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The Cost of Gender Stereotypes
Last registered on October 28, 2019
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Pre-Trial

Trial Information
General Information
Title
The Cost of Gender Stereotypes
RCT ID
AEARCTR-0004900
Initial registration date
October 24, 2019
Last updated
October 28, 2019 1:28 PM EDT
Location(s)

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Primary Investigator
Name
Lucia Corno
Affiliation
Bocconi University
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Other Primary Investigator(s)
PI Name
Michela Carlana
PI Affiliation
Harvard University
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Additional Trial Information
Status
In development
Start date
2019-10-27
End date
2020-06-30
Keywords
Education, Gender
Additional Keywords
JEL code(s)
Secondary IDs
Abstract
In this project, we will implement an experiment on a sample of around 3000 middle school students (11 to 14 years old) enrolled across 14 schools in 7 Italian cities. The experiment is designed to evaluate the cost of gender stereotypes, including self-stereotypes of students, stereotypes induced by peers' and parents' pressure. Students will perform two tasks: the first task involves math multiple-choice questions and the second task literature multiple-choice questions. For each correct question they will get one point and the student with the highest score in the class will get a 10 euro gift card. Before performing the two tasks, each student can choose one task to get double points and therefore increase their likelihood of winning. We will randomly assign the type of information given to students when making this choice to evaluate if students are more likely to choose the gender conforming field under different circumstances. The information shared is designed to create variation in students' beliefs on who will have knowledge of their decisions and on parents' recommendations/ beliefs. The final goal is to evaluate whether there are significant gender differences on the efficiency of this decision making process and how these differences vary considering different information frameworks.
External Link(s)
Registration Citation
Citation
Carlana, Michela and Lucia Corno. 2019. "The Cost of Gender Stereotypes." AEA RCT Registry. October 28. https://doi.org/10.1257/rct.4900-1.0.
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Experimental Details
Interventions
Intervention(s)
Intervention Start Date
2019-10-27
Intervention End Date
2019-12-20
Primary Outcomes
Primary Outcomes (end points)
Choice of the subject for children's experiment: math or literature.
Choice of high-school track for parents' experiment.
Primary Outcomes (explanation)
Secondary Outcomes
Secondary Outcomes (end points)
Secondary Outcomes (explanation)
Experimental Design
Experimental Design
CHILDREN EXPERIMENT: We will randomly assign students at individual level to the six different interventions. The enumerator will provide the same information to all students. However, while completing the survey in the tablets, students will receive the different information for the different treatment groups. With this experiment, we want to understand, first, whether girls (boys) are systematically more likely to pick the gender conforming tasks compared to what would be efficient given their performance in both tasks in the control condition. If so, we would provide evidence of self-stereotypes of students. Second, we want to understand whether social image concerns may push students to behave in a direction closer to the one predicted by gender stereotypes. Third, we want to understand whether girls avoid specific fields, such as math, because they do not want to be the only girls in the group interaction and whether boys boys avoid humanistic field because they don't want to be the only boy in the group interaction. Fourth, we want to see whether prompting children to think about the recommendation from their parents induces them to choose more or less gender stereotypical than children's choice in the control group. Finally, we will study whether informing children that their parents will observe their choice affects their decision.
Experimental Design Details
Not available
Randomization Method
Randomization done with Qualtrics
Randomization Unit
The unit of randomization is the student.
Was the treatment clustered?
No
Experiment Characteristics
Sample size: planned number of clusters
3000 pupils (15 schools)
Sample size: planned number of observations
3000 pupils
Sample size (or number of clusters) by treatment arms
500 students
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
0.14 standard deviations
Supporting Documents and Materials
IRB
INSTITUTIONAL REVIEW BOARDS (IRBs)
IRB Name
Bocconi University
IRB Approval Date
2019-03-14
IRB Approval Number
N/A
Analysis Plan