Most existing house price index construction methods are developed manly based on transaction data from the secondary housing markets, and are not necessarily suitable for the nascent housing markets where a predominant portion of housing transactions are new units. Using the booming market in...

Hedonic house price indices adjust the average sales prices for the change in the quality of the property sold over time. This paper proposes a framework to disentangle the contribution of each individual dwelling characteristic to this quality change. We apply our framework to a unique dataset...

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...

This study presents the detailed method of the MNB's house price index and the results of the new price indices. The index family is considered to be a novelty among Hungarian housing market statistics in several regards. Firstly, the national index was derived from a database starting in 1990,...

Hedonic regressions are used for residential property price index (RPPI) measurement to control for changes in the quality-mix of properties transacted. This paper consolidates the confusing array of existing approaches and methods of implementation. It further develops an innovative form of...