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Understanding and Estimating U.S. Physicians Preferences for Unionization

Last registered on January 06, 2026

Pre-Trial

Trial Information

General Information

Title
Understanding and Estimating U.S. Physicians Preferences for Unionization
RCT ID
AEARCTR-0017580
Initial registration date
January 02, 2026

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 06, 2026, 7:19 AM EST

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

Locations

Region

Primary Investigator

Affiliation
University of Chicago Booth School of Business

Other Primary Investigator(s)

PI Affiliation
Stanford University
PI Affiliation
Stanford University

Additional Trial Information

Status
In development
Start date
2026-01-05
End date
2027-01-01
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
We will recruit licensed, practicing U.S. physicians via email and compensate them for participating in an online survey. After screening for eligibility, non-unionized physicians will be randomly assigned to a control group or to one of two treatment groups that view a brief video highlighting either the compensation benefits or patient-care benefits of physician unionization. The sample will be regionally representative and balanced across primary care physicians and specialists, with a separate sample of Emergency Medicine physicians. The survey is designed to measure physicians’ preferences and beliefs regarding collective action and their motivations for practicing medicine, as well as their use of AI and experience with COVID.
Non-unionized physicians will be randomly assigned to one of three groups: a control group or one of two treatment groups. Physicians in the treatment groups will watch a two-minute video describing either the compensation benefits or the patient-care benefits of physician unionization. After the intervention, the survey will measure beliefs about unionization, preferences toward unionization, and real-stakes behavior. Aggregate results will be shared with relevant professional organizations after the study concludes. A follow-up survey will be run around two weeks after the intervention to assess whether and to what extent views (e.g., beliefs and preferences) have been shifted.
External Link(s)

Registration Citation

Citation
Alsan, Marcella, Jiafeng Chen and Matthew Notowidigdo. 2026. "Understanding and Estimating U.S. Physicians Preferences for Unionization." AEA RCT Registry. January 06. https://doi.org/10.1257/rct.17580-1.0
Experimental Details

Interventions

Intervention(s)
We will recruit licensed, practicing U.S. physicians via email and compensate them for participating in an online survey. After screening for eligibility, non-unionized physicians will be randomly assigned to a control group or to one of two treatment groups that view a brief video highlighting either the compensation benefits or patient-care benefits of physician unionization. The sample will be regionally representative and balanced across primary care physicians and specialists, with a separate sample of Emergency Medicine physicians. The survey is designed to measure physicians’ preferences and beliefs regarding collective action and their motivations for practicing medicine, as well as their use of AI and experience with COVID.

Non-unionized physicians will be randomly assigned to one of three groups: a control group or one of two treatment groups. Physicians in the treatment groups will watch a two-minute video describing either the compensation benefits or the patient-care benefits of physician unionization.

After the intervention, the survey will measure beliefs about unionization, preferences toward unionization, and real-stakes behavior. Aggregate results will be shared with relevant professional organizations after the study concludes. A follow-up survey will be run around two weeks after the intervention to assess whether and to what extent views (e.g., beliefs and preferences) have been shifted.

Our analysis accommodates heterogeneity using observed covariates. Belief outcomes are measured using index scores that combine related survey items, with weights based on a validation survey. The beliefs can serve as the first-stage in a 2sls framework to estimate the causal effect of beliefs on choices.
Intervention Start Date
2026-01-05
Intervention End Date
2026-06-01

Primary Outcomes

Primary Outcomes (end points)
Primary outcomes include physicians’ beliefs about the effects of unionization, measured before and after the intervention using 0–10 agreement scales. [Survey items assess whether unionization would increase pay, reduce excessive work hours, improve autonomy over patient care, improve staffing and benefits, improve patient outcomes, and reduce burnout.]
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
We also measure overall support for physician unionization and willingness to take actions in support of it.
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
Non-unionized physicians will be randomly assigned to one of three groups: a control group or one of two treatment groups. Physicians in the treatment groups will watch a two-minute video describing either the compensation benefits or the patient-care benefits of physician unionization.
Experimental Design Details
Not available
Randomization Method
Randomization will be done by a computer, with each of the three outcomes assigned to the physicians with equal probability
Randomization Unit
Individual physician
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
N/A
Sample size: planned number of observations
We assume a 1.5% response rate based on the piloting and with 70,000 physicians’ contact information which would yield approximately 1,050 responses
Sample size (or number of clusters) by treatment arms
We are randomizing into equal sizes, so that will be 350 observations in each treatment group and in the control group
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
Stanford University
IRB Approval Date
2025-12-01
IRB Approval Number
81911