Evaluating Longshot Preference in the Field

Last registered on October 18, 2019
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Pre-Trial

Trial Information

General Information

Title
Evaluating Longshot Preference in the Field
RCT ID
AEARCTR-0004790
Initial registration date
September 28, 2019

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
September 30, 2019, 1:31 PM EDT

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

Last updated
October 18, 2019, 3:06 AM EDT

Last updated is the most recent time when changes to the trial's registration were published.

Locations

Country
Singapore
Region
Singapore

Primary Investigator

Name
Songfa Zhong
Affiliation
National University of Singapore
Contact Primary Investigator

Other Primary Investigator(s)

Additional Trial Information

Status
Completed
Start date
2019-10-01
End date
2019-10-16
Keywords
Other
Additional Keywords
Decision Theory, Longshot Preference, Lottery Design, Response Rate
JEL code(s)
Secondary IDs
Abstract
We collaborate with a support team in an Asian University, which provides information technology services to the university community. The support team aims at motivating participation in a crossword game, through which users will master the use of some self-services provided by them. To rise participation rate, each participant will receive a lottery as reward. We design six lotteries and randomly divide the users into six groups. The lottery incentive varies among groups. By comparing the response rate in each group, we can evaluate the longshot preference under the setting of motivating behavior.
External Link(s)

Registration Citation

Citation
Zhong, Songfa. 2019. "Evaluating Longshot Preference in the Field." AEA RCT Registry. October 18. https://doi.org/10.1257/rct.4790-1.1
Sponsors & Partners
Experimental Details

Interventions

Intervention(s)
Intervention Start Date
2019-10-01
Intervention End Date
2019-10-16

Primary Outcomes

Primary Outcomes (end points)
The participation rates in six groups.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
We design six lotteries, which differ in: (1) sources of uncertainty (familiar vs. unfamiliar); (2) skewness of probability; (3) number of prizes; (4) method of probability realization (“randomly draw one out of 100 participants” vs. “bet on the last two digits of some indexes”); (5) vagueness of information (“lucky draw” vs. “win with probability 1%”). We randomly divide all users in six groups. Each group receives one lottery as reward for participation.
Experimental Design Details
Randomization Method
The randomization is done by a computer. For each subject, we generate a random number following standard normal distribution using STATA. After that, we sort the sample according to the value of this random variable. The first one sixth of subjects consist of our first group, and so on.
Randomization Unit
Individual.
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
This study has no cluster.
Sample size: planned number of observations
60,000 people in university, including staff and students.
Sample size (or number of clusters) by treatment arms
10,000 people
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Supporting Documents and Materials
IRB

Institutional Review Boards (IRBs)

IRB Name
NUS Institutional Review Board
IRB Approval Date
2018-08-06
IRB Approval Number
S-18-181E
Analysis Plan

Post-Trial

Post Trial Information

Study Withdrawal

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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