Achieving more by incentivizing less

Last registered on March 04, 2022

Pre-Trial

Trial Information

General Information

Title
Achieving more by incentivizing less
RCT ID
AEARCTR-0009040
Initial registration date
March 03, 2022

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
March 04, 2022, 9:11 AM EST

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
Monash University

Other Primary Investigator(s)

PI Affiliation
Monash University
PI Affiliation
University of Technology Sydney

Additional Trial Information

Status
In development
Start date
2022-03-04
End date
2022-12-31
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
This project explores the potential spill-over effects on non-incentivized tasks that are placed together with a small number of incentivized tasks. We hypothesize that people may be willing to work on the optional task once they start the incentivized task.
External Link(s)

Registration Citation

Citation
Incekara-Hafalir, Elif, Grace Lee and Erte Xiao. 2022. "Achieving more by incentivizing less." AEA RCT Registry. March 04. https://doi.org/10.1257/rct.9040
Experimental Details

Interventions

Intervention(s)
We design an incentive mechanism aimed at promoting effort.
Intervention Start Date
2022-03-04
Intervention End Date
2022-06-03

Primary Outcomes

Primary Outcomes (end points)
Take-up rate of the quizzes, completion of mandatory and optional tasks, quality of the completed work, when do subjects start to work on the task, and the time taken to complete the tasks.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
Participants are undergraduate students enrolled in the first-year courses. Students are given an option of completing two bonus quizzes in each semester with some mandatory and some optional tasks.
Experimental Design Details
Not available
Randomization Method
Randomization done in office by a computer.
Randomization Unit
Treatments are randomised at tutorial level.
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
12 tutorial groups
Sample size: planned number of observations
Approximately 280 students
Sample size (or number of clusters) by treatment arms
6 tutorial groups in treatment 1; 6 tutorial groups in treatment 2
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
Monash University Human Research Ethics Committee
IRB Approval Date
2022-03-01
IRB Approval Number
Project ID: 21287