The increasing availability of geospatial data (i.e., exact longitudes and latitudes for each house) has the potential to improve the quality of house price indexes. It is not clear though how best to use this information. We show how geospatial data can be included as a nonparametric spline...

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...

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...

This paper estimates and compares methods of constructing disaggregated house price indices from existing house price models using individual sales data for Sydney. Nine alternative house price models are selected to cover the most frequently used methods in the literature: the mean model,...

The paper discusses the impact of distressed sales on recent estimates of house price changes in California. Using information from Notice of Default (NOD) filings in that state, the paper compares the usual FHFA HPI against an index computed after removing sales occurring after NOD filings. The...

Purpose ‒ The aim of this paper is to demonstrate the application of robust techniques to the estimation of hedonic house price indexes.Design/methodology/approach ‒ We use simulation analysis to compare an index estimated using ordinary least squares (OLS) with several indexes estimated...

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,...

We introduce a novel, non-parametric approach for estimating house price indices that capture heterogeneous price developments independently of strict functional form assumptions. Utilizing the potential outcomes framework, our approach employs causal forests to effectively address changes in...