Understanding the Barriers to Paternity Leave Taking: Evidence from Japan

Last registered on February 09, 2025

Pre-Trial

Trial Information

General Information

Title
Understanding the Barriers to Paternity Leave Taking: Evidence from Japan
RCT ID
AEARCTR-0013058
Initial registration date
February 19, 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
April 16, 2024, 3:54 PM EDT

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

Last updated
February 09, 2025, 9:30 AM EST

Last updated is the most recent time when changes to the trial's registration were published.

Locations

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Primary Investigator

Affiliation
National University of Singapore

Other Primary Investigator(s)

PI Affiliation
University of Chicago
PI Affiliation
Boston University
PI Affiliation
University of Tokyo
PI Affiliation
Government of Japan - Economic and Social Research Institute (ESRI)

Additional Trial Information

Status
On going
Start date
2023-10-01
End date
2026-07-31
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Japan has one of the most generous parental leave policies for working parents, yet male employees remain reluctant to take leave. In 2021, only 14% of eligible Japanese fathers took at least one day of paternity leave, and conditional on taking leave, most men take less than two weeks of leave. Men’s reluctance to take paternity leave in Japan has been attributed to several factors such as the prevalence of traditional gender norms that are at odds with men taking on a caregiving role, career concerns surrounding the violation of ideal worker norms, and organizational climate and support for leave-taking. Recent work suggests that even as social norms change, individuals may actively enforce a perceived norm, even if they privately reject the norm because they incorrectly believe that most other people continue to support the norm. In such settings, information about others’ beliefs could help to address underlying misperceptions and speed up the evolution of norms.

This project aims to study the barriers to paternity leave-taking among Japanese men focusing on the role of male employee beliefs about prevailing norms surrounding paternity leave-taking, employer support for leave-taking, and the perceived career impacts of taking paternity leave. Specifically, we will examine whether Japanese men accurately perceive the social norms surrounding paternity leave-taking among various groups that likely matter, as well as employers’ perceptions of the career impacts of paternity leave-taking. We will then assess the impacts of information treatments aimed at addressing misperceptions about others’ beliefs on attitudes and willingness to take-up paternity leave.
External Link(s)

Registration Citation

Citation
Bertrand, Marianne et al. 2025. "Understanding the Barriers to Paternity Leave Taking: Evidence from Japan." AEA RCT Registry. February 09. https://doi.org/10.1257/rct.13058-3.0
Sponsors & Partners

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Experimental Details

Interventions

Intervention(s)
Providing information on the extent of support for paternity-leave taking among various groups (e.g., peers, older generation, employers) and managers’ beliefs about the career impacts of paternity leave-taking to Japanese men.
Intervention Start Date
2024-03-08
Intervention End Date
2024-08-01

Primary Outcomes

Primary Outcomes (end points)
We will conduct three survey experiments among Japanese men to study how information provision about the extent of others’ support and managers’ beliefs about the career impacts of paternity leave-taking affects their attitudes and willingness to take-up paternity leave. Our experimental design will allow us to assess the extent to which misperceptions about the extent of support among various groups (e.g., peers vs. managers) contributes to the low level of paternity-leave taking among Japanese men.

The first survey experiment targets a representative sample of married men who are currently employed. Our outcomes of interest include:
(1) Likelihood of encouraging a male friend who is about to have a child to take different durations of paternity/childcare leave within the first year of the child’s birth. Specifically, we will present a hypothetical scenario about a male friend who is similar in age and education and working for a similar type of company and is deciding about whether to take paternity leave. We will then ask participants, “What advice would you give your friend, specifically, what is the percent chance (or chances out of 100) that you would encourage him to take 0 days, < 1 week, 1 to 2 weeks, 2 weeks to 1 month, 1 month to 3 months, > 3 months, of paternity leave.”

Analysis: Comparing this outcome across the control and treatment groups will provide an estimate of the impact of the information treatment on participants’ attitudes toward paternity leave-taking.

(2) For participants who are planning to have a child in the near future, we will ask the likelihood that they will take paternity leave of various durations within the first year of the child’s birth.

Analysis: Comparing this outcome across the control and treatment groups will provide an estimate of the impact of the information treatment on participants’ intended behavior.

(3) Beliefs about the career impacts of taking paternity leave and managers’ support of paternity leave-taking among their subordinates.

Analysis: Comparing these outcomes across the control and treatment groups will provide an estimate of how beliefs update as a result of the information treatment.

The second survey experiment targets a representative sample of married men who expect/plan to have a baby in the next year (the survey company we are working with has access to such a sample of to-be fathers). We will survey this group of married men at least three times, once before they have a child (baseline survey), another time about 1 month later, and another time a year later after they have had a child (follow-up survey). Funds permitting, we will survey them a third time two years later.

The information treatment will be in the form of an animated video, embedded in the baseline survey, that illustrates pluralistic ignorance regarding paternity leave-taking in the workplace and provides numerical information about the extent of peers’ and managers’ support of paternity leave-taking (obtained from a previous representative survey of married men and middle managers. The outcomes of interest will be intended paternity leave-taking behavior, attitudes toward paternity leave-taking, and gender-role attitudes. For the first follow-up survey 2-3 months after the intervention, the outcomes will be similar to the baseline survey and the aim is to see if the effects on intentions and attitudes persist. For the second follow-up survey after the child is born, the main outcome of interest will be participants’ actual (self-reported) leave-taking behavior. To study belief updating, we will also re-ask questions on participants’ beliefs about the extent of others’ support for paternity-leave taking as well as the career impacts of taking paternity-leave.

The third survey experiment is similar to the first survey experiment and targets a similar sample of married men who are currently employed. The main outcomes of interest are similar to the first survey. The main difference is that the treatment groups will be presented with the information intervention in the form of (1) an animated video, along with numerical information, or (2) the numerical information only, about the extent of peers’ and managers’ support for paternity leave-taking, and there will be two control groups (one shown a placebo video and the other not provided with any information). The aim of the third survey is to assess which aspects of the video treatment influences attitudes toward paternity leave-taking. There will be a follow-up survey about 1 month after the initial survey experiment.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
For the first survey experiment, participants will be randomly assigned into a control group and four treatment groups. The treatment groups will receive varying sets of information about peer support for paternity-leave taking, managers’ support, and managers’ beliefs about the career impacts of taking paternity-leave. This is a pilot experiment (completed in 2024).

The experimental set-up for the second survey experiment (expectant father sample) will be similar, except that this time the information about peer support and manager support for paternity leave-taking will be presented in the form of an animated video with a storyline that illustrates pluralistic ignorance in the workplace setting. The target sample size is 3,000, which will be randomized into a treatment group that is shown the main video and a control group that is shown a placebo video. The planned rollout date for the survey experiment is around 14 Feb 2025.

The third survey experiment (married men sample) has a target sample size of 5,000 with four equal-sized treatment arms: (1) Treatment group shown video with storyline and numerical information, (2) Treatment group shown video with only numerical information, (3) Control group shown placebo video, and (4) Control group with no video and no info. . The planned rollout date for the survey experiment is around 14 Feb 2025.

The information provided to the participants will be obtained from surveys of attitudes and beliefs surrounding paternity leave-taking that we conduct prior to the survey experiments. These “pre-intervention” surveys will be conducted on representative samples of the individuals and managers. These surveys will be used to establish the attitudes surrounding paternity leave-taking in Japan among various groups of individuals and the accuracy of perceptions of others’ beliefs. We will survey married/unmarried men and women between the ages of 25 to 49, older men and women aged 55 and above, as well as middle managers and upper-level managers across a representative set of industries.

Experimental Design Details
Not available
Randomization Method
Randomization will be done by the survey company.
Randomization Unit
Individual
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
N/A
Sample size: planned number of observations
For the first survey experiment, we plan to target up to 5,000 married men between the ages of 25 to 49 who are employed in companies or the government. For the second survey experiment, we plan to target around 3,000 men who expect/plan to have a child sometime in the next year. For the third survey experiment, we plan to target around 5,000 married men who are employees.
Sample size (or number of clusters) by treatment arms
Experiment 1: 1,000 in each treatment arm (1 control group, 4 treatment arms)
Experiment 2: 1,500 in each treatment arm at baseline (1 treatment and 1 control group). Expect attrition in the follow-up samples, with a target sample size of ~800 for the final follow-up.
Experiment 3: 1,250 in each treatment arm at baseline (4 treatment arms: 2 treatment groups and 2 control groups). Expect some attribution in the follow-up samples.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
University of Tokyo
IRB Approval Date
2024-02-09
IRB Approval Number
23-547