Steven C. Bourassa’s research while affiliated with University of Washington and other places

... O acesso à habitação é um tópico relevante para a administração pública, uma vez que a garantia de segurança habitacional à população -ou seja, a oferta de imóveis a preços compatíveis com a renda domiciliar local -está diretamente associada à redução da pobreza e da desigualdade (Ben-Shahar et al., 2019). A relação entre os preços das moradias e os rendimentos dos domicílios influencia os aspectos econômicos de uma localidade de diferentes formas: do seu desenvolvimento socioeconômico (Oikarinen et al., 2023) aos hábitos de consumo e bem-estar de seus residentes (Atalay and Edwards, 2022;Cooper, 2013;Etheridge, 2019;Rowley et al., 2015;Zhan et al., 2022). Assim, prover condições para a existência de habitações com preços acessíveis se torna um importante objetivo dos instrumentos de planejamento urbano (Jiuwen et al., 2024), tal como planos diretores, visto que eles são os responsáveis pela regulamentação do ambiente construído e, consequentemente, condicionam a oferta de novas residências. ...

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Medindo o acesso habitacional das capitais brasileiras: utilização de versão alternativa do indicador PIR para caracterizar o mercado imobiliário no Brasil

... COD is calculated using Equation (4) and a relative statistic that measures the degree of dispersion of the ratio between the estimated value and the market value (Zhao, Shen, Ma, & Yu, 2023). PRD is calculated by equation (5) as the mean valuation ratio divided by the weighted mean ratio (Bourassa & Hoesli, 2022). According to the Standard on Ratio Studies, the acceptable range for COD is 5 to 15, while the acceptable range for PRD is 0.98 to 1.03, and the PRD value should be close to 1 (IAAO, 2013). ...

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INVESTIGATION OF THE EFFECT OF CURRENT VALUE ON REAL ESTATE VALUE USING MACHINE LEARNING ALGORITHMS

... Since the original data is continuous, five regression models were trained on 80% of the curated and imputed data subset and tested on the remaining 20% to predict those continuous values. The five models used were: Support Vector Regression (SVR) [26,27], Decision Tree Regression [28], Histogram Gradient Boosting Regression (HistGradientBoost) [29], Random Forest Regression [30], and a voting regressor (an ensemble learning method that combines the [31], MSE emphasizes larger errors [31], RMSE gives a measure in the original units of the target variable [31], MedAE is robust against outliers [32], and ME highlights the worst-case prediction error [33]. ...

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Dental Composite Performance Prediction Using Artificial Intelligence

... Oates (1969, p. 959) extended the public finance dimensions of this proposition to include capitalization of the net benefits of public service and fiscal offerings in local property values. The interplay between public goods provision, taxes, land values and land use regulations (including their exclusionary effects) became a central focus of much of the subsequent literature in this branch of the Tieboutian literature (Bourassa and Wu 2022;Brasington 2017;Fischel 2002Fischel , 2006Fennel, 2006;Paulsen 2009;Saltz and Capener 2016;Scotchmer 1997;Wooder 1999). ...

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Tieboutian clubs revisited

... Coupled that with 34% of firms reporting that they face client demand for greener buildings, many construction firms fear that they will be caught in the middle of demand and high costs (Blaxter et al, 2018). Owners of a green building feel they are worth 7% more than a traditional one, which is likely due to the reduced operating costs that result from building energy-efficient structures (Bourassa, Donald, Patric, & Martin, 2012). ...

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Assessing Environmental Demands and Strategies for Implementing Sustainable Building Construction Practices in Enugu State

... Additionally, these premiums may depend on the buyer's household's characteristics (ROSIERS et al., 2007). Further research has found that environmental amenities have the highest premium in areas where the level of the environmental attribute is low (Bourassa et al., 2005). Extrapolating these findings in the context of the aridity and water scarcity in the American West, there may be a high premium for well-watered, green landscaped homes, given the relative scarcity of this resource. ...

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Spatial Discontinuities in Water Rights: Estimating Household Willingness-to-Pay for Unmetered Irrigation Water

... In order to cope with the problem of thin markets when using the repeat sales method, Guntermann et al. (2016) propose a modified repeat sales method by pairing sales of properties occurred only once within the same neighborhood or in proximity that have similar attributes, thus considering such pairs as repeat sales in order to enlarge the sample size. Furthermore, Bourassa and Hoesli (2017) introduce methods to ease the volatility of frequently published house price indices in markets with low transaction volume. Nevertheless, the wide diversity of properties regarding their attributes within the Cypriot real estate market and the limitations of the small data size combined with the constraint of incorporating sufficient location variables in the model make it practically impossible to apply this method in Cyprus, even if modified. ...

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A Proposal for a Residential Housing Price Index in Cyprus Through Analysis of Transaction-Based Data and Comparison With Existing Indices

... The variables , Y t τ and w t in (2) do not change in a short period of time; therefore, many researchers assume them as constants (Zorn, 1988;Bourassa & Yin, 2008). Bourassa and Yin (2008) and Bourassa et al. (2010) consider v as the loan-value ratio to detail user costs in the United States, and user costs can be different due to this ratio. On the basis of these two studies, the authors of the present study further revise Equation (2): ...

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HOUSE PRICES, RENTAL COSTS, AND MORTGAGE INTEREST RATES

... As shown in Table 1, most previous research mentioned above used structural and locational attributes to predict house prices. In several previous studies, accessibility attributes are considered along with structural and locational attributes (Bourassa et al., 2021;Č eh et al., 2018;Chen et al., 2017;Das et al., 2021;Gao et al., 2022;He, 2020;Mulley et al., 2016;Phan, 2018;Rostaei et al., 2020;Tan and Guan, 2021;Truong et al., 2020;Wang et al., 2019;Yang et al., 2019;Zhou, 2020). A few studies predicted house prices using structural, locational, accessibility, and economic attributes (Hong et al., 2020;Kang et al., 2021;Zhou et al., 2021). ...

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Modeling of the effect of transportation system accessibility on residential real estate prices: The case of Washington metropolitan area, USA

... It can be said that, if the factors affecting housing demand were to be categorised under two groups as micro and macro factors, micro factors would be social preferences and sociodemographic characteristics that are mostly evaluated within the framework of the household; and macro factors would be variables such as housing loans, interest rates, and taxes (Bourassa et al., 2015). ...

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Sociodemographic Determinants of Homeownership: The Case of Turkey