The Social Signal of Jobs: An Audit Study on How Jobs Influence Housing Decisions

Last registered on September 29, 2025

Pre-Trial

Trial Information

General Information

Title
The Social Signal of Jobs: An Audit Study on How Jobs Influence Housing Decisions
RCT ID
AEARCTR-0016813
Initial registration date
September 24, 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
September 29, 2025, 10:40 AM 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

Affiliation

Other Primary Investigator(s)

PI Affiliation
University of California, Berkeley
PI Affiliation
University of California, Berkeley

Additional Trial Information

Status
In development
Start date
2025-09-24
End date
2026-03-16
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
This study will provide new evidence on whether and how job titles affect social interactions in the context of roommate searches. We will conduct a field experiment on a popular classified advertisements website in which we send standardized roommate inquiries on behalf of real participants. Each message will include participant-provided details, such as age, name (or alias), and occupation. We pre-selected occupations for inclusion in the experiment that vary in their social desirability. We test whether individuals with more socially desirable jobs receive higher response rates.
External Link(s)

Registration Citation

Citation
Shenhav, Na'ama, Dmitry Taubinsky and Laila Voss. 2025. "The Social Signal of Jobs: An Audit Study on How Jobs Influence Housing Decisions." AEA RCT Registry. September 29. https://doi.org/10.1257/rct.16813-1.0
Experimental Details

Interventions

Intervention(s)
Intervention Start Date
2025-10-06
Intervention End Date
2026-03-16

Primary Outcomes

Primary Outcomes (end points)
Whether an inquiry to a “roommate wanted” listing receives a response, and whether the response is affirmative.
Primary Outcomes (explanation)
Constructed as binary variables (1 = any response received within 10 days, 0 = no response; 1 = the response is affirmative, 0 = no response or the response is negative). For analysis, occupations will primarily be pooled into “socially desirable” and “less socially desirable” categories, rather than considered individually.

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
We will respond to “roommate wanted” postings on a popular classified advertisements website with short, standardized messages on behalf of real participants. Messages will include participant-provided information (name or alias, occupation, age range). Each listing will receive two inquiries.
Experimental Design Details
Not available
Randomization Method
We will select both which listings are contacted and which participant profiles are used to contact each listing using computer randomization.

Each weekday that the study is active, we will collect all postings from the “roommates wanted” listing board for several major metropolitan areas and randomly select a subset to contact. We will send each of the chosen listings two inquiries, with messages that reference the profiles of different survey participants.

We will randomize profiles across listings. If the post indicates a gender preference (e.g., “women only”), we will randomize among profiles that meet this criterion. We will also randomize within city – e.g., for postings in New York City, we will randomly draw profiles from participants who indicated this as their location.
Randomization Unit
Individual “roommate wanted” listings, and profiles. Each listing will receive two inquiries, each with different random participant profiles.
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
N/A
Sample size: planned number of observations
We will recruit roughly 500 survey participants whose real profiles will be used to contact the subjects. We will contact approximately 20 listings for each survey participant. To reach our target of 3,500 sent messages, we will need to use 175 profiles (35% of participants). The excess profiles (beyond the minimum of 175) give us flexibility to choose profiles that are demographically balanced by gender and age, have occupations in our experimental set, and have common names. This allows us to avoid introducing confounds with individual occupation in our analysis.
Sample size (or number of clusters) by treatment arms
Jobs will be analyzed in pooled categories of “socially desirable” vs. “less socially desirable” occupations. We will send approximately the same number of responses for these pooled categories.
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
University of California, Berkeley IRB
IRB Approval Date
2025-07-30
IRB Approval Number
2025-06-18716