Ambiguity as a Determinant of Discounting
Last registered on September 28, 2019


Trial Information
General Information
Ambiguity as a Determinant of Discounting
Initial registration date
August 16, 2019
Last updated
September 28, 2019 7:06 AM EDT

This section is unavailable to the public. Use the button below to request access to this information.

Request Information
Primary Investigator
University of Bonn
Other Primary Investigator(s)
Additional Trial Information
In development
Start date
End date
Secondary IDs
Decisions with outcomes realizing in the future inherently contain ambiguity. This suggest a natural link between ambiguity and intertemporal behavior. Based on this, I investigate whether ambiguity attitudes shape intertemporal decision-making using a laboratory experiment. A key feature of my design is that I jointly elicit ambiguity attitudes as well as discounting behavior over a consumption good. Importantly, I exogenously vary the timing of receiving the good and, independently, the ambiguity over the utility of consuming the good. This allows me to quantify the change in ambiguity over time and causally measure its impact on discounting behavior.
External Link(s)
Registration Citation
Henkel, Luca. 2019. "Ambiguity as a Determinant of Discounting." AEA RCT Registry. September 28.
Sponsors & Partners

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

Request Information
Experimental Details
Laboratory experiments to study the relationship of ambiguity attitudes and intertemporal behavior.
Intervention Start Date
Intervention End Date
Primary Outcomes
Primary Outcomes (end points)
The study contains three main outcome variables:

1) Index of discounting behavior, which measures subjects discount factor
2) Index of ambiguity aversion, which measures subjects preference over ambiguity
3) Index of the perceived level of ambiguity/ambiguity-generated insensitivity, which measures subjects perception of ambiguity
Primary Outcomes (explanation)
Secondary Outcomes
Secondary Outcomes (end points)
Secondary Outcomes (explanation)
Experimental Design
Experimental Design
Subjects make choices using choice lists. The use of choice lists allows the identification of the three main behavioral indices, which form the primary outcomes.
Experimental Design Details
Not available
Randomization Method
The selection of the payoff-relevant subject will be done by drawing the corresponding cabin number from a deck consisting of the cabin numbers of all subjects participating.

The selection of the payoff-relevant choice of the selected subject will be done computerized.
Randomization Unit
Individual randomization
Was the treatment clustered?
Experiment Characteristics
Sample size: planned number of clusters
Sample size: planned number of observations
Invitations will be send in order to archive a sample size of 264 subjects,
Sample size (or number of clusters) by treatment arms
264 (within-subject design)
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB Name
IRB Approval Date
IRB Approval Number