The Impact of Shock-responsive Social Protection in Fiji

Last registered on November 29, 2025

Pre-Trial

Trial Information

General Information

Title
The Impact of Shock-responsive Social Protection in Fiji
RCT ID
AEARCTR-0013627
Initial registration date
May 15, 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
May 21, 2024, 10:52 AM EDT

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

Last updated
November 29, 2025, 10:41 PM EST

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

Locations

Region
Region

Primary Investigator

Affiliation
Monash University

Other Primary Investigator(s)

PI Affiliation
University of Sydney
PI Affiliation
United Nations University Institute for Environment and Human Security
PI Affiliation
Melbourne Institute: Applied Economic and Social Research at The University of Melbourne

Additional Trial Information

Status
On going
Start date
2025-11-01
End date
2027-06-30
Secondary IDs
SPI-23-01921
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Disaster relief often faces delays due to administrative bottlenecks and approval processes. These delays can last for weeks or even months, exacerbating the challenges faced by vulnerable populations. We study a cutting-edge program in Fiji, where an insurance-based disaster relief mechanism is being integrated into the national social protection system, which facilitates automated payouts and can help stabilize government relief budgets. Fiji is susceptible to climate risks like droughts, extreme rainfall, and, notably, tropical cyclones. Using a cluster randomized controlled trial, we will assess both the ex ante and ex post impacts of natural hazard insurance on the behavior, resilience, and attitudes of climate-vulnerable social protection beneficiaries in Fiji.

Our study promises to offer valuable insights into this pioneering intervention in Fiji and to inform similar initiatives in the broader Pacific region and globally. The findings have the potential to reshape how social protection systems tackle climate-related disasters. Our close collaboration with local partners, including the team rolling out similar insurance across the region, means that our study is likely to result in a tangible policy impact.
External Link(s)

Registration Citation

Citation
Buri, Sinja et al. 2025. "The Impact of Shock-responsive Social Protection in Fiji." AEA RCT Registry. November 29. https://doi.org/10.1257/rct.13627-2.0
Sponsors & Partners

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Experimental Details

Interventions

Intervention(s)
A parametric insurance-based disaster relief mechanism integrated into the national social protection system, with some treatment subjects also exposed to more intensive information about the insurance intervention.
Intervention Start Date
2025-11-01
Intervention End Date
2026-10-31

Primary Outcomes

Primary Outcomes (end points)
See PAP
Primary Outcomes (explanation)
See PAP

Secondary Outcomes

Secondary Outcomes (end points)
See PAP
Secondary Outcomes (explanation)
See PAP

Experimental Design

Experimental Design
We randomize access to the insurance-based disaster relief mechanism at level of a local geographic unit (village or neighborhood), with some treatment subjects also exposed to more intensive information about the insurance intervention.
Experimental Design Details
Not available
Randomization Method
Randomization done in office by a computer program.
Randomization Unit
Main randomization: Local geographic unit (village or neighborhood); within-cluster information randomization: individual (within treatment cluster).
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
We plan for 200 locations (i.e., clusters); villages or neighborhoods.
Sample size: planned number of observations
4,000 social welfare beneficiaries.
Sample size (or number of clusters) by treatment arms
50/50 (100 treatment, 100 control), with treatment arms 50/50 cross-randomized within-cluster with an information intervention.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
See PAP
IRB

Institutional Review Boards (IRBs)

IRB Name
Monash University Human Research Ethics Committee
IRB Approval Date
2024-07-02
IRB Approval Number
43559