Boosting the Accuracy of Commercial Real Estate Appraisals: An Interpretable Machine Learning Approach Article

Deppner, Juergen, von Ahlefeldt-Dehn, Benedict, Beracha, Eli et al. (2023). Boosting the Accuracy of Commercial Real Estate Appraisals: An Interpretable Machine Learning Approach . JOURNAL OF REAL ESTATE FINANCE AND ECONOMICS, 10.1007/s11146-023-09944-1

Open Access International Collaboration

cited authors

  • Deppner, Juergen; von Ahlefeldt-Dehn, Benedict; Beracha, Eli; Schaefers, Wolfgang

sustainable development goals

authors

publication date

  • March 22, 2023

published in

keywords

  • Appraisal
  • BIG DATA
  • Business & Economics
  • Business, Finance
  • Commercial real estate
  • Economics
  • Interpretable machine learning
  • MASS APPRAISAL
  • MODEL
  • OFFICE RENT
  • PRICES
  • PROPERTY
  • RANDOM FOREST
  • REGRESSION
  • Social Sciences
  • Urban Studies
  • VALUATION

Digital Object Identifier (DOI)

publisher

  • SPRINGER