Driver Recruiting and Performance Incentives

Last registered on May 16, 2017
View Trial History

Pre-Trial

Trial Information

General Information

Title
Driver Recruiting and Performance Incentives
RCT ID
AEARCTR-0002220
Initial registration date
May 16, 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
May 16, 2017, 2:06 PM EDT

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

Locations

Country
United States of America
Region

Primary Investigator

Name
Sydnee Caldwell
Affiliation
UC Berkeley
Contact Primary Investigator

Other Primary Investigator(s)

Additional Trial Information

Status
In development
Start date
2017-06-01
End date
2017-12-31
Keywords
Labor
Additional Keywords
JEL code(s)
Secondary IDs
Abstract
This project will provide experimental estimates of the extensive margin labor supply elasticity and the elasticity of performance with respect to the wage.
External Link(s)

Registration Citation

Citation
Caldwell, Sydnee. 2017. "Driver Recruiting and Performance Incentives." AEA RCT Registry. May 16. https://doi.org/10.1257/rct.2220-1.0
Former Citation
Caldwell, Sydnee. 2017. "Driver Recruiting and Performance Incentives." AEA RCT Registry. May 16. https://www.socialscienceregistry.org/trials/2220/history/17662
Sponsors & Partners
Experimental Details

Interventions

Intervention(s)
Intervention Start Date
2017-06-01
Intervention End Date
2017-12-31

Primary Outcomes

Primary Outcomes (end points)
The key outcomes for the recruiting portion of the experiment are: whether an individual becomes an active driver, hours worked, trips driven, weeks worked, etc.

The key outcomes for the performance incentives portion of the experiment are: hours worked, trips driven, weeks worked, average performance on trips.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
The experiment is designed to estimate the extensive margin labor supply elasticity. To estimate the extensive margin elasticity, we first select a sample of potential drivers. We then contact these potential drivers and offer them different starting wages if they choose to drive. We use participation decisions to measure the extensive margin elasticity.

A second arm of experiments estimates the elasticity of driver performance with respect to the wage. We randomly assign drivers to different sets of performance incentives and measure the response.
Experimental Design Details
Randomization Method
The randomization will be done in an office by a computer.
Randomization Unit
Individual
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
5000 individuals
Sample size: planned number of observations
5000 individuals
Sample size (or number of clusters) by treatment arms
1000 control, 4000 spread across different treatments
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Supporting Documents and Materials
IRB

Institutional Review Boards (IRBs)

IRB Name
MIT COUHES
IRB Approval Date
2017-01-11
IRB Approval Number
1612797035
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