Mechanisms Behind Responses to Pension Projections

Last registered on July 06, 2026

Pre-Trial

Trial Information

General Information

Title
Mechanisms Behind Responses to Pension Projections
RCT ID
AEARCTR-0019068
Initial registration date
June 29, 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
July 06, 2026, 7:14 AM 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
National Bank of Slovakia

Other Primary Investigator(s)

PI Affiliation
National Bank of Slovakia
PI Affiliation
National Bank of Slovakia

Additional Trial Information

Status
In development
Start date
2026-07-01
End date
2026-12-31
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
We design and conduct a large-scale randomized controlled survey experiment to investigate how individuals perceive future old-age pension income and how pension information affects expectations, confidence, retirement preparedness, behavioural intentions, and policy preferences. The experiment will be fielded after the first nationwide distribution of individualized pension forecasts by the Slovak social-security administration and targets respondents who are not yet receiving an old-age pension. We collect respondents’ expectations about future pension income, confidence in these expectations, understanding of the pension system, receipt and comprehension of the official forecast, financial literacy, zero-sum beliefs, perceived pension adequacy, and views on pension reform and intergenerational fairness. Respondents will be randomized at the individual level to either a control group or one of five information treatments. The treatments provide information about i) average pensions by lifetime-income group, ii) pension projections under alternative inflation scenarios, iii) the decomposition between first- and second-pillar pensions, iv) the disposable-income implications of expected pensions, and v) legislative versus market uncertainty in retirement saving. This design will allow us to test whether different pension-information frames causally affect beliefs, perceived adequacy, behavioural intentions, and support for pension-related policies.
External Link(s)

Registration Citation

Citation
Babecký, Jan , Patrícia Krupová and Vladimír Novák. 2026. "Mechanisms Behind Responses to Pension Projections." AEA RCT Registry. July 06. https://doi.org/10.1257/rct.19068-1.0
Experimental Details

Interventions

Intervention(s)
Intervention Start Date
2026-07-01
Intervention End Date
2026-08-31

Primary Outcomes

Primary Outcomes (end points)
Expected pension-income benchmark deviation, confidence in pension expectations, perceived pension adequacy, zero-sum thinking, retirement-preparation behavioural intentions, and perceived agency over retirement outcomes.
Primary Outcomes (explanation)
Expected pension-income benchmark deviation is captured by the absolute deviation between respondents' post-treatment expected total monthly old-age pension and the relevant income-group benchmark. Confidence in pension expectations is captured by respondents' self-reported confidence in their estimate of their own future old-age pension and, where applicable, by their perceived uncertainty about future retirement income.

Perceived pension adequacy is captured by respondents' assessment of whether their expected future pension income will be sufficient to maintain a decent standard of living in retirement. Zero-sum thinking is captured by an index based on respondents' agreement with survey items measuring whether they view economic gains for one group as implying losses for others. The index will be constructed from the relevant post-treatment items, with higher values indicating stronger zero-sum beliefs.

Retirement-preparation behavioural intentions are captured by respondents' stated likelihood of taking retirement-preparation actions, including starting or increasing voluntary retirement saving, seeking pension-related financial advice, checking information about their second-pillar fund allocation, and adjusting expected retirement timing. Perceived agency over retirement outcomes is captured by the difference between respondents' perceived own influence over their financial situation in old age and their perceived dependence on state decisions, with higher values indicating greater perceived personal agency relative to dependence on the state.

Secondary Outcomes

Secondary Outcomes (end points)
Pension-system attitudes, demand for pension information, willingness to pay for personalized pension information, information avoidance, views on pension reform, intergenerational-fairness attitudes, intended sources of retirement income, investment-risk attitudes related to retirement saving, and exploratory beliefs about artificial intelligence, labour markets, and future pension income
Secondary Outcomes (explanation)
Secondary outcomes include broader pension-system attitudes, demand for pension information, willingness to pay for personalized pension information, information avoidance, views on pension reform, intergenerational-fairness attitudes, intended sources of retirement income, investment-risk attitudes related to retirement saving, and exploratory beliefs about artificial intelligence, labour markets, and future pension income.

We will also analyze treatment-specific manipulation-check and mechanism outcomes. These include whether the information shown to respondents was perceived as surprising relative to prior expectations, whether respondents felt that the information was personally relevant to their own situation, and whether the information made them think about their everyday financial situation in retirement. These outcomes will be used to assess whether the treatments were understood, perceived as relevant, and activated the intended informational or salience channels.

Secondary confirmatory analyses will compare selected treatment arms with each other within the main outcome families. These analyses include pairwise and pooled contrasts across level-information, scenario-uncertainty, pillar-decomposition, consumption-salience, and institutional-uncertainty treatments. The pre-specified secondary contrasts compare:
(i) income-level information and scenario-uncertainty information;
(ii) pooled information provision and pension-pillar reframing;
(iii) economic uncertainty and institutional uncertainty;
(iv) consumption salience and institutional uncertainty;
(v) pooled information treatments and pooled mechanism-oriented treatments; and
(vi) pension-pillar reframing and pooled information treatments.

Experimental Design

Experimental Design
The study is a randomized survey experiment among Slovak residents aged 18–65 who are not currently receiving an old-age or early old-age pension. The main survey targets 6,000 respondents and uses a mixed 80% CAWI and 20% CAPI design with quotas on sex, age, education, settlement size, and region to ensure national representativeness.
The survey first measures respondents’ receipt and understanding of the official 2026 pension forecast letter, pension-system knowledge, financial preparedness, baseline pension expectations, and zero-sum beliefs. Respondents are then randomly assigned to one of six groups: one control group and five information-treatment groups. The control group receives neutral information about the Slovak pension system. The treatment groups are: (1) information on pension benefits by lifetime-income group; (2) pension projections under different economic scenarios; (3) the role of the first and second pension pillars; (4) the consumption implications of expected pension income; and (5) uncertainty in public versus private retirement saving.
After the treatment, we re-elicitate key beliefs and measure treatment reactions, behavioural intentions, attitudes toward pension reforms, and views on intergenerational fairness. Self-reported receipt of the official forecast letter is observed but not randomized and will therefore be analysed as an observational layer.
Experimental Design Details
Not available
Randomization Method
Eligible respondents will be randomly assigned to the control group or one of the five treatment groups by the professional survey agency. Assignment will be computer-generated within the survey platform.
Randomization Unit
Individual respondent.
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
Not applicable; randomization is conducted at the individual respondent level.
Sample size: planned number of observations
6,000 respondents.
Sample size (or number of clusters) by treatment arms
Approximately 1,000 respondents per arm across six experimental arms.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Supporting Documents and Materials

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IRB

Institutional Review Boards (IRBs)

IRB Name
Research Ethics Committee of the National Bank of Slovakia
IRB Approval Date
2026-04-30
IRB Approval Number
2026/01
Analysis Plan

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