In Housing Economics, filtering is the process by which properties, as they age, depreciate in quality and hence price and thus tend to be purchased by lower-income households. This is the primary mechanism by which competitive markets supply low-income housing. While at the national level...

We introduce new methodology for constructing real estate rent indices. Using unique data on contract rents from six Indian metropolitan markets, we pair subsequent rented units in the same building to create over 12,000 pseudo repeat rent pairs. We impose an autoregressive structure on the log...

We present a mixed frequency repeat sales model for commercial real estate, taking into account changes in net operating income between the date of buying and selling the property. Moreover, we relate monthly private market index asset returns to lags, up to one year, of daily REIT returns. The...

Purpose – It is important to forecast index series to identify future rises, falls, and turning points in the property market. From the point of this necessity and importance, the main purpose of this paper is to forecast the future trends in Dubai housing market. Design/methodology/approach...

When estimating hedonic models of housing prices, the use of time series cross-section repeat sales data can provide improvements in estimator efficiency and correct for unobserved characteristics. However, in cases where serial correlation is present, the irregular timing of sales should also...

In this article, we use tests of explosive behavior in real house prices with annual data for the case of Australia for the period 1870-2020. The main contribution of this paper is the use of very long time series. It is important to use longer span data because it offers more powerful...

With the aid of econometric modeling, I investigate whether rapidly increasing house prices necessarily imply the existence of a bubble that will eventually burst. I consider four alternative econometric methods to construct indicators of housing market imbalances for the US, Finland and Norway....

We use a time-varying parameter dynamic factor model with stochastic volatility (DFM-TV-SV) estimated using Bayesian methods to disentangle the relative importance of the common component in FHFA house price movements from state-specific shocks, over the quarterly period of 1975Q2 to 2017Q4. We...

Prior to the financial crisis in the mid-2000, house prices increased dramatically and most economists agree that part of the increase in Danish house prices can be characterized as a house- price bubble. The emergence of a house-price bubble can have sizeable implications for macroeconomic as...