The changing face of environmental amenities: Heterogeneity across housing submarkets and time

Farm machinery use and maize yields in China: an analysis accounting for selection bias and heterogeneity

“…Given that the UQR model enables to overcome the weakness of the CQR model, and it provides a better estimate, the UQR model is used in the present study. The UQR model has been applied recently (Ferraro et al 2018;Fernandez and Bucaram 2019;Ma et al 2020). For example, Fernandez and Bucaram (2019) employed the UQR model to examine the heterogeneous effects of environmental amenities on the housing prices in New Zealand.…”

“…The UQR model has been applied recently (Ferraro et al . 2018; Fernandez and Bucaram 2019; Ma et al . 2020).…”

“…2020). For example, Fernandez and Bucaram (2019) employed the UQR model to examine the heterogeneous effects of environmental amenities on the housing prices in New Zealand. Ferraro et al .…”

Towards a Hedonic Pricing Method for the Bucharest Private Housing Market

“…Yuan et al (2018) concluded that proximities to parks positively influence the house prices in Nanjing. As well, Laszkiewicz et al (2019) analyzed the apartment market in Lodz (Poland) and pointed out that proximity to parks and forests exert a positive impact on apartment prices, whereas Fernandez and Bucaram (2019) highlighted for Auckland, New Zealand that beaches and volcanic parks may add price premiums or price discounts, depending on the price distribution. In the same vein, Dahal et al (2019) confirmed for real estate sales for the coastal Alabama, USA, that vicinity to bays, streams, and rivers is positively valued by inhabitants.…”

“…With reference to the estimation strategy, previous papers used Box-Cox transformed models (Yang et al, 2019), fixed-effects model and random effects model (Feng and Lu, 2013), geographically weighted regression (Liang et al, 2018;Mulley et al, 2018;Yuan et al, 2018), hierarchical linear modeling (Tian et al, 2017), quantile regression (Liao and Wang, 2012;Zhang and Leonard, 2014;Kim et al, 2015;Zhang and Yi, 2017;McCord et al, 2018;Fernandez and Bucaram, 2019;Wen et al, 2019), OLS (Wen et al, 2014;Czembrowski and Kronenberg, 2016;Mulley et al, 2016;Tian et al, 2017;Wang et al, 2017;Liang et al, 2018;Yuan et al, 2018;Fernandez and Bucaram, 2019;Li et al, 2019;Wilhelmsson, 2002;Liao and Wang, 2012;Wen et al, 2014;Zhang and Leonard, 2014;D. J. Huang et al, 2015;Kim et al, 2015;Zhang and Yi, 2017;McCord et al, 2018;Wen et al, 2019;Yang et al, 2019), random intercept multi-level regression (Li et al, 2019), semi-log fixed effects regressions (Conroy and Milosch, 2011), spatial autoregressive model (Wilhelmsson, 2002;Ibeas et al, 2012;Laszkiewicz et al, 2019), spatial Durbin model ( Hui et al, 2012), spatial error model…”