Housing Affordability: Beliefs and Policy Preferences

Last registered on October 16, 2026

Pre-Trial

Trial Information

General Information

Title
Housing Affordability: Beliefs and Policy Preferences
RCT ID
AEARCTR-0019885
Initial registration date
October 07, 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
October 16, 2026, 2:03 PM 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
Monash University

Other Primary Investigator(s)

PI Affiliation
UNSW

Additional Trial Information

Status
In development
Start date
2026-10-15
End date
2027-01-31
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
Housing affordability has become one of the most pressing economic and social problems in the United States. Increasing housing supply is one solution, but proposals for new development and reforms of local land-use regulation are often blocked by local residents ("Not In My Back Yard" opposition). This study examines how people perceive housing affordability and housing policies, and what shapes their support for increasing housing supply. People's views may reflect not only self-interest, through the effects of new housing on them as homeowners or renters, but also social preferences: concern for its broader effects on others, and fairness considerations, such as whether their community is singled out to bear the costs while others free-ride. We survey US homeowners and renters aged 25–70 living in metropolitan ZIP codes and elicit their perceptions of local home values, rents, housing growth and affordability, which we compare with administrative and market data. Respondents then consider a hypothetical state law that removes some local restrictions on housing development, so that in five years their ZIP code has 10% more homes than it otherwise would. They are randomly assigned to one of three framings: no information about other communities (Control); a regional plan under which all communities in their metropolitan area must allow comparable increases (Broad); or a policy that applies only to their ZIP code (Narrow). We measure support for the policy, its perceived fairness, and expected effects on the respondent's own home value or rent, metro-wide prices, property taxes, neighborhood amenities and the mix of new residents. Comparing the arms shows how far support for new housing in one's own area depends on whether other communities must also build. The survey also measures beliefs about other housing policies and political views, allowing us to study which considerations most strongly predict support for housing policy.
External Link(s)

Registration Citation

Citation
Chirakijja, Janjala and Hasin Yousaf. 2026. "Housing Affordability: Beliefs and Policy Preferences." AEA RCT Registry. October 16. https://doi.org/10.1257/rct.19885-1.0
Experimental Details

Interventions

Intervention(s)
The intervention is a framing of a hypothetical housing scenario in an online survey. All respondents read the same scenario: a state law removes some local restrictions on housing development, so that in five years their ZIP code has 10% more homes than it otherwise would. Respondents are randomly assigned with equal probability to one of three arms that differ only in what they are told about other communities: nothing (Control), that all communities in their metropolitan area must allow comparable increases (Broad), or that the policy applies only to their ZIP code (Narrow). All other survey content is identical across arms.
Intervention Start Date
2026-10-15
Intervention End Date
2027-01-31

Primary Outcomes

Primary Outcomes (end points)
Support for the scenario policy, compared across framing arms.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
(1) Perceived fairness of the scenario policy and expected effects of the scenario, compared across arms (2) Change in support after the crossover information, within each arm, and the Broad-versus-Narrow crossover contrast within Control. (3) Post-treatment general policy views compared across arms. (4) Effects of question order and of range elicitation on the outcomes above, and the imprecision of expectations (range width) under each scenario. (5) Heterogeneity of treatment effects by tenure, by pre-treatment perceptions of local housing growth and affordability, and by post-treatment political and attitude measures. (6) The survey also collects perceptions of local housing costs, growth and affordability, compared with administrative and market data, and open-ended responses; these are used for descriptive analyses and a decomposition of support for housing policies.
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
We field a survey experiment embedded in an online survey of US residents aged 25–70 who own or rent their home and live in metropolitan ZIP codes. Respondents are recruited through an online panel invited from a list of urban and suburban ZIP codes, with homeowners and renters each making up half the sample and quotas on age, gender, region and household income. After demographic and screening questions, respondents answer open-ended questions about housing, then report their perceptions of local home values and rents, the affordability of housing for a hypothetical lower-income family, the prevalence of housing cost burdens and the causes of high housing costs, and how fast the number of homes in their area has grown. They then read a hypothetical scenario in which a state law removes some local restrictions on housing development and the number of homes in their ZIP code becomes 10% larger in five years, and are randomly assigned to one of three framing arms (Control, Broad, Narrow). Respondents report their expected home value or rent under the baseline and alternative scenarios, expected effects on metro-wide prices, property taxes, neighborhood amenities and new residents, and their support for and perceived fairness of the policy; the order of these two sets of questions is randomized. A random half also report the lowest and highest values they consider possible, to capture uncertainty in their expectations. The survey then asks about other housing policies, zoning and local versus state control, the respondent's housing situation, political views, trust in government, zero-sum thinking and local political participation.
Experimental Design Details
Not available
Randomization Method
Computer randomization by the survey platform (Qualtrics)
Randomization Unit
Individual
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
Individual
Sample size: planned number of observations
2,000 individuals (minimum 1,500)
Sample size (or number of clusters) by treatment arms
About 667 Control, 667 Broad and 667 Narrow (500 each at the 1,500 minimum)
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
IRB

Institutional Review Boards (IRBs)

IRB Name
Monash University Human Research Ethics Committee
IRB Approval Date
2026-03-17
IRB Approval Number
51164