Investigating French green savings behavior

Last registered on October 01, 2025

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Pre-Trial

Trial Information

General Information

Title

Investigating French green savings behavior

RCT ID

AEARCTR-0016893

Initial registration date

September 27, 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

October 01, 2025, 7:44 AM EDT

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

Locations

Country

France

Region

Primary Investigator

Name

Gabrielle du Marais

Affiliation

Panthéon Assas

Contact Primary Investigator

Other Primary Investigator(s)

Additional Trial Information

Status

On going

Start date

2025-09-25

End date

2025-11-30

Keywords

Environment & Energy, Finance & Microfinance, Firms & Productivity

Additional Keywords

JEL code(s)

Secondary IDs

Prior work

This trial does not extend or rely on any prior RCTs.

Abstract

This study examines green saving preferences. To this end, the study draws on a survey experiment to be fielded among a representative sample of the French population. Green savings choice & information regarding environmental policies will be randomly provided and we will analyze its impact.

External Link(s)

Registration Citation

Citation

du Marais, Gabrielle. 2025. "Investigating French green savings behavior." AEA RCT Registry. October 01. https://doi.org/10.1257/rct.16893-1.0

Sponsors & Partners

Experimental Details

Interventions

Intervention(s)

We randomly display environmental policies to respondents

Intervention (Hidden)

Intervention Start Date

2025-09-25

Intervention End Date

2025-10-15

Primary Outcomes

Primary Outcomes (end points)

Saving demand, & parameters - convenience yield, expected average returns, expected risk, risk correlation etc. -

Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)

- The support for policies other than the ones randomly shown
- Impact on green choice preferences

Secondary Outcomes (explanation)

Experimental Design

There are 3 main groups of treatments: G1 is the control group G2 & G3 each show a different environmental policy. Each treatment group G is split in two. The treatment corresponding to one treatment group is then shown in a different position in the survey across the two subgroups.

Experimental Design Details

In G1 we ask twice about the green asset demand to look at the impact of choosing the green assets on the green savings demand. At the end of the survey for the G1 subgroup G1b, we assume the implementation of a first ensemble of policies. The aim is to look at its impact on the support for other policies.
In G2 we assume that a second ensemble of policies is implemented towards the beginning of the survey. The primary aim is to look at the impact on green asset demand but also on green asset choice. In the G2a subgroup, that assumption is shown earlier in the survey than in the G2b subgroup to study its impact on support for other policies.
In G2 we assume that a third package of policies is implemented towards the beginning of the survey. The primary aim is to look at the impact on green asset demand but also on green asset choice. In the G3a subgroup, that assumption is shown earlier in the survey than in the G3b subgroup to study its impact on support for other policies.

Randomization Method

Randomization using the survey software randomization tools

Randomization Unit

3 main treatment groups of about 1,000 respondents G1, G2, G3 each divided in 2 subgroups of about 500 respondents

Was the treatment clustered?

Yes

Experiment Characteristics

Sample size: planned number of clusters

3 main treatment groups G1, G2, G3

Sample size: planned number of observations

3 main treatment groups G1, G2, G3 of about 1,000 respondents each.

Sample size (or number of clusters) by treatment arms

3,000 complete answer surveys : 3 main treatment groups G1, G2, G3 of about 1,000 respondents each, each of them divided in 2 subgroups of about 500 respondents each.

Minimum detectable effect size for main outcomes (accounting for sample design and clustering)

Supporting Documents and Materials

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