The Effects of Future Salary Information on Employee Behavior

Last registered on January 07, 2022
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Pre-Trial

Trial Information

General Information

Title
The Effects of Future Salary Information on Employee Behavior
RCT ID
AEARCTR-0008771
Initial registration date
January 07, 2022

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 07, 2022, 7:38 PM EST

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

Locations

Country
Japan
Region

Primary Investigator

Name
Takeshi Murooka
Affiliation
Osaka University
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Other Primary Investigator(s)

PI Name
Shintaro Yamaguchi
PI Affiliation
University of Tokyo
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PI Name
Yoko Okuyama
PI Affiliation
Uppsala University
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Additional Trial Information

Status
In development
Start date
2022-01-12
End date
2022-12-31
Keywords
Firms & Productivity
Additional Keywords
salary, income transparency
JEL code(s)
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
We plan to collaborate randomized controlled trials with a large private company to study the effects of future salary information on employees' desire for promotion, job satisfaction, hours of work (including overtime), output, and retention. Specifically, the company plans to randomly provide information about its future salaries, depending on its employees' age, achievements, and job rank. We further plan to investigate underlying mechanisms from administrative data and surveys collected by the company.
External Link(s)

Registration Citation

Citation
Murooka, Takeshi, Yoko Okuyama and Shintaro Yamaguchi. 2022. "The Effects of Future Salary Information on Employee Behavior." AEA RCT Registry. January 07. https://doi.org/10.1257/rct.8771-1.0
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Experimental Details

Interventions

Intervention(s)
With collaboration of a large private company, we plan to randomly provide information about its employees' future salaries, depending on the employees' achievements and job rank.
Intervention Start Date
2022-01-12
Intervention End Date
2022-01-14

Primary Outcomes

Primary Outcomes (end points)
survey responses on job satisfactions and desire for promotion, and the employees' hours of work (including overtime), output, and retention from the company's administrative data
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
The collaborating company will randomly provide information about its employees' future salaries, depending on the employees' age, achievements, and job rank. We also plan to investigate underlying mechanisms from administrative data and surveys.
Experimental Design Details
Collaborating with a large private company in Japan, we plan to study the effects of future salary information on employees' desire for promotion, job satisfaction, hours of work (including overtime), output, and retention. Specifically, starting on January 12, 2022, the company plans to randomly provide information about its future salaries, depending on its employees' age, achievements, and job rank. We further plan to investigate underlying mechanisms from administrative data and surveys recorded by the company.

Specifically, we assign each of 9 regional units (each regional unit consists of several plants and establishments) to one of the following three treatments:

(i) a control group where each subject does not receive any information;

(ii) a partial-information group where each subject receives a one-page information about the company's salaries at the age of 25, 30, 35, 40, 45, 50, and 55 when an employee will be promoted steadily;

(iii) a full-information group where each subject receives a one-page information about (ii) and additionally the company's salaries at the age of 25, 30, 35, 40, 45, 50, and 55 when an employee will not be promoted and kept at a low job rank.
Randomization Method
Randomization done in office by a computer.
Randomization Unit
Regional-unit level (each regional unit consists of several plants and establishments)
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
9 regional units.
Sample size: planned number of observations
About 3000 employees.
Sample size (or number of clusters) by treatment arms
3 regional units control, 3 regional units partial information, 3 regional units full information
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Supporting Documents and Materials
IRB

Institutional Review Boards (IRBs)

IRB Name
Osaka School of International Public Policy, Osaka University, JAPAN
IRB Approval Date
2021-12-25
IRB Approval Number
N/A
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