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Driver Recruiting and Performance Incentives
Last registered on May 16, 2017

Pre-Trial

Trial Information
General Information
Title
Driver Recruiting and Performance Incentives
RCT ID
AEARCTR-0002220
Initial registration date
May 16, 2017
Last updated
May 16, 2017 2:06 PM EDT
Location(s)
Region
Primary Investigator
Affiliation
UC Berkeley
Other Primary Investigator(s)
Additional Trial Information
Status
In development
Start date
2017-06-01
End date
2017-12-31
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. http://www.socialscienceregistry.org/trials/2220/history/17662.
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)
IRB
INSTITUTIONAL REVIEW BOARDS (IRBs)
IRB Name
MIT COUHES
IRB Approval Date
2017-01-11
IRB Approval Number
1612797035
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, Papers & Other Materials
Relevant Paper(s)
REPORTS & OTHER MATERIALS