This dataset contains supplementary online information and replication data and Stata code for "Framing Affordable Housing: An Experimental Test of Changing Attitudes" by Mike Matheis and Jason Sorens, conditionally accepted to the journal Housing Studies.

Characteristics of included housing studies (N = 20).

Brady (Journal of Applied Econometrics, 2011, 26(2), 213-231) studies how fast and how long a change in housing prices in one region affects its neighbors by estimating the impulse response functions using a spatial autoregressive model (SAR). This paper replicates Brady's empirical results, but reports different SAR test statistics. Additional robustness checks are conducted by analyzing three different housing price indexes covering a more extensive period. Analysis shows that the model specifications and model estimates vary with the housing price indexes.

This paper studies the role of the Federal Reserve's policy in the recent boom and bust of the housing market, and in the ensuing recession. By estimating a structural dynamic factor model on a panel of 109 US quarterly variables from 1982 to 2010, we find that, although the Federal Reserve's policy between 2002 and 2004 was slightly expansionary, its contribution to the recent housing cycle was negligible. We also show that a more restrictive policy would have smoothed the cycle but not prevented the recession. We thus find no role for the Federal Reserve in causing the recession.

BackgroundMost older adults wish to stay at home during their late life years, but physical disabilities and cognitive impairment may force them to face a housing decision. However, they lack relevant information to make informed value-based housing decisions. Consequently, we sought to identify the sets of factors influencing the housing decision-making of older adults.MethodsWe performed a systematic literature search for studies evaluating any factors influencing the housing decisions among older adults over 65 years old without cognitive disabilities. Primary research from any study design reported after 1990 in a peer-reviewed journal, a book chapter or an evaluated doctoral thesis and written in English, French or Spanish were eligible. We extracted the main study characteristics, the participant characteristics and any factors reported as associated with the housing decision. We conducted a qualitative thematic analysis from the perspective of the meaning and experience of home.ResultsThe search resulted in 660 titles (after duplicate removal) from which 86 studies were kept for analysis. One study out of five reported exclusively on frail older adults (n = 17) and two on adults over 75 years old. Overall, a total of 88 factors were identified, of which 71 seem to have an influence on the housing decision-making of older adults, although the influence of 19 of them remains uncertain due to discrepancies between research methodologies. No conclusion was made regarding 12 additional factors due to lack of evidence.ConclusionA wealth of factors were found to influence housing decisions among older adults. However, very few of them have been studied extensively. Our results highlight the importance of interdisciplinary teamwork to study the influence of a broader range of factors as a whole. These results will help older adults make the best possible housing decision based on their unique situation and values.

Interventions compared, study objectives and main study conclusions of included studies.

Characteristics of included studies, ordered by type of intervention.

Summary of quality assessment and domain scores of included studies.

Study details for studies that evaluated non-medical interventions.

Logistic regression results for large-scale and small-scale public rental housing.

Summary of studies on image-based property valuation.

Comparative case studies: Journeys.

Logistic regression results for overall public rental housing.

Overview of p-valuesa for predictor variablesb from behavior models for each housing condition.

Poisson regression analysis for predictors of housing instability.

Comparative case studies: Home countries.

Logistic regression models for veteran status as a predictor of self-perceived housing instability over the past 6 months–All of Us Research Program (n = 254,079) a.

The outcome of the pre-flight procedures with mice for in vivo studies.

Selected characteristics of the studied cohort.