Spatial ML: Estimating Land Values in Phoenix (AZ)?
A neural networks that accounts for spatial correlation and time dynamics?
Recent Posts
Are Estimates of Rapid Growth in Urban Land Values an Artifact of the Land Residual Model?
New paper out: A closer look at urban land and structure values – this is important for national accounts and for analysis of real estate risk over time. With John Clapp and Jeff Cohen.
Immobilienanlagen: Angebliches Renditewunder entzaubert / Le « miracle » de l’investissement immobilier démystifié
Summary of our total return paper in German and French.
New Publication: The Total Return To Real Estate
New research accepted for publication at the Review of Financial Studies (RFS) suggests that returns to real estate are solid but not exceptional: No sign of a housing risk premium puzzle.
Nothing but hot air…
My previous website went down in flames (or rather: is now hosted in a black cloud).
Machine Learning, Architectural Styles and Property Values
New research accepted for publication at the Journal of Real Estate Finance and Economics: This paper couples a traditional hedonic model with architectural style classifications from human experts and machine learning (ML) enabled classifiers to estimate sales price premia over architectural styles, both at the building and the neighborhood-level.
Aesthetic Preferences for Residential Architecture: Finding Ground Truth with Machine Learning Approaches
This paper first collects binary classifications of house pictures from a large group of participants and then trains personalized ML classifiers for each participant.
Valuable Words: The Price Dynamics of Internet Domain Names
This article estimates the first constant quality price index for Internet domain names. The suggested index provides a benchmark for domain name traders and investors looking for information on price trends, historical returns, and the fundamental risk of Internet domain names.
