Survey experiment on technology use among ride-hail drivers

Last registered on June 30, 2024

Pre-Trial

Trial Information

General Information

Title
Survey experiment on technology use among ride-hail drivers
RCT ID
AEARCTR-0013809
Initial registration date
June 13, 2024

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
June 24, 2024, 1:48 PM EDT

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

Last updated
June 30, 2024, 10:36 AM EDT

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

Locations

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Primary Investigator

Affiliation
National University of Singapore Business School

Other Primary Investigator(s)

PI Affiliation
National University of Singapore

Additional Trial Information

Status
In development
Start date
2024-07-01
End date
2024-07-31
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
We study the deskilling effect of technology on the supply of labor. In previous work, we fielded a vignette experiment embedded in an online survey conducted on a sample of ride-hail drivers in Singapore. The study showed that ride-hail drivers value the use of map apps, and that its loss would lead to a decrease in supply of labor. In this study, we use a similar methodology to delve deeper and investigate valuations of the various capabilities of map and ride-hail apps---basic static route planning, provision of real-time traffic information, identification of where ride-hail demand is high, and facilitating translations of place names into different languages. Our survey also includes an information experiment on autonomous vehicles technology.
External Link(s)

Registration Citation

Citation
Ong, Pinchuan and Ivan Png. 2024. "Survey experiment on technology use among ride-hail drivers." AEA RCT Registry. June 30. https://doi.org/10.1257/rct.13809-1.1
Experimental Details

Interventions

Intervention(s)
Intervention Start Date
2024-07-01
Intervention End Date
2024-07-31

Primary Outcomes

Primary Outcomes (end points)
Willingness-to-pay for the technology shown, and labor supply impact of taking away the technology
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
We field a vignette experiment embedded in an online survey, conducted on a sample of ride-hail drivers in Singapore. We show drivers multiple pairs of vignettes in a within-subject design. In each pair, respondents will be asked whether they would work in each scenario and which of the two scenarios they prefer. In the information treatment experiment, respondents are split into control and treatment groups and shown slightly different details.
Experimental Design Details
Not available
Randomization Method
Randomization is implemented using Qualtrics's randomization feature.
Randomization Unit
Vignette experiments: Within-individual between-vignettes level randomization.
Information treatment experiment: Individual-level randomization.
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
1000 individuals.
Sample size: planned number of observations
Vignette experiments: 1000 individuals * 10 pairs of vignettes * 2 vignettes per pair = 20,000 observations Information treatment experiment: 1000 individuals
Sample size (or number of clusters) by treatment arms
Vignette experiment: On average, 100 observations per each unique vignette scenario (i.e., each technology type by can/cannot use technology condition by commission rate).
Information treatment experiment: 500 per treatment arm
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Supporting Documents and Materials

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IRB

Institutional Review Boards (IRBs)

IRB Name
National University of Singapore Institutional Review Board
IRB Approval Date
2024-06-07
IRB Approval Number
LS-17-090E