... 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...

... and vacancy duration. 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...

... 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...

...Onur Özsoy; Hasan Şahin The main goal of this paper is to empirically estimate and analyze the determinants that have an impact on the prices of houses in Izmir, Turkey using the quantile regression method and micro-data belong to all districts of Izmir. The construction sector, especially...

... not explored the possibilities of geographic information system in bibliometric research. Spatial mapping and analysis of publications provide a geographical perspective of valuation research. Quantile regression Bibliometrics Hedonic price modeling Geographic information system Spatial regression...

... representation of the influence of uncertainty shocks on housing price instability. The authors set up a model of housing price instability with four uncertainty variables and apply the panel generalized method of moments method and quantile regression to estimate the linear and non-linear linkages among...

... and asymmetric behavior of house prices, a novel unit root test, namely, Fourier quantile unit root test, proposed by Bahmani-Oskooee et al. (2018) ,[ 3 ],[ 4 ] was applied. Using the quantile regression, we can allow for different speed of adjustment at various quantiles of house price distribution...

.... 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...

... structural dimensions such as the price quantile to which they belong. Consequently, quantile regression (QR) emerges as an ideal analytical tool for bringing out such divergent patterns (Zietz et al., 2008 ; Amédée-Manesme et al., 2016). In this study, we neither address...