Measuring labor force participation

Last registered on August 28, 2024
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Pre-Trial

Trial Information

General Information

Title
Measuring labor force participation
RCT ID
AEARCTR-0013645
Initial registration date
August 18, 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
August 28, 2024, 2:31 PM EDT

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

Locations

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Primary Investigator

Name
Andrew Simon
Affiliation
University of Virginia
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Other Primary Investigator(s)

PI Name
Justin Holz
PI Affiliation
University of Michigan
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PI Name
Faisal Kattan
PI Affiliation
University of Chicago
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PI Name
John List
PI Affiliation
University of Chicago
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Additional Trial Information

Status
In development
Start date
2024-08-19
End date
2025-09-01
Keywords
Labor
Additional Keywords
JEL code(s)
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
We consider different ways of measuring labor force participation.
External Link(s)

Registration Citation

Citation
Holz, Justin et al. 2024. "Measuring labor force participation." AEA RCT Registry. August 28. https://doi.org/10.1257/rct.13645-1.0
Sponsors & Partners
Experimental Details

Interventions

Intervention(s)
We will measure labor force participation in several ways.
Intervention Start Date
2024-08-19
Intervention End Date
2025-09-01

Primary Outcomes

Primary Outcomes (end points)
Whether the individual reports that they are actively looking for work (indicator).
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
We will randomize how we ask about labor force participation.
Experimental Design Details
Not available
Randomization Method
Randomization into treatment is done in office by computer.
Randomization Unit
Individual
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
5558 individuals
Sample size: planned number of observations
5558 individuals
Sample size (or number of clusters) by treatment arms
Individuals will be randomized so that 1/3 are in each treatment

Based on similar recent surveys, we expect a 45% reponse rate. We will reweight the sample to correct for attrition.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Supporting Documents and Materials
IRB

Institutional Review Boards (IRBs)

IRB Name
University of Chicago
IRB Approval Date
2024-05-20
IRB Approval Number
IRB24-0892
Analysis Plan