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Sibling Gender and its Effect on Education, Occupation, Labor Market Attachment and Behaviour
Last registered on September 03, 2020

Pre-Trial

Trial Information
General Information
Title
Sibling Gender and its Effect on Education, Occupation, Labor Market Attachment and Behaviour
RCT ID
AEARCTR-0005742
Initial registration date
June 01, 2020
Last updated
September 03, 2020 7:32 AM EDT
Location(s)

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Primary Investigator
Affiliation
European University Institute
Other Primary Investigator(s)
Additional Trial Information
Status
In development
Start date
2020-06-02
End date
2022-06-02
Secondary IDs
Abstract
This project wants to address the causal effect of sibling's gender on labor market choices and outcomes. I plan to analyze detailed survey data in order to shed light on the previously found negative effects of having a younger sibling of the opposite gender on earnings.
External Link(s)
Registration Citation
Citation
Reuter, Johanna. 2020. "Sibling Gender and its Effect on Education, Occupation, Labor Market Attachment and Behaviour." AEA RCT Registry. September 03. https://doi.org/10.1257/rct.5742-1.0.
Experimental Details
Interventions
Intervention(s)
Intervention Start Date
2020-06-02
Intervention End Date
2020-06-03
Primary Outcomes
Primary Outcomes (end points)
• Highest education qualification obtained
• Age at first job
• Age at first child
• Age at first marriage
• Percentage of time after age 25 observed in work
• Average log wage for individuals in a 5 year period.
• Fraction of females in the occupation of an individual .
• Fraction of time spent in a STEM occupation out of time spent in occupation.
Primary Outcomes (explanation)
Secondary Outcomes
Secondary Outcomes (end points)
• Average log wage of the partner
• Number of own children
• Index on importance of mother or father
• Index of explicit gender stereotypes
• Index on gender appropriate behaviours
• Index on gender stereotypes within the family
• Implicit association test on gender and stereotypes
Secondary Outcomes (explanation)
For each index I construct I follow the same steps: first, I standardize each of the variables around 0, I then redefine them such that they go in the same direction and I then sum them
Experimental Design
Experimental Design
I look at the effect of the gender of the next-born younger sibling on a first-born child and I do this separately by gender of the first-born child. Hence, I compare first-born women who have a second-born younger brother to first-born women who have a second-born younger sister, and the same for first-born men. This empirical strategy allows me to uncover the causal effect of the gender of one’s sibling, since once one conditions on the gender of the first child the gender of the second child is as good as random.
Experimental Design Details
Not available
Randomization Method
Randomization is done by nature, since the gender of the next born child is as good as random.
Randomization Unit
Individual
Was the treatment clustered?
No
Experiment Characteristics
Sample size: planned number of clusters
Around 7000 individuals
Sample size: planned number of observations
Around 7000 individuals
Sample size (or number of clusters) by treatment arms
Around 7000 individuals
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB
INSTITUTIONAL REVIEW BOARDS (IRBs)
IRB Name
IRB Approval Date
IRB Approval Number
Analysis Plan

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