Open research questions in Housing Market and Economics
80 unresolved questions extracted from the limitations and future-work sections of 3,311 Housing Market and Economics papers in our library. Each links back to the study that raised it.
What the literature leaves open
References Root et. al., 2023 McKinsey& Company, 2023 Patel, 2023 Siddique, et. Al. (2025) McKinsey& Company, 2023 Kumar, et. al.
Nevertheless, this study remains practical if the contribution is not understood as the ‘final word’ on the best architecture, but rather as robust evidence that tabular transformer-based models (i) work in the given urban analytical setup, (ii) can satisfactorily map patterns in spatial data sets, and (iii) can be embedded in modular AGILE: GIScience Series, 7, 15, 2026 | https://doi.
Based on the findings that anchoring significantly influences property valuation outcomes, the following recommendations are proposed: 1. Valuation firms and professionals should adopt structured and standardized valuation frameworks that emphasize objective data analysis, reduce reliance on subjective judgment and ensure consistency across valuation assignments. 2. Valuers should, where possible, conduct blind valuations by avoid exposure to listing prices, previous valuations, or client-suggested figures at the initial stage. 3. Valuers should place greater emphasis on verified comparable sales, market trends, rental and income data.
ANCHORING THE EFFECTS IN PROPERTY VALUATION: A BEHAVIOURAL PERSPECTIVE IN REAL ESTATE MARKETS IN ENUGU METROPOLIS, NIGERIA · 2026 · DOIThe changing interest rate environment and the structural changes in the U.S. housing market offer opportunities assumable mortgages. Although this review has identified borrower motivations, barriers to adoption and macroeconomic effects, there are some areas that have not been fully examined. explore further to large Loan-Level Empirical Measurement A key goal of future work should be the creation of loan-level databases of mortgage assumptions. Current databases of mortgage defaults and prepayments focus on originations, refinancing seldom on and defaults, but assumptions. Enhanced transparency would enable hazard models of assumption, akin to welldeveloped prepayment models [Kau, J. B. et al., 1992].
Assumable Mortgages in the U.S.: Borrower Incentives, Adoption Barriers, and Market-Level Implications · 2026 · DOIIván Humarán Nahed Facultad de Arquitectura y Diseño, Universidad Autónoma de Sinaloa, México [email protected] ORCID: 0000-0002-5245-7980 Pedro Alfonso Aguilar Calderón Facultad de Ingeniería y Tecnología de Mazatlán, Universidad Autónoma de Sinaloa, México [email protected] ORCID…
Due to the long-term construction process, short-term programmes such as Safe Credit 2% were insufficient to stimulate the housing supply effectively.
Dynamics of the residential real estate market during the implementation of the Safe Credit 2% programme – a case study of selected cities in Poland · 2025 · DOIThe issue of time on market (TOM) correlation with the sale price remains under-explored considering the importance and complexity of the housing market.
Motivated by the limited research on the impact of housing prices on consumption structure upgrading in China, this paper presents a series of analyses that deploy panel data from 276 Chinese cities between 2005 and 2019 to scrutinize this impact.
Urban housing prices and consumption structure upgrading: Different relationships in urban and rural China · 2024 · DOIDespite this, little is known regarding the different types of SFR investors, what types of properties different investor types buy, and what types of neighbourhoods are targeted by different investor types.
Single-family rental (SFR) investor types, property conditions, and implications for urban neighbourhoods: evidence from Memphis, Tennessee · 2024 · DOIThe discovery of contamination and subsequent investigation is associated with up to a 5% depreciation in the value of homes within 750 meters of a TSDF, but the evidence is mixed.
Hazardous Waste and Home Values: An Analysis of Treatment and Disposal Sites in the United States · 2023 · DOIUsing data from the Multiple Listing Service for the city of Savannah, Georgia, from 2006 through 2021, this study extends the more limited research on just‐below pricing for more consequential purchases, specifically housing.
Despite several attempts to compare and examine the predictive accuracy of real estate sales and rent prices between the regression‐based and neural‐network (NN)‐based approaches, the results are largely mixed.
A Comparison of Residential Apartment Rent Price Predictions Using a Large Data Set: Kriging Versus Deep Neural Network · 2021 · DOIBased on all reported housing transactions in Israel over the period 1998–2015, we conclude that about 8% of the transactions are under-reported, with an average price report of 30% below the projected true price.
This study expands upon the limited literature to examine house price diffusion of housing submarkets (namely, low-priced and high-priced submarkets) in Greater Sydney, one of the most diverse housing markets in Australia, using convergence tests, cointegration techniques, Granger causality and dynamic ordinary least square cointegration tests.
The financialization of real estate is not limited to the rise in household debt, mortgage securitization and international investment in office markets, but increasingly also affects rental housing: private equity, hedge funds and REITs buy up large portfolios of social and private rented housing, while housing associations use derivatives and other financial instruments.
Findings The study has found substantial limitations in the incorporation of sustainability in property valuation in Melbourne’s real estate market, comprising valuers’ limited knowledge, reluctance to consider sustainability in the valuation process, poor verification or investigation of sustainability considerations, client instructions did not direct valuers to consider sustainability, lack of data and limited tools for detailed analysis.
Our main contribution is the detection of contrary dynamics within the Google “Home Financing” subcategory, which to date yields empirically mixed evidence (Hohenstatt, Kaesbauer, and Schaefers, 2011).
GECO's Weather Forecast for the U.K. Housing Market: To What Extent Can We Rely on Google Econometrics? · 2014 · DOISince behavioural research suggests that valuers often anchor to asking price which, in theory, is based on the selling agent's opinion of the likely transaction value of a property, the argument is made that “asking price” provides a reliable indication of the impact of a negative externality when transaction data are scarce.
Results indicate there are GARCH effects in over half the states, and the signs and magnitudes vary widely, highlighting the importance of estimating separate GARCH models for each market.
An empirical model of contract choice is tested against the 1999 Agricultural Economics and Land Ownership Survey (AELOS) and finds mixed evidence for low transaction cost and risk‐sharing‐incentive motives for landlord‐tenant choices of a share versus cash‐rent contract.
The Role of Risk and Transaction Costs in Contract Design: Evidence from Farmland Lease Contracts in U.S. Agriculture · 2008 · DOISurprisingly, there is only limited evidence of greater stability in housing markets since the 1950s; instead, what seems to have happened is a general return to the scale of fluctuations prior to 1914 after the tumultuous inter-war period.
This study extends from Liu and Mei (1992) by further investigation of assets, real estate related securities, which includes both equity and mortgage real estate investment trusts (REITs), the stocks of builder- and owner-companies, and mortgage-backed securities (MBSs).
Risk Characteristics of Real Estate Related Securities—An Extension of Liu and Mei (1992) · 1998 · DOIFurthermore, significant problems were encountered with the NN models: inconsistent results between packages, inconsistent results between runs of the same package and long run times.
The penalties of inadequate market research are heavy: projects are difficult to finance because funders remain to be convinced that there is a demand for the floorspace proposed; completed developments stand vacant because the accommodation provided does not meet the design, site or location requirements of potential occupiers.
Future research should investigate alternative model types and predic- tors. Measuring inequality beyond the Gini coefficient may clarify conflicting findings.
Beyond income: A new framework for predicting wealth-based inequality using real estate price dispersion · 2026 · DOI
Most-cited papers in Housing Market and Economics
- Inside the <scp>ESG</scp> ratings: (Dis)agreement and performance · Corporate Social Responsibility and Environmental Management · 2021 · 552 citations
- The Housing Boom and Bust: Model Meets Evidence · Journal of Political Economy · 2020 · 314 citations
- The Measurement of Neighborhood Dynamics in Urban House Prices · Economic Geography · 1990 · 239 citations
- An Exploration of Neural Networks and Its Application to Real Estate Valuation · Journal of Real Estate Research · 1995 · 188 citations
- Subjective or objective measures of street environment, which are more effective in explaining housing prices? · Landscape and Urban Planning · 2022 · 181 citations
- The impact of the COVID-19 pandemic on the demand for density: Evidence from the U.S. housing market · Economics Letters · 2021 · 177 citations
- Housing Wealth Effects: The Long View · The Review of Economic Studies · 2020 · 169 citations
- House Prices and Credit Constraints: Making Sense of the US Experience · The Economic Journal · 2011 · 168 citations
- Financial geography II: Financial geographies of housing and real estate · Progress in Human Geography · 2018 · 168 citations
- Pre-owned housing price index forecasts using Gaussian process regressions · Journal of Modelling in Management · 2024 · 164 citations
Most recent work
- Exploring barriers to valuation technology adoption in property valuation: insights from practitioners · Journal of Property Investment and Finance · 2026
- Construction and Opening Effects of a Large‐Scale Bridge Project on Real Estate Prices: Evidence From the Mumbai Trans Harbour Link · Asian Economic Policy Review · 2026
- Real Estate Price Measurement Since the Global Financial Crisis: Methods, Data and Policy Developments · Review of Income and Wealth · 2026
- Google Trends as Indicator of Social Preferences: Causality and Intervention in Poland’s Housing Market · Geomatics and Environmental Engineering · 2026
- Inteligencia artificial en la valuación inmobiliaria: Avances, desafíos y perspectivas · Revista de Investigación en Tecnologías de la Información · 2026
- Machine learning models for building valuation in expropriations · The Engineering Economist · 2026
- COVID-19, Teleworking, and the Real Estate Market · The Journal of Real Estate Finance and Economics · 2026
- Intelligent Rental Valuation: A Full-Stack Approach to Multi-Modal Property Price Prediction Using Machine Learning and Deep Learning · International Journal for Research in Applied Science and Engineering Technology · 2026
- Detecting Illicit Investment in Real Estate: a Machine‑Learning Approach to Rare‑Event AML Risk · The Journal of Real Estate Finance and Economics · 2026
- A Study on the Mechanism of Housing Price Fluctuations Affecting Credit Spreads of Urban Investment Bonds · Advances in Economics Management and Political Sciences · 2026
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