[HTML][HTML] A survey of methods and input data types for house price prediction
M Geerts, J De Weerdt - ISPRS International Journal of Geo-Information, 2023 - mdpi.com
Predicting house prices is a challenging task that many researchers have attempted to
address. As accurate house prices allow better informing parties in the real estate market …
address. As accurate house prices allow better informing parties in the real estate market …
Modelling housing rents using spatial autoregressive geographically weighted regression: A case study in Cracow, Poland
M Tomal - ISPRS International Journal of Geo-Information, 2020 - mdpi.com
The proportion of tenants will undoubtedly rise in Poland, where at present, the ownership
housing model is very dominant. As a result, the rental housing market in Poland is currently …
housing model is very dominant. As a result, the rental housing market in Poland is currently …
Gap analysis in decision support systems for real-estate in the era of the digital earth
H Rabiei-Dastjerdi, G McArdle… - … Journal of Digital …, 2021 - Taylor & Francis
Searching for a property is inherently a multicriteria spatial decision. The decision is
primarily based on three high-level criteria composed of household needs, building facilities …
primarily based on three high-level criteria composed of household needs, building facilities …
A spatial autoregressive geographically weighted quantile regression to explore housing rent determinants in Amsterdam and Warsaw
A hedonic approach is typically performed to identify housing rental or sales price
determinants. However, standard hedonic regression models disregard spatial …
determinants. However, standard hedonic regression models disregard spatial …
Causal relationships between the price-to-rent ratio and macroeconomic factors: a UK perspective
D Lo, M McCord, PT Davis, J McCord… - Journal of Property …, 2022 - emerald.com
Purpose House price-to-rent (PtR) ratios are among the most widely used measures of
housing market conditions. Given the theoretical and apparent bidirectional, causal …
housing market conditions. Given the theoretical and apparent bidirectional, causal …
Spatial effects and non-linearity in hedonic modeling: Will large data sets change our assumptions?
M Cajias, S Ertl - Journal of Property Investment & Finance, 2018 - emerald.com
Purpose The purpose of this paper is to test the asymptotic properties and prediction
accuracy of two innovative methods proposed along the hedonic debate: the geographically …
accuracy of two innovative methods proposed along the hedonic debate: the geographically …
Rent/price ratio for English housing sub‐markets using matched sales and rental data
The ratio between the rental and sales values of residential properties are a much studied
statistic in the field of real estate economics. When these values do not keep pace with each …
statistic in the field of real estate economics. When these values do not keep pace with each …
Using neural network model to estimate the rental price of residential properties
Purpose Estimation of the rental price of a residential property is important to real estate
investors, financial institutions, buyers and the government. These estimates provide …
investors, financial institutions, buyers and the government. These estimates provide …
Effects of the COVID-19 pandemic and the war in Ukraine on the local housing rental market in Poland
M Hebdzynski - Journal of International Studies, 2024 - ceeol.com
The COVID-19 pandemic that started in early 2020 and the Russian invasion of Ukraine in
February 2022 caused multidimensional shocks to the housing market. Understanding their …
February 2022 caused multidimensional shocks to the housing market. Understanding their …
House price estimation using an eigenvector spatial filtering approach
MJ McCord, J McCord, PT Davis, M Haran… - International Journal of …, 2020 - emerald.com
Purpose Numerous geo-statistical methods have been developed to analyse the spatial
dimension and composition of house prices. Despite these advances, spatial filtering …
dimension and composition of house prices. Despite these advances, spatial filtering …