Moonlighting and Public Service: Does Allowing Government Workers to Hold Outside Jobs Boost Workplace Productivity?

Last registered on August 26, 2025

Pre-Trial

Trial Information

General Information

Title
Moonlighting and Public Service: Does Allowing Government Workers to Hold Outside Jobs Boost Workplace Productivity?
RCT ID
AEARCTR-0016516
Initial registration date
August 04, 2025

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 08, 2025, 6:57 AM EDT

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

Last updated
August 26, 2025, 11:36 PM EDT

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

Locations

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Primary Investigator

Affiliation

Other Primary Investigator(s)

Additional Trial Information

Status
In development
Start date
2025-09-01
End date
2026-10-01
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Moonlighting—the practice of holding secondary employment in addition to a primary government job—is increasingly relevant in the contemporary public sector. However, the consequences of allowing government workers to engage in outside work remain debated, particularly regarding its effects on workplace productivity, job satisfaction, and employee well-being. This research will experimentally examine whether facilitating outside employment for government workers impacts their productivity and overall professional experience.
External Link(s)

Registration Citation

Citation
Lu, Fangzhou. 2025. "Moonlighting and Public Service: Does Allowing Government Workers to Hold Outside Jobs Boost Workplace Productivity?." AEA RCT Registry. August 26. https://doi.org/10.1257/rct.16516-1.1
Experimental Details

Interventions

Intervention(s)
The intervention consists of providing selected government employees in China with structured support to facilitate engagement in outside (secondary) employment, also known as moonlighting. Participants in the treatment group will receive:

Information sessions about legal, procedural, and practical aspects of holding secondary employment while working in the public sector.
Guidance on how to identify and pursue outside job opportunities, including explanations of relevant policies and step-by-step application procedures.
Personalized consultations to assist participants in communicating with supervisors and navigating potential administrative barriers related to outside employment.
The intervention will be delivered through a combination of group workshops, informational materials, and one-on-one consultations over the course of one year. The control group will not receive any additional information or support regarding outside employment beyond what is routinely available.
Intervention Start Date
2025-09-01
Intervention End Date
2026-10-01

Primary Outcomes

Primary Outcomes (end points)
Workplace Productivity:
Measured through administrative performance evaluations, self-reported productivity scales in surveys, and where possible, unobtrusive observation of work behaviors.

Secondary Employment Uptake:
Whether participants secure or engage in secondary (outside) employment, as measured by self-report and verified with agency administrative records.

Job Satisfaction:
Assessed via validated survey instruments capturing overall job satisfaction and satisfaction with specific job aspects.

Employee Well-Being:
Measured by self-reported well-being indices, including psychological well-being, work-life balance, and financial well-being.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
This study is designed as a randomized controlled trial (RCT) to evaluate the effects of supporting secondary employment (“moonlighting”) among government employees on workplace productivity, job satisfaction, and employee well-being in China. The trial will recruit participants from a wide range of public sector agencies, including the Letters and Visits Office, Courts, Public Security Bureau and Police (including the Entry-Exit Administration), Tax Bureau, Civil Affairs Bureau, Human Resources and Social Security Bureau, Market Supervision Administration, Sub-district Offices and Community Committees, Education Bureau, Health Commission, Urban Management/Chengguan, Transport Bureau, and Finance Bureau. Across these departments, the pool of potential participants is estimated to be approximately 7,000 employees. The primary geographical focus will be Guangdong province, with the possibility of expanding to other regions.

Eligible government employees who consent to participate will be randomly assigned to either the treatment group or the control group. Randomization will be conducted at the individual level within each participating department, using a computer-generated random number sequence. To ensure balance across groups, randomization may be stratified by department and/or location.

Participants assigned to the treatment group will receive structured support to facilitate engagement in outside employment. This support includes information sessions about the legal and practical aspects of holding a secondary job, guidance on application procedures and relevant policies, and access to personalized consultations for navigating administrative processes. The control group will not receive any additional information or support related to outside employment beyond what is routinely available through their agencies. The intervention will be delivered over a one-year period through a combination of group workshops, written materials, and individual consultations.

Primary outcomes will be measured at baseline and follow-up, and include workplace productivity (assessed through administrative evaluations, self-reported productivity, and, where feasible, unobtrusive observation), uptake of secondary employment (measured by self-report and verified with administrative data), job satisfaction (using validated survey instruments), and employee well-being (including work-life balance, psychological well-being, and financial well-being). The study will estimate the causal impact of the intervention by comparing outcomes between the treatment and control groups using an intention-to-treat analysis framework, controlling for relevant baseline characteristics and accounting for any clustering by department or location.
Experimental Design Details
Not available
Randomization Method
Randomization is conducted at the individual employee level using a computer-generated algorithm. The sample of approximately 7,000 government employees is first stratified by government department (such as Public Security Bureau, Tax Bureau, Education Bureau, etc.) and by regional office within Guangdong province to ensure balanced allocation across these key administrative units. Within each stratum, employees are randomly assigned to either the treatment group or the control group using random numbers generated in Stata.

To ensure optimal balance on important baseline characteristics—including age, gender, years of government service, job rank, and baseline measures of job satisfaction and productivity—a re-randomization procedure is employed. After an initial random allocation, we calculate the maximum and average t-statistics for differences in means of these variables across the two groups. If the maximum t-statistic exceeds 1.25 or the average exceeds 0.35, the randomization is repeated using a new random seed. This process is continued until the pre-specified balance criteria are achieved.

All randomization steps and balance checks are implemented using pre-written Stata code, and the procedure is documented for transparency and replicability.
Randomization Unit
individual
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
7000 individuals
Sample size: planned number of observations
7000 individuals
Sample size (or number of clusters) by treatment arms
3500 in the treatment group, 3500 in the control group,
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
HKU Human Research Ethics Committee (HREC)
IRB Approval Date
2025-08-11
IRB Approval Number
EA250464