Slavs Only: Open Xenophobia and Racial Disparities in Rental Housing

Last registered on October 20, 2024

Pre-Trial

Trial Information

General Information

Title
Slavs Only: Open Xenophobia and Racial Disparities in Rental Housing
RCT ID
AEARCTR-0014583
Initial registration date
October 18, 2024

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
October 19, 2024, 11:01 PM EDT

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

Last updated
October 20, 2024, 6:55 AM EDT

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

Locations

Region

Primary Investigator

Affiliation
University Paris-Dauphine - PSL

Other Primary Investigator(s)

PI Affiliation
Sciences Po

Additional Trial Information

Status
Completed
Start date
2018-06-20
End date
2019-12-14
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
What if prejudice were visible? This paper examines the exceptional case of Moscow’s rental market, where 20% of listings explicitly state racial preferences. Based on this exceptional case, we compile an "atlas of prejudice" for Moscow and shed light on a question previously difficult for empirical research to access: Does prejudice in the market distort prices and generate racial differentials in rents? To complement observational data on overt discrimination and link it to differential treatment studied in previous literature, we perform an RCT using the well-established method of correspondence experiments. We send two types of messages to a sample of listings, manipulating the names of the sender (potential tenant) to sound either ethnically Russian or non-Russian. Specifically, this approach allows us to explore three key questions: (1) How does the level of discrimination in Moscow compare to findings from other countries? (2) Is our measure of overt discrimination reliable? (3) Do overt and subtle forms of discrimination act as complements or substitutes?
External Link(s)

Registration Citation

Citation
Avetian, Vladimir and Viktor Veterinarov. 2024. "Slavs Only: Open Xenophobia and Racial Disparities in Rental Housing." AEA RCT Registry. October 20. https://doi.org/10.1257/rct.14583-2.0
Experimental Details

Interventions

Intervention(s)
We conduct a paired-matching experiment, sending messages with both Russian-sounding and non-Russian-sounding names to the same listings, randomizing the order and content of the messages.
Intervention (Hidden)
Intervention Start Date
2018-06-20
Intervention End Date
2019-12-14

Primary Outcomes

Primary Outcomes (end points)
Landlords and agents' responses to a message.
Primary Outcomes (explanation)
Landlords and agents could respond in various ways. The responses were classified into the following categories:

1. Answer the question or ask the applicant to call
2. Ask for extended identification or explicitly inquire about ethnicity
3. State that the apartment has already been rented
4. Do not read the message
5. Read the message but do not respond
6. Reject the applicant, citing ethnicity
7. Reject the applicant, other reasons

This classification was simplified to analyze the experiment's results. Category 1 was considered "likely non-discriminating" (landlord responded), while categories 2, 3, 5-7 were combined into a single "likely discriminating" group (landlord did not respond or reject). Responses classified under Category 4 were excluded from the analysis.

Since landlords or agents could not communicate with applicants in other ways, no additional response types were possible.

Relative response rate = probability of response on message with non-Russian-sounding names/probability of response on message with Russian-sounding names

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
In our correspondence experiment, we utilized the contact form on an online rental platform, which enables users to message the individual who posted a listing. For each listing, we sent two separate messages from two different accounts: one using a Russian-sounding name and the other using a non-Russian-sounding name. The experiment was carried out in two rounds.
The platform provides users with two options for contacting landlords or agents: either by public mobile phone or through an online form. The online form is commonly used for submitting short, clarifying questions about a listing. To make sure that the only difference in applications is the name, the online form was chosen for this experiment.
We used two simple questions for the intervention. Translations of these questions are as follows:
Q1. Hello, I'm interested in your apartment. May I contact you later tonight?
Q2. Good afternoon, I'm interested in your apartment. I would like to ask a clarifying question. When could one move into the apartment? [First name]
The content of the questions is unrelated to ethnic discrimination. Their purpose is simply to elicit a response based on the name of the applicant. The message is a preliminary step before a phone conversation, which precedes a personal visit to the apartment. The online form is rarely used to finalize deals or negotiate terms. The experiment was designed to allow landlords to ignore the potential tenant, disrupting interaction at the very first stage.
When applicants submit their messages through the form, landlords only see the content of the message. Nevertheless, separate accounts with realistic email addresses were created for each identity.
The variation in perceived ethnicity based on names is the key factor in the experiment. Two rounds of the experiment were conducted, with different approaches to name selection.
It is important to note that in Russia, there is no comprehensive dataset of birth names. For the first round, we selected two names: the Russian name Andrei and the Turkic name Arslan, both popular and recognizable in Russia.
In the second round, we adopted a more systematic approach to name selection. We compiled a dataset of popular names in Russia using statistics from the social network vk.com (the most commonly used media in Russia comparable in popularity to Facebook in the U.S. We constructed a ranking of name frequencies for each Russian city.
The most Russian-sounding names were selected using data from Moscow, while the most non-Russian-sounding names were chosen based on data from Makhachkala. According to the 2010 Census, Moscow's population is 90 per cent ethnically Russian, whereas in Makhachkala, only 6.3 per cent of the residents are Russian. The largest ethnic groups from Makhachkala (Avars, Kumyki, Dargins, Lezgins, Laks) face systematic discrimination in Moscow's housing and labor markets. Chechen job seekers had one of the lowest response rates. Given the overlap between names of major ethnic groups in Dagestan and Chechen names, this result applies to many of the most popular names in Makhachkala.
The ten most popular names from Moscow were selected to represent Russian-sounding names, while the ten most common names from Makhachkala were chosen to represent non-Russian-sounding names. These selected names were used in the second round of the study. To avoid overlap, names that ranked highest at the national level, as well as those used in the first round of the experiment, were excluded.
The experiment was conducted in two rounds: June 20-21, 2018, and December 13-14, 2019. The only difference between the rounds was the selection of Russian-sounding and non-Russian-sounding names. The experiment targeted fresh listings no older than one day. To prevent potential bias from contacting the same person through different listings, we excluded all listings with non-unique phone numbers.
We manually sent the first message through the contact form to each listing, randomising Russian-sounding and non-Russian-sounding names. Automating the process was not feasible due to platform restrictions. The next day, we sent the second set of messages with alternative names (Russian-sounding name if there was a non-Russian-sounding name on the first day, and vice versa) from different accounts. A one-day gap was chosen to make control and treatment groups more comparable and minimize the chance that listings would become unavailable by the time of the second message.
Randomization of Russian-sounding and non-Russian-sounding name message order and text content ensured that timing would not bias results.
Experimental Design Details
Randomization Method
Randomization by a computer
Randomization Unit
Individual listing
Was the treatment clustered?
Yes

Experiment Characteristics

Sample size: planned number of clusters
509 individual listings
Sample size: planned number of observations
1018 messages
Sample size (or number of clusters) by treatment arms
509 treatment (messages with non-Russian-sounding names) and 509 control (messages with Russian-sounding names)
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Total Clusters (n): 509 Observations per Cluster (m): 2 Standard Deviation of Outcome Variable: 0.5 Intra-cluster Correlation (ICC), calculated based on the final sample: 0.438 Significance Level 5% test Z: 1.96 Power 0.80 test Z: 0.84 Then Minimum Detectable Effect Size (MDES), calculated based on the final sample: 0.068, or 6.8% of the standard deviation of the outcome variable.
IRB

Institutional Review Boards (IRBs)

IRB Name
IRB Approval Date
IRB Approval Number

Post-Trial

Post Trial Information

Study Withdrawal

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Intervention

Is the intervention completed?
Yes
Intervention Completion Date
December 14, 2019, 12:00 +00:00
Data Collection Complete
Yes
Data Collection Completion Date
December 14, 2019, 12:00 +00:00
Final Sample Size: Number of Clusters (Unit of Randomization)
437 listings
Was attrition correlated with treatment status?
No
Final Sample Size: Total Number of Observations
874 messages
Final Sample Size (or Number of Clusters) by Treatment Arms
437 treatment (messages with non-Russian-sounding names), 437 control (messages with Russian-sounding names)
Data Publication

Data Publication

Is public data available?
No

Program Files

Program Files
No
Reports, Papers & Other Materials

Relevant Paper(s)

Reports & Other Materials