Housing Price Expectations and Community Participation: Evidence from Urban China

Last registered on December 26, 2025
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Pre-Trial

Trial Information

General Information

Title
Housing Price Expectations and Community Participation: Evidence from Urban China
RCT ID
AEARCTR-0017453
Initial registration date
December 11, 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
December 26, 2025, 2:03 AM EST

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

Locations

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Primary Investigator

Name
Xingjian Wang
Affiliation
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Other Primary Investigator(s)

PI Name
Meng Miao
PI Affiliation
Contact Investigator

Additional Trial Information

Status
In development
Start date
2025-12-15
End date
2026-12-31
Keywords
Electoral, Finance & Microfinance, Governance
Additional Keywords
JEL code(s)
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
With the continuous advancement of urbanization in China, communities have gradually become a key unit in the national grassroots governance system. As the most important asset of a family, real estate is not only related to the economic well-being of residents, but may also affect their attention to and willingness to participate in community affairs. This study aims to explore how changes in housing price expectations affect owners' willingness to participate in community governance.
External Link(s)

Registration Citation

Citation
Miao, Meng and Xingjian Wang. 2025. "Housing Price Expectations and Community Participation: Evidence from Urban China." AEA RCT Registry. December 26. https://doi.org/10.1257/rct.17453-1.0
Sponsors & Partners
Experimental Details

Interventions

Intervention(s)
Intervention Start Date
2026-01-01
Intervention End Date
2026-12-31

Primary Outcomes

Primary Outcomes (end points)
the respondents' willingness to participate in community governance
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
Our survey experiment in major Chinese cities randomly assigns respondents to three groups: a price-increase group viewing a video about future housing price appreciation potential, a price-decrease group viewing content about significant future price decline trends, and a control group.
Experimental Design Details
Not available
Randomization Method
randomization done by computer algorithms
Randomization Unit
individual
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
2000 individuals
Sample size: planned number of observations
2000 individuals
Sample size (or number of clusters) by treatment arms
1300 individuals
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
Supporting Documents and Materials
IRB

Institutional Review Boards (IRBs)

IRB Name
Renmin University of China
IRB Approval Date
2025-12-09
IRB Approval Number
N/A
Analysis Plan