monitoring and regulation. Our sample will be drawn from the survey pool that has recently been created at the Policymakers Lab at Warwick Business School .This includes approximately 250 policymakers, principally from the UK, US and Australia, who have previously expressed interest in taking surveys for academic research. In this survey, firstly, we will administer the same questions on prior beliefs about prevalence and harms of sexual harassment (in the policymakers’ own country) as for our Prolific sample. Secondly, we will ask policymakers to predict the proportion of people in our Prolific sample who indicated support for each of the policies described in 'Primary Outcomes' above. Policymakers will be asked to predict this quantity for those in the pure control group and, if not from the UK, asked if they expect the proportion in their own country to be substantially higher or lower. Thirdly, for UK-based policymakers we will elicit policymaker perceptions of the public’s knowledge of sexual harassment victims’ legal rights and the employment tribunal process. Specifically, policymakers will guess the percentage of true/false questions about the tribunal process which the average Prolific respondent answered correctly in our benchmarks survey. We also obtain a hypothetical measure of how policymakers expect information on sexual harassment to influence legislation. After asking policymakers to estimate sexual harassment prevalence, its harms, public knowledge of legal rights and policy support, we ask each policymaker what they think the largest each quantity could possibly be is. We then ask them to imagine that their country’s legislators learned credible information that this was the true value and, if so, whether they predict new legislation would be passed.

Further details on our experimental design are available in our pre-results registered report (attached).



Experimental Design Details
Not available
Randomization Method
Randomization will be done by computer, using Qualtrics survey software.
Randomization Unit
Individual
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
6000 participants on Prolific
Up to 250 policymakers (depending on response rates)
Sample size: planned number of observations
6000 participants on Prolific Up to 250 policymakers (depending on response rates)
Sample size (or number of clusters) by treatment arms
Participants on Prolific: 2000 in each of one control and two treatment arms
Policymakers are not randomized into treatment arms.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Supporting Documents and Materials

Documents

Document Name
Pre-results registered report
Document Type
other
Document Description
This registered report describes our experimental design and analysis plan in more detail. It was stage-1 accepted (pre-results) at the Journal of Political Economy: Microeconomics.
File
Pre-results registered report

MD5: 1a636fbea5a777d68a29f866153c3201

SHA1: ea98427e9643e34b653a7dc89bb21bbc3c4a5049

Uploaded At: February 17, 2026

IRB

Institutional Review Boards (IRBs)

IRB Name
Humanities and Social Sciences Research Ethics Committee, University of Warwick
IRB Approval Date
2026-02-11
IRB Approval Number
HSSREC 106/25-26
Analysis Plan

Analysis Plan Documents

Pre-Analysis Plan

MD5: 8f439dbf5728c08762731b90f4066b58

SHA1: 62d07c354029ddcb15b46fcd08af1f1cfd1a0df9

Uploaded At: February 17, 2026