Abstract
This paper investigates dynamic asymmetries in house price cycles. We introduce an ad-hoc nonlinear model to capture real estate cycles. The suggested model involves a particular parametrization of the transition function used in the transition equation of a smooth transition autoregressive model which improves the fit in the non-central probability region. The dynamic symmetry in house price cycles is strongly rejected for the housing markets taken into consideration. Further, our results show that the proposed model performs well in a out of sample forecasting exercise.
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