Boosting the accuracy of commercial real estate appraisals: an interpretable machine learning approach

HIGHLIGHTS

• who: Juergen Deppner from the University of Regensburg, IRE have published the research: Boosting the Accuracy of Commercial Real Estate Appraisals: An Interpretable Machine Learning Approach, in the Journal: (JOURNAL)
• what: The authors examine the accuracy and bias of market valuations in the U.S. commercial real estate sector using properties included in the NCREIF Property Index (NPI) between 1997 and 2021 and assess the potential of machine learning algorithms (i.e. boosting trees) to shrink the deviations between market values and subsequent transaction prices. This article contributes to the existing literature by providing an . . .
  

   

  

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