Can Information Influence the Social Insurance Participation Decision of China's Rural Migrants?
Last registered on September 21, 2018

Pre-Trial

Trial Information
General Information
Title
Can Information Influence the Social Insurance Participation Decision of China's Rural Migrants?
RCT ID
AEARCTR-0003265
Initial registration date
September 13, 2018
Last updated
September 21, 2018 12:08 AM EDT
Location(s)
Region
Primary Investigator
Affiliation
Australian National University
Other Primary Investigator(s)
PI Affiliation
World Bank
PI Affiliation
Jinan University
PI Affiliation
Southwestern University of Finance and Economics
Additional Trial Information
Status
Completed
Start date
2015-04-12
End date
2016-12-26
Secondary IDs
Abstract
Over the past two decades, China has experienced significant internal labor mobility, and more than 160 million registered rural residents are now living as migrants in China's cities. Under the "guest worker" system, access to urban social insurance programs by rural migrants has been restricted, and even after legal reforms seeking to expand their participation, migrant participation among in urban health insurance and pension programs remains low. From the 2015 Rural-Urban Migration in China (RUMiC) Survey it is evident that only 31% of migrants were participating in urban pension and health insurance programs. This experiment is designed to understand whether poor understanding of social insurance, both the process of enrolling and costs and benefits, drives the relatively low rates of migrant participation in these programs. The team used the 2015 RUMiC survey as a baseline and then conducted an random information intervention in December 2015 and January 2016 in households of 13 cities where the RUMiC Survey was implemented. The team then evaluated the effect of the information intervention on the social insurance participation of treatment and control respondents using the 2015 and 2016 rounds of the RUMiC survey.

External Link(s)
Registration Citation
Citation
Giles, John et al. 2018. "Can Information Influence the Social Insurance Participation Decision of China's Rural Migrants?." AEA RCT Registry. September 21. https://doi.org/10.1257/rct.3265-1.0.
Former Citation
Giles, John et al. 2018. "Can Information Influence the Social Insurance Participation Decision of China's Rural Migrants?." AEA RCT Registry. September 21. http://www.socialscienceregistry.org/trials/3265/history/34509.
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Experimental Details
Interventions
Intervention(s)
Intervention Start Date
2015-12-07
Intervention End Date
2016-01-29
Primary Outcomes
Primary Outcomes (end points)
actual and intended participation in urban social pension and health insurance programs of rural migrants
Primary Outcomes (explanation)
Secondary Outcomes
Secondary Outcomes (end points)
Secondary Outcomes (explanation)
Experimental Design
Experimental Design
The experiment was conducted based on the RUMiC Survey. Specifically, the baseline survey data are from 13 cities data of the 2015 RUMiC survey. After the 13 cities survey was finished in 2015, in the early December we randomly selected approximately 35% of households from the 13 cities to conduct an information intervention. The intervention consists of delivery of a pamphlet which contains the information of cost, benefits, portability of urban social pension and health insurance programs and the contacts of social-protection bureau in the local cities and short explanation on the information by the fieldworkers. The intervention was finished in the end of January of 2016. In the late March in 2016, we began the 2016 RUMiC Survey, which is the follow-up survey of this experiment. By comparing the baseline and follow-up surveys and the control and treatment groups, we evaluate the effect of the information intervention on social insurance participation.
Experimental Design Details
Randomization Method
Randomization done in office by a computer
Randomization Unit
Household
Was the treatment clustered?
Yes
Experiment Characteristics
Sample size: planned number of clusters
In the baseline survey, 4096 households.
Sample size: planned number of observations
In the baseline survey, 6593 rural migrants aged above 16 and below the retirement age.
Sample size (or number of clusters) by treatment arms
1389 households in the treatment group (i.e. with information intervention), and 2707 in the control group.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB
INSTITUTIONAL REVIEW BOARDS (IRBs)
IRB Name
Australian National University Ethic Committee
IRB Approval Date
2015-12-02
IRB Approval Number
2013/688
Post-Trial
Post Trial Information
Study Withdrawal
Intervention
Is the intervention completed?
Yes
Intervention Completion Date
January 29, 2016, 12:00 AM +00:00
Is data collection complete?
Yes
Data Collection Completion Date
December 26, 2016, 12:00 AM +00:00
Final Sample Size: Number of Clusters (Unit of Randomization)
The baseline sample was 4096 household; the follow up survey has 2903 households left with a 29% of attrition rate.
Was attrition correlated with treatment status?
No
Final Sample Size: Total Number of Observations
4710 rural migrants aged above 16 and below the retirement age. There are missing values in the characteristics of some of these observations.
Final Sample Size (or Number of Clusters) by Treatment Arms
1010 households and 1632 individuals in the treatment group; 1893 households and 3078 individuals in the control group.
Data Publication
Data Publication
Is public data available?
No
Program Files
Program Files
No
Reports and Papers
Preliminary Reports
Relevant Papers