A spatio-temporal model of housing prices based on individual sales transactions over time

Tony E. Smith1, Peggy Wu2
1Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, USA
2Department of Policy and Information Services, The Reinvestment Fund, Philadelphia, USA

Tóm tắt

A spatio-temporal model of housing price trends is developed that focuses on individual housing sales over time. The model allows for both the spatio-temporal lag effects of previous sales in the vicinity of each housing sale, and for general autocorrelation effects over time. A key feature of this model is the recognition of the unequal spacing between individual housing sales over time. Hence the residuals are modeled as a first-order autoregressive process with unequally spaced events. The maximum-likelihood estimation of this model is developed in detail, and tested in terms of simulations based on selected data. In addition, the model is applied to a small data set in the Philadelphia area.

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