The effect of uncertainty about future CO2-prices on green investments of retail investors

Last registered on January 31, 2024

Pre-Trial

Trial Information

General Information

Title
The effect of uncertainty about future CO2-prices on green investments of retail investors
RCT ID
AEARCTR-0012896
Initial registration date
January 29, 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
January 31, 2024, 12:15 PM EST

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

Locations

Region

Primary Investigator

Affiliation
University of Mannheim

Other Primary Investigator(s)

PI Affiliation
University of Mannheim/ZEW
PI Affiliation
U. Bochum
PI Affiliation
ZEW / U. Mannheim

Additional Trial Information

Status
In development
Start date
2024-01-29
End date
2024-03-29
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
We study the effect of uncertainty about future CO2-prices on the green investment behavior of retail investors.
External Link(s)

Registration Citation

Citation
Bucher-Koenen, Tabea et al. 2024. "The effect of uncertainty about future CO2-prices on green investments of retail investors." AEA RCT Registry. January 31. https://doi.org/10.1257/rct.12896-1.0
Experimental Details

Interventions

Intervention(s)

Intervention (Hidden)
Description of research question, experimental design, sample, and ex-ante hypothesis:

We conduct a survey and experiment with individuals who have stock-market experience to study the effect of uncertainty about future CO2-prices on green investment decisions. Prior to our main survey, we surveyed experts about their expectations about future CO2-prices. The participants of our main survey are exposed to some of the results of this prior survey with experts.

All participants are informed about the experts' average/median CO2-price expectation for the year 2030. Participants in different treatment arms are exposed to the probability estimates of different groups of experts that the realized CO2-price will indeed be in a bandwith around the average expectation. The objective of the experimental part is to randomly generate high or low uncertainty about future CO2-prices (i.e., the second moment), while keeping average expectations (i.e., the first moment) constant. Our survey-experimental design is inspired by Coibion et al. (2023, ECMA), Coibion et al. (2023, AER) and Mikosch et al. (forthcoming, AEJ Macro).

We will have three randomized groups: a control group that is only exposed to the average/median expectation of the experts; group "low uncertainty" that is exposed to the average/median expectation, plus information that one group of experts believe that there is a 70% probability that the CO2-price in 2030 will be in a bandwith around the median expert expectation; group "high uncertainty" that is exposed to the average/median expectation, plus information that one group of experts believe that there is a 15% probability that the CO2-price in 2030 will be in a bandwith around the median expert expectation.

The main outcome variable is a question in which survey participants are asked to decide whether they invest an hypothetical amount of money in a conventional fund or a fund that is certified to be sustainable. We also elicit prior and posterior beliefs about CO2-prices and the likelihood that certain CO2-prices will realize, and have several questions on financial literacy and experience with green finance.

Sample:
Type of survey participants that we want in the sample: German retail investors who invest in stocks or funds and currently live in Germany
Sample size: 2500
40% female
60% male
Age group distribution: about 1/3 each for 18-35 years old, 36 – 50 years old, and 51 - 65 years old population group

Two attention checks: First one, at least select two correct answers out of three in three multiple choices. Second one, at least select two correct answers out of three in five multiple choices. If not passed, they will be screened out. The attention check questions are rephrased neutrally.

Subgroups we are particularly interested in: Low (sustainable) financial literacy and high (sustainable) financial literacy; understanding of CO2 price

Other sources of heterogeneity: Social demographic variables, such as, age, gender, region (Bundesland), education, income.

Aside from analyzing the treatment effect, we are also interested in reporting descriptives, for example with respect to the following variables: (sustainable) financial literacy, green investment behavior, sustainable investment and climate change perceptions, expectation of the CO2 price, perception of fees, returns and risk between sustainable funds and conventional funds.

Main ex-ante hypothesis:
We expect that we see less green investment if uncertainty about the 2030 CO2-price is high, relative to a situation with lower uncertainty about the 2030 CO2-price. Our ex-ante hypothesis with a clear sign (i.e., green invest|high uncertainty < green invest|low uncertainty) allows for one-sided statistical tests to compare the two main treatment groups.
Intervention Start Date
2024-02-01
Intervention End Date
2024-03-29

Primary Outcomes

Primary Outcomes (end points)
Survey question in which participants decide if they wish to invest a hypothetical amount of 10,000 EUR either into a conventional fund or a fund that is certified to be sustainable.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
We may also study the effect of uncertainty on the perceived risk and returns of green investments.
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
Particpants fill out a survey relating to CO2-prices.
Experimental Design Details
See above field "Intervention (Private)"
Randomization Method
By computer.

Specifically: We create 5 random numbers before the treatment in the survey. Participants are not able to see these random numbers, because it is hidden. Participants receiving the number 1 and 2 are the high uncertainty group. Number 3 and 4 -> Low uncertainty group. Number 5 -> control group. Basically, we have then 40% for the high uncertainty group and 40% for the low uncertainty group. 20% for control group.
Randomization Unit
Individual
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
2500
Sample size: planned number of observations
2500
Sample size (or number of clusters) by treatment arms
40% of participants in group "low uncertainty", 40% of participants in group "high uncertainty", 20% of participants in control group.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
We base the power analysis on a previous survey on CO2-price uncertainty that we embedded in the German Internet Panel (GIP). The outcome variable there was an absolute EUR amount, rather than a dummy variable that we have here in the present experiment. The power analysis reveals that we need 1366 observations, spread over the two groups "high uncertainty" and "low uncertainty", to detect a 10% effect size for high uncertainty relative to low uncertainty. Specifications of the power analysis: Power (1-ß): 0,80; Type I error rate: 0,05; Equally Sized Groups; One-sided test
IRB

Institutional Review Boards (IRBs)

IRB Name
German Association for Experimental Economic Research e.V.
IRB Approval Date
2024-01-25
IRB Approval Number
jAHoqzDC

Post-Trial

Post Trial Information

Study Withdrawal

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Intervention

Is the intervention completed?
No
Data Collection Complete
Data Publication

Data Publication

Is public data available?
No

Program Files

Program Files
Reports, Papers & Other Materials

Relevant Paper(s)

Reports & Other Materials