... Roads region of Virginia, the authors employed a hedonic pricing model and a quantile regression approach to examine the impact of biodiversity on house prices. Findings The analysis reveals a statistically significant positive association between bird biodiversity and house prices...

... of infectious diseases and GPRs on house prices across different market conditions using the quantile regression approach. This technique enables us to examine the nonlinear asymmetric effects of GPRs and infectious diseases on both global and regional house price indexes using daily data from January 1, 2011...

.... Considering the spatial externalities of apartment vacancy rates, the apartment vacancy rates of surrounding buildings did not show any statistical significance. Moreover, quantile regression results indicate that although the bottom 10% of apartment rent levels showed a negative correlation with all vacancy...

... macroeconomic, 8 markets and 1 pandemic) variables are included in the analysis. Moreover, the residential property price index for new dwellings (NRPPI) and the residential property price index for old dwellings (ORPPI) are considered for robustness checks. Design/methodology/approach A quantile regression...

... the main factors that affect the house prices in Izmir, Turkey using the quantile regression and ordinary least square approaches. Sample data about the housing market for Izmir collected from the web pages of various real estate agencies during June 2018. Following this, the quantile regression...

... provide a geographical perspective of valuation research. Quantile regression Bibliometrics Hedonic price modeling Geographic information system Spatial regression Geographically weighted regression Artificial neural network Real estate is defined as the land, along with all human-made...

... the non-linear impact of uncertainty variables on housing price instability, we conduct quantile regression to compare the impacts’ differences at low, middle and high levels of housing price instability. Third, to estimate the linear relationship between uncertain variables and housing price...

... tests, but novel Fourier quantile unit root test was not used. New results were obtained based on this unit root test, that, as a priori knowledge, will help benefiting from the positive effects, or avoiding being victimized by the negative effects. Quantile regression House prices Fourier...

.... This paper uses a quantile regression (QR) approach that provides a “more complete” depiction of the marginal impacts for different quantiles of the price distribution using sales data obtained from 3,780 house sales transactions within the Belfast Housing market over 2014. Findings The findings emerging...

... Licensed re-use rights only The purpose of this paper is to address the heterogeneity of real estate assets with regard to investment risk measurement, with Paris’ apartment market as a case study. Quantile regression is used to handle the fact that willingness to pay for housing attributes...