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A Big Data–Based Geographically Weighted Regression Model for Public Housing Prices: A Case Study in Singapore
16 references·3 citing·36 second hop
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References

  • 1974Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition10,715 cited
  • 1966A New Approach to Consumer Theory8,466 cited
  • 1976A New Approach to Consumer Theory6,913 cited
  • 2002Geographically Weighted Regression: The Analysis of Spatially Varying Relationships3,946 cited
  • 1996Geographically Weighted Regression: A Method for Exploring Spatial Nonstationarity3,562 cited
  • 1998A Generalized Spatial Two-Stage Least Squares Procedure for Estimating a Spatial Autoregressive Model with Autoregressive Disturbances1,979 cited
  • 2010Geographically and temporally weighted regression for modeling spatio-temporal variation in house prices1,501 cited
  • 1998Geographically Weighted Regression: A Natural Evolution of the Expansion Method for Spatial Data Analysis1,154 cited
  • 2005Distinguishing addiction and high engagement in the context of online game playing946 cited
  • 2011Researching Volunteered Geographic Information: Spatial Data, Geographic Research, and New Social Practice864 cited
  • 1992Specification and estimation of hedonic housing price models582 cited
  • 1988DO SPATIAL EFFECFS REALLY MATTER IN REGRESSION ANALYSIS?568 cited
  • 1998Analysis of Spatial Autocorrelation in House Prices555 cited
  • 2014Geographically weighted regression with a non-Euclidean distance metric: a case study using hedonic house price data

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403 cited
  • 1988Do spatial effects really matter in regression analysis319 cited
  • 1999Hedonic analysis of housing markets300 cited
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    • 2022The Research Development of Hedonic Price Model-Based Real Estate Appraisal in the Era of Big Data69 cited
    • 2021Housing price variations using spatio-temporal data mining techniques62 cited
    • 2023Déficit de la vivienda en el Gran Santiago: evidencia empírica sobre conflictos y argumentos para repensar la planificación metropolitana5 cited