The repeat sales model is commonly used to construct reliable house price indices in absence of individual characteristics of the real estate. Several adaptations of the original model are proposed in literature. They all have in common using a dummy variable approach for measuring price...

We propose a new and intuitive risk-neutral valuation model for real estate derivatives which are linked to autocorrelated indices. We model the observed index with an autoregressive model which can be estimated using standard econometric techniques. The resulting index behavior can easily be...

A new data set is employed to construct an index of the Swiss rental residential market starting as early as 1936. Given the data sample at our disposal of slightly less than 1000 paired data points spread across all Switzerland, we focus on using the most efficient type of repeated-measurement...

This paper examines what determines the correlation between prices and turnover in European housing markets. Using a panel vector auto-regressive model, we find that there is a particularly strong feedback mechanism between prices and turnover. Momentum effects are another important reason why...

Price indices based on repeat sales are the most widely used type of real estate index based on asset transaction prices. But such indices are particularly prone to revision. When a new period of transaction data becomes available and is used to update the repeat sales model, all past index...

State space models with nonstationary processes and fixed regression effects require a state vector with diffuse initial conditions. Different likelihood functions can be adopted for the estimation of parameters in time series models with diffuse initial conditions. In this paper we consider...

Geographically and temporally granular housing price indexes are difficult to construct. Data sparseness, in particular, is a limiting factor in their construction. In this paper, we introduce a new methodology to construct Census tract level indexes on a quarterly basis that can accommodate...