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

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
December 14, 2017, 12:30 AM EST

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

Last updated
May 21, 2018, 11:37 AM EDT

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

Locations

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

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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