We show how a method that has been applied to commercial real estate markets can be used to produce high frequency house price indexes for a city and for submarkets within a city. Our application of this method involves estimating a set of annual robust repeat sales regressions staggered by...

Purpose:The article analyzes the effects of the COVID-19 pandemic on house prices.Design/Methodology/Approach:We start by discussing the possibility that house price indexes may not fully incorporate the effects of the pandemic as of yet. Against the background of the pandemic, we then analyze...

We explore long-term patterns of the house price-income relationship across the 70 largest U.S. metropolitan areas. In line with a standard spatial equilibrium model, our empirical findings indicate that house price-income ratios are typically not stable even over the long run. In contrast,...

Using data for 70 U.S. metropolitan areas, this study explores spatial heterogeneity in house price dynamics. We use recent advances in panel econometrics that allow for spatial heterogeneity, cross-sectional dependence, and non-stationary but cointegrated data. We test for spatial differences...

We review the main studies on house price synchronization and conduct an empirical analysis using OECD house price indices. We provide a discussion of the contributing factors of synchronization, with a focus on the demand and supply dimensions. Synchronization across both countries and cities...

This paper studies actual house prices relative to fundamental house prices. Using UK data and a time-varying present value approach, we find that deviations of house prices fromtheir fundamental value (as warranted by real disposable income) are significant but not dominated by speculative...

This paper tests whether out-of-sample hedonic value predictions can be improved when a large urban housing market is divided into submarkets.

We maintain that the appropriate definition of submarkets depends on the use to which they will be put. For mass appraisal purposes, submarkets should be defined so that the accuracy of hedonic predictions will be optimized. Thus we test whether out-of-sample hedonic value predictions can be...

Purpose – We use a large and rich data set consisting of over 123,000 single-family houses sold in Switzerland between 2005 and 2017 to investigate the accuracy and volatility of different methods for estimating and updating hedonic valuation models.Design/methodology/approach – We apply six...