The Impact of Fertility Support Policy on the Second-Childbirth Intentions of Residents: Evidence from Experiments in China

Last registered on April 02, 2024
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Pre-Trial

Trial Information

General Information

Title
The Impact of Fertility Support Policy on the Second-Childbirth Intentions of Residents: Evidence from Experiments in China
RCT ID
AEARCTR-0013244
Initial registration date
March 25, 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 02, 2024, 10:51 AM 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
Chong Lu
Affiliation
Southwestern University of Finance and Economics
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Other Primary Investigator(s)

PI Name
Chong Lu
PI Affiliation
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Additional Trial Information

Status
On going
Start date
2023-01-01
End date
2024-04-30
Keywords
Behavior, Labor, Welfare
Additional Keywords
Fertility Support Policy; Second-Childbirth Intentions; Survey Experimental Method; COVID-19
JEL code(s)
J13, J18, C93
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Relying on two survey experiments in China, this experiment explores the causal effects of the fertility support policy on Chinese residents’ second-childbirth intentions.
External Link(s)

Registration Citation

Citation
Lu, Chong and Chong Lu. 2024. "The Impact of Fertility Support Policy on the Second-Childbirth Intentions of Residents: Evidence from Experiments in China." AEA RCT Registry. April 02. https://doi.org/10.1257/rct.13244-1.0
Sponsors & Partners
Experimental Details

Interventions

Intervention(s)
We constructed an experimental context module including a balanced fertility support model, a traditional fertility support model, and no fertility support model. In other words, the respondents will be randomly divided into three groups: a balanced treatment group, a traditional treatment group, and a control group. The balanced and traditional fertility support models will be displayed in the form of playing videos. In order to ensure that the respondents have a full understanding of the intervention information, the respondents who have received balanced and traditional fertility support models will all answer three questions about the fertility support model shown in the video and the questionnaire data with all wrong answers will not enter the sample data for substantive analysis. The control group will not receive any intervention from the fertility support model but needs to answer the question, “How much is 100+100?”.
Intervention Start Date
2023-02-02
Intervention End Date
2024-03-31

Primary Outcomes

Primary Outcomes (end points)
Fertility intentions
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
We constructed an experimental context module including a balanced fertility support model, a traditional fertility support model, and no fertility support model. In other words, the respondents will be randomly divided into three groups: a balanced treatment group, a traditional treatment group, and a control group. The balanced and traditional fertility support models will be displayed in the form of playing videos. In order to ensure that the respondents have a full understanding of the intervention information, the respondents who have received balanced and traditional fertility support models will all answer three questions about the fertility support model shown in the video and the questionnaire data with all wrong answers will not enter the sample data for substantive analysis. The control group will not receive any intervention from the fertility support model but needs to answer the question, “How much is 100+100?”.
Experimental Design Details
Not available
Randomization Method
randomization done in office by a computer
Randomization Unit
individual
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
4000 individuals.
Sample size: planned number of observations
10,000 residents
Sample size (or number of clusters) by treatment arms
2000 treatment, 2000 control.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Supporting Documents and Materials
IRB

Institutional Review Boards (IRBs)

Analysis Plan