• Corpus ID: 236924471

House Price Determinants and Market Segmentation in Boulder, Colorado: A Hedonic Price Approach

@inproceedings{Yazdani2021HousePD,
  title={House Price Determinants and Market Segmentation in Boulder, Colorado: A Hedonic Price Approach},
  author={Mahdieh Yazdani},
  year={2021}
}
In this research we perform hedonic regression model to examine the residential property price determinants in the city of Boulder in the state of Colorado, USA. The urban housing markets are too compounded to be considered as homogeneous markets. The heterogeneity of an urban property market requires creation of market segmentation. To test whether residential properties in the real estate market in the city of Boulder are analyzed and predicted in the disaggregate level or at an aggregate… 
Machine Learning, Deep Learning, and Hedonic Methods for Real Estate Price Prediction
In recent years several complaints about racial discrimination in appraising home values have been accumulating. For several decades, to estimate the sale price of the residential properties,

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