Results 61 to 70 of about 11,189 (219)
Explainable spatial machine learning for hedonic real estate modeling
Real Estate Economics, EarlyView.Abstract Accurately modeling rents and prices is a key challenge in real estate analysis. Traditional linear models may fail to capture complex non‐linear relationships, and spatial dependencies are often ignored in existing machine‐learning approaches.
Tim Gyger +5 more
wiley +1 more source
Spatial Autocorrelation in a Retail Context [PDF]
This paper describes and applies the weighted least squares (WLS) technique that corrects for spatial autocorrelation in the residuals of hedonic regressions. Most empirical studies to date have focused on spatial autocorrelation in the housing market, i.
Charles C. Cartern, William J. Haloupek
core
Hurricane‐induced risk contagion in commercial real estate: Evidence from Hurricane Sandy
Real Estate Economics, EarlyView.Abstract This study examines how hurricane‐induced destruction affects the prices of nearby undamaged commercial real estate properties, using Hurricane Sandy as a natural experiment. Using Real Capital Analytics transaction records spatially merged with Federal Emergency Management Agency building‐level damage data, we empirically employ a difference ...
Lu Fang +3 more
wiley +1 more source
Spatial Competition and Farm Tourism - A Hedonic Pricing Model [PDF]
Changes in EU agricultural policies towards additional focus on rural development issues raise questions regarding the economic impact of local/spatial competition. Traditionally, farmers have typically been price takers in markets for major agricultural
Andersson, Hans, Hoffmann, Ruben
core +1 more source
How much are you willing to pay to avoid lockdowns? Evidence from the real estate market
Real Estate Economics, EarlyView.Abstract In response to the COVID‐19 pandemic, numerous countries implemented lockdowns. In Victoria, Australia, a unique two‐tier system was employed, segregating areas with a Ring of Steel boundary and imposing additional restrictions within. This study focuses on the impact of lockdowns on housing prices and rents, exploring whether people are ...
Jian Liang, Chyi Lin Lee, Qiang Li
wiley +1 more source
Exploring the land market in the province of Noord-Holland using a spatial explanatory regression model [PDF]
This paper focuses on rural land prices. Different actors and factors influence land prices. Buurman (2003) has analysed, categorised, and used them to explain spatial differences in transaction prices of parcels using a GIS-based linear regression model.
Adri Vanden Brink +3 more
core
Structural change in the US office market after 2019: Evidence from lease‐level data
Real Estate Economics, EarlyView.Abstract This article examines how the leasing activities, contract features, and pricing of the Class A office leasing market have evolved since 2019 across five major US markets: Los Angeles, the Bay Area, Dallas, Washington, DC, and New York City. Using a granular dataset of 73,508 office leases from 2010 to 2024, we find a broad‐based contraction ...
Liang Peng, Xue Xiao
wiley +1 more source
Influence of urban forests on residential property values: A systematic review of remote sensing-based studies. [PDF]
Heliyon, 2023 Ewane EB +16 more
europepmc +1 more source
The role of space in urban housing market [PDF]
This presentation emphasizes the quantitative analysis of space in relation to hedonic housing price models. Three aspects of space will be highlighted: i) spatial heterogeneity (spatial patterns): hedonic housing amenities may be valued differently in ...
Arnab Bhattacharjee +2 more
core
Real Estate Economics, EarlyView.Abstract We estimate the price impact of very nearby concurrently listed properties in the Sydney housing market and assess their competition effects. We apply a hedonic model with spatiotemporal effects regularized via a graph Laplacian prior at the month‐by‐SA2 regional level to seven SA4 subregions of metropolitan Sydney. The model structure enables
Willem P. Sijp, Mengheng Li
wiley +1 more source