Natural Disaster Risk and Public Good Provision: Evidence from a Multi-Country Laboratory Experiment

Last registered on September 28, 2026

Pre-Trial

Trial Information

General Information

Title
Natural Disaster Risk and Public Good Provision: Evidence from a Multi-Country Laboratory Experiment
RCT ID
AEARCTR-0019823
Initial registration date
September 27, 2026

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
September 28, 2026, 9:59 AM EDT

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

Locations

Primary Investigator

Affiliation
Kyung Hee University

Other Primary Investigator(s)

PI Affiliation
Cornell University
PI Affiliation
Renmin University of China
PI Affiliation
Hanyang University
PI Affiliation
Sun Moon University
PI Affiliation
Cornell University
PI Affiliation
University of Groningen
PI Affiliation
University of Seoul

Additional Trial Information

Status
In development
Start date
2026-10-12
End date
2026-12-31
Secondary IDs
National Research Foundation of Korea: NRF-2023S1A5A2A03084476
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
This pre-analysis plan (PAP) describes the empirical strategy for a multi-country laboratory experiment investigating the determinants of community investment in public goods aimed at enhancing local resilience under natural disaster risk. The experiment simulates a community of four homogeneous members who generate income through electricity consumption. The decision environment focuses on how community members collectively determine the scale of investment in an Electrical Energy Storage (EES) system as a local public good that preserves the community's capacity for economic activity through mitigating the risk of disaster-induced outages. The experiment is conducted across four countries: South Korea; the United States; China; and Germany, with a minimum total of 960 student participants. Two institutional treatments govern the EES investment decision: in the first treatment (TR1), a standard voluntary contribution mechanism (VCM) is implemented, replicating a pure public goods game. In the second treatment (TR2), each of the four community members independently proposes their preferred EES scale; the community's EES level is then determined by the average of these proposals, with costs shared equally among members. Primary outcome variables include EES contribution levels, in-experiment disaster realizations, individual subjective disaster probability assessments, social norm measures, community-level income and inequality indicators. This PAP specifies directional hypotheses and pre-registers the causal identification strategy for examining how disaster experience, institutional coordination mechanisms, intra- and inter-community comparison, economic inequality, and cross-national cultural factors shape cooperative investment behavior.
External Link(s)

Registration Citation

Citation
Choi, Sunkung et al. 2026. "Natural Disaster Risk and Public Good Provision: Evidence from a Multi-Country Laboratory Experiment ." AEA RCT Registry. September 28. https://doi.org/10.1257/rct.19823-1.0
Experimental Details

Interventions

Intervention(s)
This study examines community investment in Electric Energy Storage (EES) as a local public good under natural disaster risk. Participants are assigned to one of two institutional mechanisms governing community EES investment. In the first treatment (TR1), participants make decentralized voluntary contributions to the EES project. In the second treatment (TR2), participants propose their preferred level of EES investment, and the community-level investment is determined collectively with equal cost sharing. The experiment also varies communities' exposure to natural disaster risk.
Intervention Start Date
2026-10-12
Intervention End Date
2026-12-31

Primary Outcomes

Primary Outcomes (end points)
1. Individual EES contribution/proposal level, measured in each of the three EES investment games.
2. EES contribution rate, defined as the individual contribution normalized by the participant's account balance at the time of the EES decision.
3. Extensive-margin EES participation, defined as an indicator for making a positive contribution or proposal.
4. Total community EES capacity installed in each EES investment game.
Primary Outcomes (explanation)
Individual EES contribution decisions are measured three times for each participant (EES1, EES2, and EES3). Under TR1, the individual outcome is the participant's voluntary contribution to the EES project. Under TR2, the corresponding individual outcome is the participant's proposed EES level.

To facilitate comparisons across participants and institutional settings, we also construct a normalized contribution rate by dividing the individual contribution by the participant's available account balance at the time of the EES decision. The extensive-margin outcome equals one when the participant makes a positive contribution or proposal and zero otherwise.

At the community level, installed EES capacity is calculated from aggregate contributions under TR1 and from the community-level EES quantity determined by the average of individual proposals under TR2.

Secondary Outcomes

Secondary Outcomes (end points)
1. Subjective disaster probability assessment.
2. Changes in subjective disaster beliefs between consecutive EES investment games.
3. Changes in individual EES contributions across EES decision stages.
4. Community earnings and within-community earnings inequality.
5. Individual electricity purchase decisions.
6. In-experiment descriptive and injunctive social norm measures.
7. Decision response time.
8. Post-experiment measures of generalized trust, inequality preferences, redistribution attitudes, attitudes toward EES technology, personal values, and social norm perceptions.
Secondary Outcomes (explanation)
Subjective disaster beliefs are elicited in each EES investment game as the participant's predicted number of disaster rounds out of 20. Belief updating is measured as the change in this assessment between consecutive EES decision stages.

Within-community inequality is measured using the Gini coefficient of cumulative earnings of the four community members. Social norms are measured using descriptive and injunctive norm items on five-point Likert scales. Post-experiment survey measures include generalized trust, inequality and redistribution preferences, attitudes toward EES technology, personal values, and social norm perceptions.

Experimental Design

Experimental Design
We conduct a multi-country computerized laboratory experiment in South Korea, the United States, China, and Germany. Participants are assigned to fixed communities of four members and interact anonymously throughout the experiment.

The experiment consists of a sequence of electricity purchase and community EES investment games. Participants make repeated decisions under natural disaster risk and under one of two institutional mechanisms governing community EES investment. The design allows us to examine how institutional arrangements, disaster experience, risk perceptions, social norms, and economic conditions affect cooperative investment in community resilience.
Experimental Design Details
Not available
Randomization Method
Computerized random assignment. Participants are randomly assigned to experimental sessions and fixed four-person communities. Sessions are allocated to the institutional treatments (TR1 or TR2), with an equal number of sessions planned for each institutional treatment. Communities are additionally assigned to either the stochastic-disaster condition or the no-disaster condition.
Randomization Unit
Experimental session/community. Institutional treatment (TR1 vs. TR2) is implemented at the experimental-session level, with participants randomly assigned to sessions and subsequently to fixed four-person communities. Disaster-risk condition (stochastic disaster vs. no-disaster) is assigned at the community level.
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
240 four-person communities
Sample size: planned number of observations
960 participants
Sample size (or number of clusters) by treatment arms
TR1: 480 participants
TR2: 480 participants
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
The study is designed to detect standardized effect sizes of approximately Cohen's d = 0.25–0.30 for the main outcomes with 80% statistical power at a two-sided significance level of α = 0.05. Power calculations account for clustering at the four-person community level, an assumed intra-class correlation of 0.05–0.10, three repeated EES decision stages per participant, and attrition of up to 20%. The calculations are based on Monte Carlo simulations with 10,000 iterations.
Supporting Documents and Materials

There is information in this trial unavailable to the public. Use the button below to request access.

Request Information
IRB

Institutional Review Boards (IRBs)

IRB Name
Kyung Hee University Institutional Review Board
IRB Approval Date
2026-04-27
IRB Approval Number
KHGIRB-26-221(NA)