We develop a programming algorithm that predicts a balanced-panel mix-adjusted house price index for arbitrary spatial units from repeated cross-sections of geocoded micro data. The algorithm combines parametric and non-parametric estimation techniques to provide a tight local fit where the...

This study aims at identifying guests’ willingness to pay for characteristics of listings on Airbnb, putting a particular emphasis on trust-building information provided by the platform. In order to do so, a hedonic regression model is applied to an extensive dataset that was gathered in 2017...

Disequilibrium in the housing market can be detected by comparing the actual price-rent ratio with its equilibrium counterpart obtained from the user-cost condition. Empirical implementation of this idea, however, is problematic because of quality differences between sold and rented dwellings....