Banking for Baby Boomers – A Survey Experiment on Internet Banking Training Take-Up

Last registered on February 19, 2026

Pre-Trial

Trial Information

General Information

Title
Banking for Baby Boomers – A Survey Experiment on Internet Banking Training Take-Up
RCT ID
AEARCTR-0017891
Initial registration date
February 19, 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
February 19, 2026, 7:45 AM EST

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

Locations

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

Request Information

Primary Investigator

Affiliation
University of Mainz

Other Primary Investigator(s)

PI Affiliation
University of Mainz
PI Affiliation
Catholic University Eichstätt-Ingolstadt

Additional Trial Information

Status
In development
Start date
2026-02-19
End date
2026-06-01
Secondary IDs
Prior work
This trial is based on or builds upon one or more prior RCTs.
Abstract
Digitalization in banking is leaving elderly clients at risk of losing access to financial services, yet little is known about how to effectively encourage technology adoption at an advanced age. In a companion field experiment (AEARCTR-0013985), we find that while internet banking training is highly effective conditional on participation, take-up of training among the group of elderly non-adopters is very low (2% initial response rate). This survey experiment investigates how the design of training invitation materials can increase older adults’ willingness to participate in internet banking training. We conduct an online survey experiment with around 1,000 German respondents aged 50-75 who do not regularly use internet banking. Respondents are presented with a hypothetical invitation to attend a free internet banking training course. We experimentally vary three dimensions of the invitation: (1) whether the invitation emphasizes the convenience benefits of internet banking usage or addresses common security concerns and barriers (benefit vs. cost framing), (2) whether the invitation includes a testimonial from a previous (hypothetical) training participant, and (3) whether the testimonial features a person of the same or different gender as the respondent (gender matching). Our primary outcome is stated willingness to participate in the advertised training. Secondary outcomes capture perceived benefits, perceived costs and risks of internet banking, trust in the offering institution, the intention to recommend the training to peers, and information demand (whether respondents click on a link to real-world internet banking training resources). Heterogeneity analyses examine whether treatment effects differ by gender, age, education, income, banking activity, responsibility for household finances, and stated barriers to internet banking adoption.

Registration Citation

Citation
Hartinger, Katharina, Erik Sarrazin and David Streich. 2026. "Banking for Baby Boomers – A Survey Experiment on Internet Banking Training Take-Up." AEA RCT Registry. February 19. https://doi.org/10.1257/rct.17891-1.0
Experimental Details

Interventions

Intervention(s)
The intervention consists of experimentally varied invitation flyers for a free internet banking training. All respondents view a flyer inviting them to participate in a hypothetical internet banking course. The flyer is designed to closely resemble the actual invitation materials used in the companion field experiment (AEARCTR-0013985). We vary three treatment dimensions.

Treatment Dimension 1: Content/Framing
Respondents are randomly assigned to one of three content framing conditions:

Control group: The invitation contains a neutral description of the training program without additional framing. It provides basic information about the course (training content, target audience, format, registration deadline) without specifically highlighting benefits or addressing barriers.

Benefits (convenience) framing: In addition to the baseline information, the invitation highlights the practical advantages of internet banking under the header “Why internet banking?”. These include: 24/7 availability, full transparency over account balances and transactions, fast processing of transfers and standing orders, and self-management capabilities (e.g., updating personal data, blocking cards, booking advisory appointments).

Costs (security) framing: In addition to the baseline information, the invitation addresses common barriers and fears under the header “Why internet banking?”. These include: no prior knowledge required, one-time setup effort, TÜV-certified security and fraud protection training, and the continued availability of branch services.

Treatment Dimension 2: Testimonial
A subset of respondents in the benefit and cost framing conditions additionally receives a testimonial from a fictitious previous training participant. The testimonial is displayed alongside an AI-generated photograph of the endorser, depicting an older adult. Testimonials are framing-consistent:

The benefits testimonial highlights convenience gains from training (checking balances from home).
The costs testimonial addresses the reduction of fears and barriers through training (gaining confidence).
Both testimonials have been selected from a set of six testimonials (three for the benefits and three for the costs treatments) in a pre-test based on comprehensibility.

Treatment Dimension 3: Gender Matching
Among respondents who receive a testimonial, we additionally vary whether the depicted endorser is of the same or different gender as the respondent. The photograph pairs (one male, one female) are selected through a pre-test on Prolific to ensure high and comparable levels of perceived trustworthiness, sympathy, and representativeness.
Intervention Start Date
2026-02-19
Intervention End Date
2026-03-15

Primary Outcomes

Primary Outcomes (end points)
The primary outcome is the stated willingness to participate in the advertised internet banking training, measured using two items on a 5-point Likert scale (1 = “Strongly disagree” to 5 = “Strongly agree”):
1) "I would currently sign up for such a training"
2) "I would sign up for such a training in the future"
Primary Outcomes (explanation)
We specify two primary outcome variables. First, a stated-preference measure: an index of willingness to participate, computed as the mean of both items. We will also report results for each item separately. The index captures both current and future-oriented willingness to participate, reflecting the fact that some respondents may not be ready to participate immediately but could be convinced to do so at a later point.

Secondary Outcomes

Secondary Outcomes (end points)
The secondary outcomes capture mechanisms through which the treatments may affect training take-up intentions. All items are measured on a 5-point Likert scale (1 = “Strongly disagree” to 5 = “Strongly agree”) unless otherwise noted:
1) "I consider the practical utility of online banking to be high."
2) "I consider the effort of using online banking to be high."
3) "I consider the risk of online banking to be high."
4) "I consider the risk of NOT using online banking to be high."

Peer recommendation and perceived obligation:
5) "I would recommend this training offer to friends or acquaintances."
6) "I should take the time to participate in such a training."

Mechanism variables (testimonial and framing channels):
7) "The offered training is specifically tailored to people like me."
8) "I have the necessary skills to successfully participate in the training."
9) "I consider the training offer to be trustworthy."

Bank perception:
10) "The bank seems to genuinely care about its customers’ needs."

Information demand:
11) Respondent clicked on the link to the PDF document with real-world internet banking training resources (e.g., VHS adult education courses). Binary (0 = did not click, 1 = clicked)
Secondary Outcomes (explanation)
1) captures perceived usefulness (benefit framing channel).
2) and 3) capture perceived barriers (cost framing channel). 2) and 3) are reverse-coded such that higher values indicate lower perceived barriers for analyses when we potentially construct a net benefit index.
4) captures the perceived risk of not adopting internet banking, which relates to awareness of potential costs from relying solely on branch-based banking (e.g., branch closures, limited availability).

5) captures the potential for peer diffusion of the training.
6) captures the extent to which the invitation creates a sense of obligation or normative pressure to engage with the training.

7) 8) 9) capture potential mechanisms of testimonials and gender matching: 7) captures whether the testimonial increases the perceived fit of the training; 8) captures whether addressing barriers (cost framing) or showcasing success stories (testimonials) increases perceived self-efficacy; 9) captures whether the invitation and/or testimonial increases trust in the training offer.

10) captures whether the different framings affect the perception of the bank as customer-oriented, which may in turn influence willingness to engage with the training offer.

11) is a binary indicator of whether the respondent clicked on the link to a PDF document containing real-world internet banking training resources provided at the end of the survey. This behavioral outcome captures actual information-seeking behavior that is a meaningful precursor to real-world training participation. The link directs respondents to genuine internet banking training information (e.g., from adult education centers / "Volkshochschulen"), ensuring that the measured behavior reflects real interest.


Experimental Design

Experimental Design
We employ a between-subjects design. Respondents are randomly assigned to one of seven treatment arms that result from the combination of three treatment dimensions:

1) No Framing // No Testimonial // N=300
2) Benefits Framing // No Testimonial // N=150
3) Costs Framing // No Testimonial // N=150
4) Benefits Framing // Same gender Testimonial // N=100
5) Benefits Framing // Different gender Testimonial // N=100
6) Costs Framing // Same gender Testimonial // N=100
7) Costs Framing // Different gender Testimonial // N=100

The control group is oversampled (N=300) relative to the individual testimonial arms (N=100 each) to provide sufficient statistical power for pairwise comparisons between each treatment arm and the control, as well as for pooled comparisons of all benefit arms versus all cost arms versus control.

We specify three main analyses, corresponding to the three treatment dimensions:
1) Effect of Content Framing
We test whether benefit or cost framing increases willingness to participate in internet banking training relative to the control group. Specifically, we compare: (a) pooled benefit arms (Arms 2, 4, 5; N=350) vs. control (Arm 1; N=300), (b) pooled cost arms (Arms 3, 6, 7; N=350) vs. control, and (c) non-testimonial benefit arm (Arm 2; N=150) vs. non-testimonial cost arm (Arm 3; N=150) vs. control (Arm 1; N=300). We estimate OLS, logit, and probit regression models of the primary and secondary outcomes on treatment indicators.
2) Effect of Testimonials
We test whether the addition of a testimonial increases the effect of benefit and cost framings. We compare: (a) testimonial benefit arms (Arms 4+5; N=200) vs. non-testimonial benefit arm (Arm 2; N=150), and (b) testimonial cost arms (Arms 6+7; N=200) vs. non-testimonial cost arm (Arm 3; N=150).
3) Effect of Gender Matching
We test whether same-gender testimonials are more effective than different-gender testimonials. We compare: (a) all same-gender arms (Arms 4+6; N=200) vs. all different-gender arms (Arms 5+7; N=200), (b) same-gender benefit arm (Arm 4; N=100) vs. different-gender benefit arm (Arm 5; N=100), and (c) same-gender cost arm (Arm 6; N=100) vs. different-gender cost arm (Arm 7; N=100).

The survey follows a structured sequence of sections:
1. Screening: Age (numeric free text), frequency of internet banking use (5-point scale: never to always), German language proficiency (6-point scale), and gender. Respondents who use internet banking “always” or “frequently”, respondents with insufficient German language skills, and respondents that do not state their gender are screened out, as the intervention targets non- or infrequent users. Respondents reporting diverse/non-binary gender are assigned to the control group since they cannot be randomized into the gender-specific treatment arms.
2. Scenario presentation: Respondents view the randomized invitation flyer from their bank, adapted to the assigned treatment condition.
3. Outcome measurement: Primary and secondary outcome items are collected (see above).
4. Demographics: Highest educational attainment (6 categories), employment status (6 categories), and monthly net household income (6 brackets).
5. Internet banking barriers and attitudes: Reasons for not using internet banking more frequently (multiple choice, max. 3, randomized order), household financial responsibility, technology openness, and general risk attitude.
6. Banking activity: Number of monthly transfers, primary banking channel, distance to nearest branch, frequency of branch visits, and experience with branch closures.
7. Training preferences: Preferred training format (online video, at home with guidance from a trusted person, or in-branch with other customers) and an open-ended question on conditions for regular internet banking use.
8. Information provision: Respondents are presented with a clickable link to a PDF document containing real-world internet banking training resources (e.g., VHS adult education courses). Whether the respondent clicks on this link is recorded as a secondary outcome.


Experimental Design Details
Not available
Randomization Method
Randomization is conducted at the individual respondent level within the online survey platform Qualtrics. After completing the screening section, each eligible respondent is randomly assigned to one of the seven treatment arms.
Randomization Unit
Individual
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
The target sample consists of around 1,000 completed responses from German respondents aged 50-75 who do not use internet banking frequently (i.e., who report using internet banking “never,” “seldom,” or “occasionally”). Respondents are recruited through the online panel provider Bilendi with demographic targeting for age.
Sample size: planned number of observations
The target sample consists of around 1,000 completed responses from German respondents aged 50-75 who do not use internet banking frequently (i.e., who report using internet banking “never,” “seldom,” or “occasionally”). Respondents are recruited through the online panel provider Bilendi with demographic targeting for age.
Sample size (or number of clusters) by treatment arms
Respondents are randomly assigned to one of seven treatment arms:
1) No Framing // No Testimonial // N=300
2) Benefits Framing // No Testimonial // N=150
3) Costs Framing // No Testimonial // N=150
4) Benefits Framing // Same gender Testimonial // N=100
5) Benefits Framing // Different gender Testimonial // N=100
6) Costs Framing // Same gender Testimonial // N=100
7) Costs Framing // Different gender Testimonial // N=100
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
Joint Ethics Committee of the Faculty of Economics and Business of Goethe University Frankfurt and Johannes Gutenberg University Mainz
IRB Approval Date
2026-02-06
IRB Approval Number
N/A