Home Sweet Memories

Last registered on October 06, 2025

Pre-Trial

Trial Information

General Information

Title
Home Sweet Memories
RCT ID
AEARCTR-0016797
Initial registration date
October 03, 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
October 06, 2025, 3:11 PM EDT

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

Locations

Region

Primary Investigator

Affiliation
Claremont McKenna College

Other Primary Investigator(s)

PI Affiliation
Claremont McKenna College
PI Affiliation
Claremont McKenna College

Additional Trial Information

Status
In development
Start date
2025-10-04
End date
2025-11-01
Secondary IDs
Prior work
This trial does not extend or rely on any prior RCTs.
Abstract
We want to better understand how homeowners arrive at valuations for their homes. We hypothesize that their lived experiences in the home and the memories they take away from those experiences affect their happiness. Specifically, we hypothesize that home valuations are directly proportional to qualities and characteristics of the memories they associate with the house. We also hypothesize that there may be differences across gender given the existing evidence that women perform worse in real estate transactions than men. To test this against the null hypothesis that memories have no impact, we will run a survey experiment that asks respondents to answer questions related to home valuations/their memories.

External Link(s)

Registration Citation

Citation
Bao, Jason, Peter Kelly and Sharda Umanath. 2025. "Home Sweet Memories." AEA RCT Registry. October 06. https://doi.org/10.1257/rct.16797-1.0
Sponsors & Partners

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Experimental Details

Interventions

Intervention(s)
Intervention (Hidden)
Intervention Start Date
2025-10-04
Intervention End Date
2025-11-01

Primary Outcomes

Primary Outcomes (end points)
The proposed work have interesting implications for both economics and psychological science research on memory.

For economics, it would help researchers better understand the housing market. To our knowledge, it would also be the first study to show that personal memories can distort financial activity of large-value items. In forthcoming work, Jiang et al. (2025) show the importance of memory for personal trading decisions. However, their work relates more to the formation of stock market expectations. We would be building on their work by highlighting the value of memories separate from expectation formation. Ideally, we can then expand the study to include analysis of real-world housing transaction data.

Regarding psychological science, recent work indicates that people want more money for their everyday objects or mementos when the memory attached to the object was more central to the story of their life and greater served helpful everyday memory functions (Cate et al., in prep). The present work would provide corroborating evidence at a very different scale indicating that our personal memories can be associated with monetary value and that their monetary value might stem from the characteristics of the memories.
Primary Outcomes (explanation)

Secondary Outcomes

Secondary Outcomes (end points)
Secondary Outcomes (explanation)

Experimental Design

Experimental Design
In the experiment, participants will be randomized into one of the two following conditions. In the first treatment (priming) condition, they will be prompted to recall a memory from their home that is meaningful to them. Then, they will provide what they think their home is worth. In the second (control) condition, they will be asked to recall this memory after valuing their home. After asking subjects to recall a memory, we will ask them to make some self-ratings about the characteristics and quality of the memory. These questions will be draw from Autobiographical memory questionnaire (Rubin et al., 2019). Additionally, we will qualitatively code these memories to extract additional information.
Experimental Design Details
Randomization Method
Randomization done by Qualtrics, the computerized survey software we built out survey experiment on
Randomization Unit
The subjects will be randomly assigned into two groups
Was the treatment clustered?
No

Experiment Characteristics

Sample size: planned number of clusters
NA, not clustered data
Sample size: planned number of observations
400
Sample size (or number of clusters) by treatment arms
~200
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
We expect 5% increase in home valuation in the memory-first priming condition compared to the valuation-first control condition. This is about a Cohen's d of 0.22, and a small effect size
IRB

Institutional Review Boards (IRBs)

IRB Name
Claremont Mckenna College
IRB Approval Date
2025-08-14
IRB Approval Number
2025-07-002

Post-Trial

Post Trial Information

Study Withdrawal

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Intervention

Is the intervention completed?
No
Data Collection Complete
Data Publication

Data Publication

Is public data available?
No

Program Files

Program Files
Reports, Papers & Other Materials

Relevant Paper(s)

Reports & Other Materials