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Insuring Against Extreme Heat: A Randomised Evaluation

Last registered on April 04, 2025

Pre-Trial

Trial Information

General Information

Title
Insuring Against Extreme Heat: A Randomised Evaluation
RCT ID
AEARCTR-0015728
Initial registration date
April 02, 2025

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 04, 2025, 12:59 PM 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

Affiliation
LSE

Other Primary Investigator(s)

PI Affiliation
LSE
PI Affiliation
LSE
PI Affiliation
World Bank

Additional Trial Information

Status
In development
Start date
2025-04-03
End date
2027-08-31
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
This randomised evaluation tests whether a novel parametric heat insurance scheme can protect informal workers in India from the costs of extreme heat. The intervention, developed by the Self Employed Women’s Association (SEWA), provides automatic daily wage payments to informal workers when local temperatures exceed predetermined thresholds. In partnership with SEWA, we implement a village-level cluster-randomized encouragement design, where SEWA grassroot leaders are incentivized to focus recruitment efforts in randomly selected “priority” villages, whereas control villages receive no directed outreach. We measure the impact on heat-adaptive behaviours, financial coping strategies, and welfare (inc. physical and mental health). We examine heterogeneity in these effects (e.g. by occupation, prior exposure to heat, and access to financial buffers) and explore how impacts vary with the number of insurance payments received. The study also investigates willingness to pay and perceptions of climate insurance, with the aim of informing scalable, climate-responsive social protection.
External Link(s)

Registration Citation

Citation
Jalal, Amen et al. 2025. "Insuring Against Extreme Heat: A Randomised Evaluation." AEA RCT Registry. April 04. https://doi.org/10.1257/rct.15728-1.0
Experimental Details

Interventions

Intervention(s)
This trial studies parametric heat insurance, which provides automatic daily wage payments to informal workers when the local temperature exceeds predetermined thresholds. These payments are delivered automatically to member's bank accounts after the shock.
Intervention Start Date
2025-04-03
Intervention End Date
2025-09-30

Primary Outcomes

Primary Outcomes (end points)
Use of heat-exposure reduction strategies
Use of coping strategies to manage financial distress
Primary Outcomes (explanation)
Extreme heat can have a range of physical, emotional and economic costs including illness, reduced earnings and financial strain. The goal of the RCT is to test whether parametric heat insurance helps protect women from these impacts.

The programme could protect women from extreme heat in multiple ways, for example:

- by encouraging them to take adaptive precautions in anticipation of shocks
- by changing their behaviour on extremely hot days
- by helping them recover from the impact of these hot days

Our primary outcomes capture these behaviours.

Prior to starting data collection, we will upload a document providing more detail.

Secondary Outcomes

Secondary Outcomes (end points)
Mental and physical health (including heat-related health problems)
Healthcare use (expenditure and visits)
Assets and liabilities
Labour supply
Income
Consumption
Climate beliefs
Willingness to pay for heat insurance and perceptions / understanding of insurance
Women's empowerment
Spillover effects (on other household members and non-participants)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
The experiment uses a randomised encouragement design to identify the causal impact of parametric heat insurance. All eligible SEWA members can enrol, but grassroots leaders are incentivised to focus recruitment efforts only in randomly selected treatment villages (n = 2,815). Control villages (n = 2,816) receive no directed outreach. This generates exogenous variation in exposure to programme information and thus take-up.

We will estimate ITT and TOT effects using village-level treatment assignment as an instrument for individual participation. Additional analysis will use a regression discontinuity design around temperature thresholds that trigger payouts, exploiting sharp cutoffs in daily temperature records to estimate causal effects of receiving payouts.

We will test for heterogeneity by occupation, access to credit / savings, income, education, household composition, age, pre-existing health conditions, market and healthcare access, access to adaptive resources and treatment intensity (number of payments received).
Experimental Design Details
Not available
Randomization Method
Randomisation done in office by a computer
Randomization Unit
Village (stratified by number of grassroots leaders operating in a village)
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
5631 villages
Sample size: planned number of observations
10,000 SEWA members (survey sample) + all available administrative records
Sample size (or number of clusters) by treatment arms
2,815 treatment villages, 2,816 control villages.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
London School of Economics & Political Science (LSE) IRB #1
IRB Approval Date
2025-04-02
IRB Approval Number
530185