Forecasting the Prices and Rents for Flats in Large German Cities
Konstantin Kholodilin () and
No 1207, Discussion Papers of DIW Berlin from DIW Berlin, German Institute for Economic Research
In this paper, we make multi-step forecasts of the monthly growth rates of the prices and rents for flats in 26 largest German cities. Given the small time dimension, the forecasts are done in a panel-data format. In addition, we use panel models that account for spatial dependence between the growth rates of housing prices and rents. Using a quasi out-of-sample forecasting exercise, we find that both pooling and accounting for spatial effects helps to substantially improve the forecast performance compared to the benchmark models estimated for each of the cities separately. In addition, a true out-of-sample forecasting of the growth rates of flats' prices and rents for the next six months is done. It shows that in most cities both prices and rents for flats are going to increase. In some cities, the average monthly growth rate even exceeds 1%, which is a very strong increase compared to the overall price level increase of about 2% per year.
Keywords: Housing prices; housing rents; forecasting; dynamic panel model; spatial autocorrelation; German cities (search for similar items in EconPapers)
JEL-codes: C21 C23 C53 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-for and nep-ure
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Persistent link: /RePEc:diw:diwwpp:dp1207
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