By splitting the spatial effects into building and neighborhood effects, this paper develops a two order spatio-temporal autoregressive model to deal with both the spatio-temporal autocorrelations and the heteroscedasticity problem arising from the nature of multi-unit residential real estate...

This paper seeks to let data define urban housing market segments, replacing the conventional administrative or any pre-defined boundaries used in the previous housing submarket literature. We model housing transaction data using a conventional hedonic function. The hedonic residuals are used to...

Recent real estate literature has not only proposed a few theories to explain the puzzling macro feature of the positive correlation between price and transaction volume, but also attempted to identify the causal relationships between them. However, there is little empirical evidence to...

This paper adopts a search model to examine individual seller’s pricing strategy under two market conditions: first, sellers have reference-dependent utility; second, the housing market is less heterogeneous, such as multi-unit residential market. Acknowledging the fact that units in the same...

Recent work on stock splits have attempted to relate the information value associated with splits with that from dividends signaling. This paper extends this genre of research by evaluating the issue of dividend predictability using REIT data where the self-selection issue associated with...