We construct a new "list-price index" that uses the repeat-sales approach to measure house prices but for recent months uses listings data instead of transactions data. Because listings data describe the current offering price and are available essentially in real time, our index is more timely...

In this paper we use two years worth of daily housing platform data (October 2018 to September 2020) to construct early market indicators for London and Vienna. The timing of the dataset allows us to track the influence of the Covid-19 pandemic almost in real time. In particular, we construct...

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...