Phillips, C. P. & Bourassa, S. C. (2025). The State of the State’s Housing 2025: Supply and Affordability in Washington State. Washington Center for Real Estate Research. College of Built Environments, University of Washington.
Lab/Center: Washington Center for Real Estate Research
The State of the State’s Housing 2024: Supply and Affordability in Washington State
Phillips, C. P., Bourassa, S. C., & Virant, M. A. (2024). The State of the State’s Housing 2024: Supply and Affordability in Washington State. Washington Center for Real Estate Research. College of Built Environments, University of Washington.
WCRER Releases The State of the State’s Housing Report
The Washington Center for Real Estate Research has released a new report entitled “The State of the State’s Housing.” This is an inaugural annual report. View the report here.
Professor Steve Bourassa quoted in The Bellingham Herald on First-time Buyer Housing Affordability
Professor Steve Bourassa of the Washington Center for Real Estate Research (WCRER) and Runstad Department of Real Estate was quoted in a story entitled “First-time Buyer Affordability at Lowest Point in Four Years” in The Bellingham Herald. Read the full article here.
Mason Virant
Mason Virant works in the Washington Center for Real Estate Research
Professor Steve Bourassa featured in The News Tribune discussing housing listings and interest rates
Professor Steve Bourassa of the Washington Center for Real Estate Research (WCRER) and Runstad Department of Real Estate was quoted in a story entitled “Listings are up, interest rates may come down.” Read the full article here.
WCRER releases report and white paper – March 2024
The Washington Center for Real Estate Research (WCRER) has released a white paper entitled “Increasing Washington State’s Residential Development Capacity”, co-authored by WCRER Director Steven Bourassa (also the H. Jon and Judith M. Runstad Endowed Professor and Chair of the Runstad Department of Real Estate) and WCRER Associate Director Mason Virant. WCRER also recently released a report which focuses on the impacts of HB 1923 and HB 2343, legislation enacted in 2019 and 2020 which provide grants to help develop…
UW researchers issue state-level policy recommendations for transit-oriented development
CBE Researchers developed a report “Finding Common Ground: Best Practices for Policies Supporting Transit-Oriented Development,” with the Mobility Innovation Center and led by the Washington Center for Real Estate Research. Project Team: Mason Virant, Associate Director, Washington Center for Real Estate Research Christian Phillips, Urban Design and Planning PhD Program Steven C. Bourassa, PhD Director, Washington Center for Real Estate Research Arthur Acolin, Associate Professor, Runstad Department of Real Estate Visit the project page here.
Steven Bourassa quoted in Washington State Standard article on Rent Prices Stabilizing
Steven Bourassa is an H. Jon and Judith M. Runstad Endowed Professor and Chair in the Runstad Department of Real Estate, and is Director of the Washington Center for Real Estate Research. Professor Bourassa was quoted in a Washington State Standard story entitled “Rents in Washington show signs of stabilizing,” as an expert in the field. Read the article here.
Bayesian Estimation of the Hierarchical SLX Model with an Application to Housing Markets
Hall, Joshua C.; Lacombe, Donald J.; Neto, Amir; Young, James. (2022). Bayesian Estimation of the Hierarchical SLX Model with an Application to Housing Markets. Journal Of Economics & Finance, 46(2), 360 – 373.
Abstract
Hierarchical or multilevel models have long been used in hedonic models to delineate housing submarket boundaries in order to improve model accuracy. School districts are one important delineator of housing submarkets in an MSA. Spatial hedonic models have been extensively employed to deal with unobserved spatial heterogeneity and spatial spillovers. In this paper, we develop the spatially lagged X (or SLX) hierarchical model to integrate these two approaches to better understanding local housing markets. We apply the SLX hierarchical model to housing and school district test score data from Cincinnati Ohio. Our results highlight the importance of accounting for spatial spillovers and the fact that houses are embedded in school districts which vary in quality. [ABSTRACT FROM AUTHOR]; Copyright of Journal of Economics & Finance is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Keywords
Housing Market; Multilevel Models; Test Scoring; Cincinnati (ohio); Ohio; Bayesian Methods; Slx Model; Spatial Econometrics; Spatial Hierarchical Models