Public Administrators: Accountability and Anticipatory Policy Preferences

Last registered on November 10, 2025

Pre-Trial

Trial Information

General Information

Title
Public Administrators: Accountability and Anticipatory Policy Preferences
RCT ID
AEARCTR-0017175
Initial registration date
November 04, 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
November 10, 2025, 9:15 AM EST

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

Locations

Region

Primary Investigator

Affiliation
Norwegian University of Science and Technology

Other Primary Investigator(s)

PI Affiliation
University of Oslo

Additional Trial Information

Status
In development
Start date
2025-11-10
End date
2025-12-31
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
When addressing long-term policy challenges, public administrators are perceived to be in a good position to prioritize long-term benefits in the policy process. However, when making decisions about policy solutions with different temporal characteristics, they face difficult trade-offs that complicate the situation. The most common trade-off when implementing anticipatory policies is between felt accountability to the elected political principal, who seeks quick electoral gains, and their felt professional accountability to pursue solutions that may require high upfront costs, but result in long-term benefits. Yet, the way public administrators navigate these inter-temporal trade-offs inherent in anticipatory policy-making has not been explicitly addressed.
Drawing on fundamental insights from politics, economics, and public policy, this project aims to shed light on this decision-making situation by conducting a conjoint survey experiment among a panel of Norwegian public administrators. The design reflects the complex nature of decision-making in social systems, and allows us to examine the relative importance of different factors influencing prioritization choices, such as different inter-temporal trade-offs and accountability relationships.
External Link(s)

Registration Citation

Citation
Blahak, Jana and Nanna Lauritz Schönhage. 2025. "Public Administrators: Accountability and Anticipatory Policy Preferences." AEA RCT Registry. November 10. https://doi.org/10.1257/rct.17175-1.0
Experimental Details

Interventions

Intervention(s)
Conjoint experiment (see analysis plan for details).
Intervention (Hidden)
Intervention Start Date
2025-11-10
Intervention End Date
2025-12-31

Primary Outcomes

Primary Outcomes (end points)
Forced choice and profile rating
Primary Outcomes (explanation)
Respondents choose policy alternatives A or B and are asked to rate the alternatives.

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
This research will utilize a conjoint experiment design. Respondents will evaluate two policy profiles that consist of randomly varied attributes.
Given the estimated sample size (1400) in the Norwegian Panel of Public Administrators, the conjoint design will allow for enough power given the number of attributes in the study, as respondents will have to make 7 repeated decisions. See section supplementary documentation for a detailed explanation of the repeated decision and sample size. Conjoint experiments have also been readily used in the governance literature on the scope of accountability and decision-making behavior.
Experimental Design Details
Randomization Method
Randomization by computer
Randomization Unit
Individual randomization.
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
1400
Sample size: planned number of observations
9800 (19600 for the profile rating).
Sample size (or number of clusters) by treatment arms
Unknown.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
The Norwegian Panel of Public Administrators has roughly 1400 active panellists, we estimate an expected 5% effect size in the Average Marginal Component Effect, and finally decide that the respondents will be asked to make 7 sets of choices (tasks). Given the attribute variable levels (2 investment plan, 2 media coverage, 2 overall expenditure, 3 policy benefit timings, and 2 policy goals), our predicted statistical power is 92%, and as such our experiment has a high chance of finding a statistically significant difference.
IRB

Institutional Review Boards (IRBs)

IRB Name
IRB Approval Date
IRB Approval Number
Analysis Plan

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

Request Information

Post-Trial

Post Trial Information

Study Withdrawal

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

Request Information

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