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.
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.