Replication Dertwinkel-Kalt and Köster (2020, JEEA)
Last registered on May 21, 2021

Pre-Trial

Trial Information
General Information
Title
Replication Dertwinkel-Kalt and Köster (2020, JEEA)
RCT ID
AEARCTR-0007706
Initial registration date
May 21, 2021
Last updated
May 21, 2021 4:19 PM EDT
Location(s)
Primary Investigator
Affiliation
Heinrich-Heine University Düsseldorf
Other Primary Investigator(s)
PI Affiliation
University of Konstanz
Additional Trial Information
Status
In development
Start date
2021-05-21
End date
2021-05-28
Secondary IDs
Abstract
We replicate Experiment 2 in Dertwinkel-Kalt and Köster, "Salience and Skewness Preferences", Journal of the European Economic Association 18(5), 2020, 2057-2107, using a different subject pool. We implement an additional treatment from Loewenfeld and Zheng (2021) that allows us to control for so-called event-splitting effects.
External Link(s)
Registration Citation
Citation
Dertwinkel-Kalt, Markus and Mats Köster. 2021. "Replication Dertwinkel-Kalt and Köster (2020, JEEA)." AEA RCT Registry. May 21. https://doi.org/10.1257/rct.7706-1.0.
Experimental Details
Interventions
Intervention(s)
In a within-subjects design, we study in how far the choice between a right-skewed and a left-skewed lottery (with the same expected value and the same variance) depends on the correlation of these lotteries and how the correlation interacts with the level of absolute skewness.

In a between-subjects design, we further control for event-splitting effects, as proposed by Loewenstein and Zheng (2021).
Intervention Start Date
2021-05-21
Intervention End Date
2021-05-28
Primary Outcomes
Primary Outcomes (end points)
Proportion of preference reversals from the right-skewed lottery under negative correlation to the left-skewed lottery under positive correlation.
Primary Outcomes (explanation)
Secondary Outcomes
Secondary Outcomes (end points)
Secondary Outcomes (explanation)
Experimental Design
Experimental Design
Each individual makes twelve binary decisions in random order. In each decision the subject chooses between two lotteries that form a Mao pair. A Mao pair is uniquely defined by its expected value (E), its variance (V), its absolute skewness (S), and its correlation structure. One of the lotteries is right-skewed and the other one is left-skewed. We use six different Mao pairs, three of which are rather skewed (i.e., S = 2.7) with E=36 and V=144, with E=72 and V=576, and with E=108 and V=1296, while the remaining three are rather symmetric (i.e, S = 0.6) again with E=36 and V=144, with E=72 and V=576, and with E=108 and V=1296. For each Mao pair subjects choose between the right-skewed and the left-skewed lottery both under perfectly negative correlation and under maximal positive correlation. In one treatment we present the perfectly negatively correlated Mao lotteries in "reduced form", while in the other treatment we artificially split up one of the states to control for event-splitting effects.
Experimental Design Details
Randomization Method
Randomization is done by the computer
Randomization Unit
Individual
Was the treatment clustered?
Yes
Experiment Characteristics
Sample size: planned number of clusters
220 individuals (110 individuals per treatment)
Sample size: planned number of observations
1320 paired choices (660 paired choices per treatment)
Sample size (or number of clusters) by treatment arms
In each treatment: 330 paired choices for symmetric Mao pairs, 330 paired choices for skewed Mao pairs
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
See Dertwinkel-Kalt and Köster (2020) for details
IRB
INSTITUTIONAL REVIEW BOARDS (IRBs)
IRB Name
IRB Approval Date
IRB Approval Number
Post-Trial
Post Trial Information
Study Withdrawal
Intervention
Is the intervention completed?
No
Is 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