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Estimation and updating methods for hedonic valuation
16 references·0 citing·39 second hop
Estimation and updating methods for hedonic valuation (2019)Estimation and updating methods for hedon…A hybrid regression technique for house prices prediction (2017)A hybrid regression technique…Big Data: New Tricks for Econometrics (2014)Big Data: New Tricks for Econ…Prediction accuracy in mass appraisal: a comparison of modern approaches (2013)Prediction accuracy in mass a…Variable selection for hedonic model using machine learning approaches: A case study in Onondaga County, NY (2012)Variable selection for hedoni…Mass appraisal of residential apartments: An application of Random forest for valuation and a CART-based approach for model diagnostics (2011)Mass appraisal of residential…A Comparison of Regression and Artificial Intelligence Methods in a Mass Appraisal Context (2011)A Comparison of Regression an…Predicting House Prices with Spatial Dependence: A Comparison of Alternative Methods (2010)Predicting House Prices with …Neural Network Hedonic Pricing Models in Mass Real Estate Appraisal (2009)Neural Network Hedonic Pricin…Spatial Dependence, Housing Submarkets, and House Price Prediction (2007)Spatial Dependence, Housing S…The Composition of Hedonic Pricing Models (2005)The Composition of Hedonic Pr…Modeling Spatial and Temporal House Price Patterns: A Comparison of Four Models (2004)Modeling Spatial and Temporal…Housing market segmentation and hedonic prediction accuracy (2003)Housing market segmentation a…Do housing submarkets really matter? (2003)Do housing submarkets really …Hedonic Pricing Models: A Selective and Applied Review (2002)Hedonic Pricing Models: A Sel…Environmental Variables and Real Estate Prices (2001)Environmental Variables and R…An Exploration of Neural Networks and Its Application to Real Estate Valuation (1995)An Exploration of Neural Netw…Subjective probability: A judgment of representativeness (1972)Mental Accounting and Consumer Choice (1985)Mental Accounting and Consumer Choice (2008)Take a Look Around (2019)Metrics for evaluating the performance of machine learning based automated valuation models (2021)Pre-owned housing price index forecasts using Gaussian process regressions (2024)Predicting Housing Value: A Comparison of Multiple Regression Analysis and Artificial Neural Networks (2001)Determinants of house prices in Turkey: Hedonic regression versus artificial neural network (2008)Estimating the Performance of Random Forest versus Multiple Regression for Predicting Prices of the Apartments (2018)A HOUSE PRICE VALUATION BASED ON THE RANDOM FOREST APPROACH: THE MASS APPRAISAL OF RESIDENTIAL PROPERTY IN SOUTH KOREA (2020)Analysis of Spatial Autocorrelation in House Prices (1998)Housing Market Segmentation (1998)Associations between Street-View Perceptions and Housing Prices: Subjective vs. Objective Measures Using Computer Vision and Machine Learning Techniques (2022)Subjective and objective measures of streetscape perceptions: Relationships with property value in Shanghai (2022)A Pure Theory of Local Expenditures (1956)Specification Tests in Econometrics (1978)Limited-dependent and qualitative variables in econometrics (1983)Impacts of urban environmental elements on residential housing prices in Guangzhou (China) (2006)Determinants of House Prices: A Quantile Regression Approach (2007)A New Approach to Consumer Theory (1966)Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition (1974)A New Approach to Consumer Theory (1976)Hedonic house prices and spatial quantile regression (2011)Monitoring housing rental prices based on social media:An integrated approach of machine-learning algorithms and hedonic modeling to inform equitable housing policies (2019)STATISTICS FOR SPATIAL DATA (1992)Statistics for Spatial Data (1993)Statistics for Spatial Data. (1993)Exploring the spatial structure of housing prices under economic expansion and stagnation: The role of socio-demographic factors in metropolitan Rome, Italy (2018)House Price Prediction Using Regression Techniques: A Comparative Study (2019)Comparing Information in Forecasts from Econometric Models (1990)An Application of Spatial Econometrics in Relation to Hedonic House Price Modeling (2010)Spatial Heterogeneity in Hedonic House Price Models: The Case of Austria (2013)Why Are There Still So Many Jobs? The History and Future of Workplace Automation (2015)Human Decisions and Machine Predictions (2017)American Economic Review (2019)Forecasting: theory and practice (2022)House Price Prediction: Hedonic Price Model vs. Artificial Neural Network (2004)Incorporating spatial variation in housing attribute prices: a comparison of geographically weighted regression and the spatial expansion method (2006)The Impact of Transit-oriented Development on Housing Prices in San Diego, CA (2010)
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References

  • 2014Big Data: New Tricks for Econometrics1,574 cited
  • 2005The Composition of Hedonic Pricing Models806 cited
  • 2002Hedonic Pricing Models: A Selective and Applied Review763 cited
  • 2003Housing market segmentation and hedonic prediction accuracy403 cited
  • 2003Do housing submarkets really matter?360 cited
  • 1995An Exploration of Neural Networks and Its Application to Real Estate Valuation266 cited
  • 2011Mass appraisal of residential apartments: An application of Random forest for valuation and a CART-based approach for model diagnostics264 cited
  • 2007Spatial Dependence, Housing Submarkets, and House Price Prediction244 cited
  • 2009Neural Network Hedonic Pricing Models in Mass Real Estate Appraisal212 cited
  • 2010Predicting House Prices with Spatial Dependence: A Comparison of Alternative Methods193 cited
  • 2004Modeling Spatial and Temporal House Price Patterns: A Comparison of Four Models186 cited
  • 2001Environmental Variables and Real Estate Prices181 cited
  • 2011A Comparison of Regression and Artificial Intelligence Methods in a Mass Appraisal Context175 cited
  • 2013Prediction accuracy in mass appraisal: a comparison of modern approaches174 cited
  • 2017A hybrid regression technique for house prices prediction

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131 cited
  • 2012Variable selection for hedonic model using machine learning approaches: A case study in Onondaga County, NY116 cited
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