Does working from home affect workers' productivity?

Last registered on January 02, 2024

Pre-Trial

Trial Information

General Information

Title
Does working from home affect workers' productivity?
RCT ID
AEARCTR-0012741
Initial registration date
December 22, 2023

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
January 02, 2024, 10:55 AM EST

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

Last updated
January 02, 2024, 4:45 PM EST

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

Locations

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Primary Investigator

Affiliation
George Washington University

Other Primary Investigator(s)

PI Affiliation
London School of Economis

Additional Trial Information

Status
In development
Start date
2023-03-01
End date
2025-12-31
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
This trial evaluates whether working from home affects workers' productivity.
External Link(s)

Registration Citation

Citation
Fenizia, Alessandra and Tom Kirchmaier. 2024. "Does working from home affect workers' productivity?." AEA RCT Registry. January 02. https://doi.org/10.1257/rct.12741-1.1
Experimental Details

Interventions

Intervention(s)
Our goal is to rigorously evaluate a randomized intervention that asks workers to work almost exclusively from home relative to a hybrid working regime.
Intervention Start Date
2024-01-02
Intervention End Date
2024-10-30

Primary Outcomes

Primary Outcomes (end points)
number of crimes logged in the internal computer system, average time spent on each crime report, total amount of time spent logging crimes on the internal computer system, an indicator equal to 1 if the officer works from the office
Primary Outcomes (explanation)
see pre-analysis plan

Secondary Outcomes

Secondary Outcomes (end points)
see PAP
Secondary Outcomes (explanation)
see PAP

Experimental Design

Experimental Design
We will randomly assign roughly half of the sample of officers to the treatment group and the other half to the control group.
Experimental Design Details
Not available
Randomization Method
randomization in office done by a computer
Randomization Unit
officer
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
138 officers
Sample size: planned number of observations
138 officers observed at daily over several months
Sample size (or number of clusters) by treatment arms
69 officers in the treatment group and 69 officers in the control group
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
Ethics Approval (LSE)
IRB Approval Date
2023-08-31
IRB Approval Number
249913
IRB Name
The George Washington University Committee on Human Research, Institutional Review Board (IRB)
IRB Approval Date
2023-09-11
IRB Approval Number
NCR235181
Analysis Plan

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