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....

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 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...

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...

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...

The main purpose of this study is to investigate whether there is a long-run relationship between macroeconomic indicators and property price index in Dubai. This paper uses the monthly data for the eight year period from January 2003 to December 2010. In order to identify long term equilibrium...

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...

Residential house price indexes (HPI) are used for a large variety of macroeconomic and microeconomic research and policy purposes, as well as for automated valuation models. As is well known, these indexes are subject to substantial revisions in the months following the initial release, both...

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...