Indirect Utility Estimation
Last registered on May 21, 2018

Pre-Trial

Trial Information
General Information
Title
Indirect Utility Estimation
RCT ID
AEARCTR-0002637
Initial registration date
December 12, 2017
Last updated
May 21, 2018 11:37 AM EDT
Location(s)
Primary Investigator
Affiliation
National Taiwan University
Other Primary Investigator(s)
Additional Trial Information
Status
In development
Start date
2018-05-22
End date
2018-07-31
Secondary IDs
Abstract
This experiment attempts to test whether approximations of the indirect utility functions are indeed the same as the indirect utility function implied by the optimized goods -- how we value money prior to deciding what to purchase.
External Link(s)
Registration Citation
Citation
DeJarnette, Patrick. 2018. "Indirect Utility Estimation." AEA RCT Registry. May 21. https://doi.org/10.1257/rct.2637-2.0.
Former Citation
DeJarnette, Patrick. 2018. "Indirect Utility Estimation." AEA RCT Registry. May 21. https://www.socialscienceregistry.org/trials/2637/history/29778.
Experimental Details
Interventions
Intervention(s)
The intervention focuses on how people react to goods and their willingness to exert effort to obtain these items.
Intervention Start Date
2018-05-22
Intervention End Date
2018-07-31
Primary Outcomes
Primary Outcomes (end points)
How many sliders are completed (output or effort), how long the subjects chose to work, how much credit was earned
Primary Outcomes (explanation)
The credit earned is according to a payment scale fully known to the subjects prior to exerting effort.
Secondary Outcomes
Secondary Outcomes (end points)
The prices of the goods selected, other properties of goods selected (category / type, weight, size)
Secondary Outcomes (explanation)
Experimental Design
Experimental Design
This experiment investigates how people value goods and shopping credit.
Experimental Design Details
In this experiment, I investigate whether individuals are willing to exert more or less effort after selecting the goods they wish to purchase. The treated subjects select their own goods among hundreds of thousands on pchome.com.tw, and then may exert effort to earn these items. The control subjects instead first learn how effort translates to PCHome.com credit, may then exert effort, and lastly may select the goods. It's important to note that subjects are allowed to browse PCHome.com at any time they wish.
Randomization Method
Done in office by a computer (javascript code for random number generation)
Randomization Unit
at the individual subject level
Was the treatment clustered?
No
Experiment Characteristics
Sample size: planned number of clusters
100 subjects
Sample size: planned number of observations
100 subjects
Sample size (or number of clusters) by treatment arms
50 subjects in the "credit" treatment, 50 subjects in the "goods" treatment
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB
INSTITUTIONAL REVIEW BOARDS (IRBs)
IRB Name
Research Ethics Office (translation)
IRB Approval Date
2017-07-27
IRB Approval Number
201703HS004
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 and Papers
Preliminary Reports
Relevant Papers