Impact Evaluation of Interventions to Expand Social Security in Jordan

Last registered on February 23, 2024
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Pre-Trial

Trial Information

General Information

Title
Impact Evaluation of Interventions to Expand Social Security in Jordan
RCT ID
AEARCTR-0012975
Initial registration date
February 09, 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
February 14, 2024, 4:58 PM EST

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

Last updated
February 23, 2024, 7:18 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

Name
Jade Siu
Affiliation
University of Reading
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Other Primary Investigator(s)

PI Name
Olivier Sterck
PI Affiliation
University of Antwerp
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PI Name
Silvia Nastasi
PI Affiliation
Development Pathways
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PI Name
Onur Altındağ
PI Affiliation
Bentley University
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PI Name
Diloá Athias
PI Affiliation
Development Pathways
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PI Name
Shea McClanahan
PI Affiliation
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Additional Trial Information

Status
On going
Start date
2023-12-10
End date
2025-03-02
Keywords
Firms & Productivity
Additional Keywords
JEL code(s)
H55, H26, D90, D22
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
This study aims to experimentally test whether information frictions are a significant barrier to social security participation in Jordan.
External Link(s)

Registration Citation

Citation
Altındağ, Onur et al. 2024. "Impact Evaluation of Interventions to Expand Social Security in Jordan." AEA RCT Registry. February 23. https://doi.org/10.1257/rct.12975-1.3
Sponsors & Partners

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Experimental Details

Interventions

Intervention(s)
Disseminating information about social security through different modes of communication.
Intervention Start Date
2024-02-01
Intervention End Date
2024-04-14

Primary Outcomes

Primary Outcomes (end points)
• Registration to social security
• Understanding of social security
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
• Perception of penalties
• Usage of SSC platform and services
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
We randomly assign firms to treatment and control groups within each strata.
Experimental Design Details
Not available
Randomization Method
Stratified randomisation conducted using Stata.
Randomization Unit
Firm
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
Stratified randomisation, no clustering.
Sample size: planned number of observations
Analysis of face-to-face intervention: maximum 1,440 firms using survey data (720 firms in treatment group), and maximum 1600 firms using administrative data (800 firms in treatment group) Analysis of SMS interventions: maximum 43,330 firms using administrative data
Sample size (or number of clusters) by treatment arms
Analysis of face-to-face intervention: maximum 1,440 firms using survey data (720 firms in treatment group), and maximum 1600 firms using administrative data (800 firms in treatment group)
Analysis of SMS interventions: maximum 43,330 firms using administrative data (14,444 firms assigned to receive SMS with positive framing treatment, 14,443 firms assigned to receive loss aversion and risk perception framing)
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Assuming power of 80% and alpha as 5%, the minimum detectable effect sizes are the following: • Impact of face-to-face intervention on outcomes based on survey: 0.15 SD. • Impact of face-to-face intervention on outcomes based on administrative data: 0.14 SD. s.d. • Impact of one of the SMS interventions on outcomes based on administrative data: 0.03SD
Supporting Documents and Materials
IRB

Institutional Review Boards (IRBs)

IRB Name
University of Antwerp
IRB Approval Date
2023-10-23
IRB Approval Number
SHW_2023_126_1
Analysis Plan

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