Social norms and career decisions: Experimental evidence on gender and parenthood biases in STEM and non-STEM jobs

Last registered on May 27, 2025

Pre-Trial

Trial Information

General Information

Title
Social norms and career decisions: Experimental evidence on gender and parenthood biases in STEM and non-STEM jobs
RCT ID
AEARCTR-0016071
Initial registration date
May 23, 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
May 27, 2025, 7:18 AM EDT

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

Locations

Region

Primary Investigator

Affiliation
Università degli Studi di Bologna

Other Primary Investigator(s)

PI Affiliation
University of Bologna
PI Affiliation
ESCP Business School

Additional Trial Information

Status
On going
Start date
2025-04-28
End date
2025-06-30
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
This project examines how gender and parental status stereotypes influence expectations and decision-making regarding career advancement in STEM and non-STEM fields. We implement a 2×2×2 vignette-based experiment with a representative sample of Italian adults (N=2500), stratified by gender, age group (19–24, 25–29, 30–34, 35–39), geographic region (North, Center, South and Islands), and education level (with or without a bachelor’s degree). The vignettes systematically vary the protagonist’s gender, parental status, and occupational sector (STEM vs. non-STEM). In each scenario, the protagonist is offered a high-level promotion involving increased salary and prestige, but also longer working hours and frequent travel.
Participants are asked both what they would personally recommend the protagonist do (first-order beliefs) and what they believe others like them would recommend (incentivized second-order beliefs). We hypothesize that respondents will be less likely to recommend the promotion to female protagonists compared to male ones, all else equal. We also expect the presence of children to decrease perceived suitability for promotion, especially for women—consistent with the "motherhood penalty"—while potentially increasing it for men, reflecting the "fatherhood premium."
The expected effect of occupational sector is more ambiguous: gender stereotypes are often stronger in STEM fields, yet the higher prestige and educational investment associated with these careers may counteract bias, particularly among female respondents. Finally, we anticipate that second-order beliefs will reveal more pronounced gendered stereotypes than first-order beliefs, highlighting the social norm component of biased expectations.
External Link(s)

Registration Citation

Citation
Barigozzi, Francesca, Luisa Carrer and Natalia Montinari. 2025. "Social norms and career decisions: Experimental evidence on gender and parenthood biases in STEM and non-STEM jobs." AEA RCT Registry. May 27. https://doi.org/10.1257/rct.16071-1.0
Experimental Details

Interventions

Intervention(s)
The intervention consists of an online survey experiment conducted with a representative sample of 2,500 Italian adults. Each participant is randomly assigned to one of eight vignette scenarios that vary along three dimensions: the gender of the protagonist (male/female), parental status (has children/does not), and occupational sector (STEM/non-STEM). In the vignette, the protagonist is offered a high-level promotion that comes with higher pay and prestige but also longer hours and frequent travel.
Participants are asked two key questions: (1) whether they would personally recommend the protagonist accept the offer (first-order beliefs), and (2) what percentage of similar people (in age, gender, and region) they believe would do so (second-order beliefs). The second-order belief question is incentivized monetarily for accuracy. This design allows the study to identify biases rooted in gender and parental status stereotypes, and to explore the role of social norms and perceived consensus in shaping decision-making.
Intervention (Hidden)
Intervention Start Date
2025-04-28
Intervention End Date
2025-06-30

Primary Outcomes

Primary Outcomes (end points)
Our primary outcomes capture participants’ beliefs about the social advisability of accepting a career promotion, as described in the vignette. Specifically, we measure:
• Second-order belief (SOB): the respondent’s estimate of the percentage of people similar to them (in terms of age, gender, and geographic region) who would recommend accepting the promotion.
• First-order belief (FOB): the respondent’s own likelihood of recommending acceptance of the promotion.
Both outcomes are recorded on a continuous scale from 0 to 100.
In addition to analyzing each outcome separately, we will examine the gap between SOB and FOB. We hypothesize that, on average, participants will perceive others as more conservative than they actually are—i.e., second-order beliefs will tend to reflect greater hesitation toward the promotion than participants’ own recommendations—suggesting the presence of pluralistic ignorance.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
We are collaborating with a professional survey company in Italy to conduct an online survey in which respondents are asked what they think others would do (second-order beliefs) in hypothetical workplace scenarios involving a high-level career promotion and then what they would do (first-order beliefs) in the same situation.
Each respondent is randomly assigned to one of 8 vignette scenarios, varying the protagonist’s:
i. gender (male or female);
ii. parental status (has children or does not have children);
iii. occupational sector (STEM or non-STEM).
This results in 8 (2x2x2) total scenarios, structured as follows:

STEM Non-STEM
No children Scenario 1-F Scenario 2-F
Has children Scenario 3-F Scenario 4-F

STEM Non-STEM
No children Scenario 1-M Scenario 2-M
Has children Scenario 3-M Scenario 4-M

In each vignette, the respondent reads a short scenario in which the protagonist, a worker in a dual-earner household, is offered a high-level promotion. The promotion offers a significant salary increase and higher prestige, but it also involves more responsibility, longer working hours, and frequent business travel.
For example, in the scenario where the protagonist is a woman with no children working in a STEM field, the vignette reads:
“Paolo and Elisa are both 35 years old, have graduated with honors in Computer Engineering, and work for an IT consulting firm. They have no children, no one to help them with household chores, work about the same number of hours, and earn about the same salary.
One day, Elisa is offered the opportunity to become a partner in the company. This choice would guarantee her a leadership role, greater prestige, and a significant salary increase. At the same time, it would also mean more responsibility, a significant increase in working hours, and frequent business trips.
Elisa can choose between:
• Option 1: Accept the offer and embark on a brilliant career as a partner.
• Option 2: Decline the offer and decide to maintain her current work-life balance.
We asked people similar to you in age, gender, and geographic area of residence what advice they would give Elisa.”
Participants are then asked:
• Second-order beliefs: What percentage of people similar to them (in age, gender, and region) they think would recommend that the protagonist accept (or decline) the offer.
• First-order beliefs: How likely it is that they would personally recommend to the protagonist to accept/decline.
Responses to the second-order belief question are incentivized with a small monetary reward if the estimate is sufficiently close to the true average response.
To make each vignette more realistic to the respondent and facilitate identification with the protagonist, we also match the protagonist’s education level to that of the respondent (i.e., with or without degree). Prior research shows that such adjustments increase the plausibility of the scenario and therefore incentivize more realistic responses.
Experimental Design Details
Randomization Method
Each participants is randomly assigned to one of the 8 vignette conditions (2x2x2 design). Randomization is performed at the respondent level within the survey platform.
Randomization Unit
individual respondent
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
We do not have cluster, we have 2500 individuals to be randomly assigned to one of the eight treatments
Sample size: planned number of observations
2500
Sample size (or number of clusters) by treatment arms
about 312 participants per treatments
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Supporting Documents and Materials

Documents

Document Name
Description of the survey experiment
Document Type
other
Document Description
File
Description of the survey experiment

MD5: 50e230acb5e720fab09a9cd33bb4206e

SHA1: 6fa927c1d9c86279bd426697dc7a0a8850257476

Uploaded At: May 23, 2025

IRB

Institutional Review Boards (IRBs)

IRB Name
Comitato di Bioetica Università degli Studi di Bologna
IRB Approval Date
2025-02-13
IRB Approval Number
0048250

Post-Trial

Post Trial Information

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Intervention

Is the intervention completed?
No
Data Collection Complete
Data Publication

Data Publication

Is public data available?
No

Program Files

Program Files
Reports, Papers & Other Materials

Relevant Paper(s)

Reports & Other Materials