An Experimental Field Intervention on Parental leave uptake

Last registered on May 09, 2024
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Pre-Trial

Trial Information

General Information

Title
An Experimental Field Intervention on Parental leave uptake
RCT ID
AEARCTR-0013512
Initial registration date
April 26, 2024

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 09, 2024, 1:20 PM EDT

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

Locations

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Primary Investigator

Name
Elena Pisanelli
Affiliation
University of Bologna
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Other Primary Investigator(s)

PI Name
Chiara Monfardini
PI Affiliation
University of Bologna
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PI Name
Margherita Fort
PI Affiliation
University of Bologna
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PI Name
Pietro Biroli
PI Affiliation
University of Bologna
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PI Name
Roberto Nisticò
PI Affiliation
University of Naples Federico II & CSEF
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PI Name
Valeria Zurla
PI Affiliation
University of Naples Federico II & CSEF
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Additional Trial Information

Status
On going
Start date
2023-12-15
End date
2024-12-31
Keywords
Behavior, Gender, Labor
Additional Keywords
Household, Paternity Leave
JEL code(s)
D10, J13, J16, J22
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
This study examines the impact of an information intervention on parental leave uptake for mothers and fathers. The study employs a survey experiment in which participants are randomly assigned, with equal probability, to either the information group or the no-information group. The information group receives details on the positive impact of taking paternity leave on child and couple-related outcomes. The study investigates: (i) whether the information increases the intention to use parental leave for fathers; (ii) whether the information alters the gender division in the length of parental leave that mother and fathers intend to take; (iii) whether the information alters mothers’ preferences for their partners to take parental leave; and (iv) whether these effects vary according to within-couple differences in gender norms and time use.
External Link(s)

Registration Citation

Citation
Biroli, Pietro et al. 2024. "An Experimental Field Intervention on Parental leave uptake." AEA RCT Registry. May 09. https://doi.org/10.1257/rct.13512-1.0
Sponsors & Partners

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Experimental Details

Interventions

Intervention(s)
see experimental design
Intervention Start Date
2023-12-15
Intervention End Date
2024-12-31

Primary Outcomes

Primary Outcomes (end points)
the primary outcomes are take-up of parental leave for mothers and fathers, length of parental leave of mothers and fathers, intention to use parental leave for fathers and mothers, the preference of mothers and fathers for their partner to take parental leave.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
We aim to test for heterogeneity of the effect based on income, demographic characteristics, baseline gender norms and time use allocation within the couple.
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
The study proposes a survey experiment in which participants are randomly assigned, with equal probabilities, to two conditions: one with no information and the other with information on the positive effects of taking parental leave on children and couples. Specifically, the information treatment is administered in two ways: (i) participants are exposed to informational nudges regarding the positive effects of paternity leave uptake, and (ii) participants voluntarily click on a link to read a pamphlet providing additional information on optional paternity leave uptake. This second method of administering the treatment allows for the detection of whether participants click on the link to access additional information on paternity leave, thereby identifying those who are more inclined to take paternity leave and potential compliers. The target population consists of cohabiting couples with at least one cohabiting child, and the oldest child is younger than 11. We aim to test for heterogeneity of the effect based on income, demographic characteristics, baseline gender norms and time use allocation within the couple.
Experimental Design Details
Not available
Randomization Method
The platform where the survey is administered, using a CAWI methodology, randomly assigns responends to one of the two conditions
Randomization Unit
the randomization is at individual level.
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
the total number of individuals is 1,000.
Sample size: planned number of observations
the total number of individuals is 1,000.
Sample size (or number of clusters) by treatment arms
• No information: 500 individuals
• Information (treated): 500 individuals
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Supporting Documents and Materials

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IRB

Institutional Review Boards (IRBs)

IRB Name
Bioethics Committee University of Bologna
IRB Approval Date
2023-11-28
IRB Approval Number
0388055
Analysis Plan