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Randomized Field Experiment on Determinants of Self-employed Worker's Participation in Public Pension
Last registered on May 01, 2018

Pre-Trial

Trial Information
General Information
Title
Randomized Field Experiment on Determinants of Self-employed Worker's Participation in Public Pension
RCT ID
AEARCTR-0002944
Initial registration date
April 28, 2018
Last updated
May 01, 2018 10:24 AM EDT
Location(s)

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Primary Investigator
Affiliation
Japan International Cooperation Agency (JICA)
Other Primary Investigator(s)
PI Affiliation
Kobe University
PI Affiliation
Asian Development Bank
Additional Trial Information
Status
On going
Start date
2016-04-11
End date
2021-06-30
Secondary IDs
Abstract
This study aims to investigate the reasons why the take-up rate of the public pension for self-employed workers such as herders in Mongolia is low and find effective policies to increase the take-up rate. We distribute different types of leaflets to local community (bagh) meeting participants with conducting a questionnaire survey to study their impact on take-up rate. We target 690 baghs in eight provinces, stratified at the province level and herder's population share within provinces. We will analyze the impact on take-up and contribution using administrative records.
External Link(s)
Registration Citation
Citation
Sawada, Yasuyuki, Tomoaki Tanaka and Junichi Yamasaki. 2018. "Randomized Field Experiment on Determinants of Self-employed Worker's Participation in Public Pension." AEA RCT Registry. May 01. https://doi.org/10.1257/rct.2944-1.0.
Former Citation
Sawada, Yasuyuki, Tomoaki Tanaka and Junichi Yamasaki. 2018. "Randomized Field Experiment on Determinants of Self-employed Worker's Participation in Public Pension." AEA RCT Registry. May 01. https://www.socialscienceregistry.org/trials/2944/history/28986.
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Experimental Details
Interventions
Intervention(s)
We randomly distribute different kinds of explanatory material about the social insurance. In collaboration with the Social Insurance General Office of Mongolia, we create four sets of leaflets. All of the leaflets include general information about the public pension, along with the following additional information:
(Control) General information about the public pension only,
(Treatment 1) Survivors and disability pension, supplementary to the public pension,
(Treatment 2) Japanese official assistance for the public pension administration for consolidating the trust, and
(Treatment 3) Mobile banking payment for reducing the transaction cost.
Intervention Start Date
2017-03-27
Intervention End Date
2017-10-06
Primary Outcomes
Primary Outcomes (end points)
Our main outcomes are (1) the voluntary social insurance take-up, (2) the payment of the social insurance contributions based on administrative records.
Primary Outcomes (explanation)
Secondary Outcomes
Secondary Outcomes (end points)
Secondary Outcomes (explanation)
Experimental Design
Experimental Design
We distribute different types of leaflets to local community (bagh) meeting participants with conducting a questionnaire survey to study which information can increase take-up. We target 690 baghs in eight provinces, stratified at the province level and herders' population share within provinces from March to October in 2017. When distributing the leaflets, we conduct a survey at the same time to collect basic information such as age and time and risk preferences. We will analyze the impact on take-up and contribution using administrative records covering the data before and after the distribution, which will be available in May/2018.
Experimental Design Details
Not available
Randomization Method
We conducted randomization in office by a computer.
Randomization Unit
The randomization was conducted at the local community level.
Was the treatment clustered?
Yes
Experiment Characteristics
Sample size: planned number of clusters
690 local communities
Sample size: planned number of observations
Approximately 38,000 individuals
Sample size (or number of clusters) by treatment arms
173 local communities control (general information only), 168 local communities treatment 1 (survivors and disability pension), 170 local communities treatment 2 (Japanese official assistance), 179 local communities treatment 3 (mobile banking)
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB
INSTITUTIONAL REVIEW BOARDS (IRBs)
IRB Name
The research ethics committee at the University of Tokyo
IRB Approval Date
2016-07-01
IRB Approval Number
16-68