even more pronounced at longer forecasting horizons (the forecast accuracy gain as measured by the root mean squared … spatial dependence structure into regional forecasting models, especially, when long-term forecasts are made. …

In this paper, we evaluate the forecasting ability of 115 indicators to predict the housing prices and rents in 71 … tested in a framework of a quasi out-of-sample forecasting. Its results are quite heterogeneous. No single indicator appears …

predict the dynamics of home rents and prices in the nearest future. In this paper, we evaluate the forecasting ability of 115 … framework of a quasi out-of-sample forecasting. Its results are quite heterogeneous. No single indicator appears to dominate all …

slack or oil price fluctuations, motivated by a novel interpretation of the forecasting implications of the workhorse open …

conjunction with the macroeconomic forecasting method to investigate how profit levels in the Turkish manufacturing industry are …

shown that effect of accounting for spatial dependence is even more pronounced at longer forecasting horizons (the forecast …-year horizon). -- Chinese provinces ; forecasting ; dynamic panel model ; spatial autocorrelation ; group-specific spatial …

-of-sample forecasting exercise, we find that both pooling and accounting for spatial effects helps to substantially improve the forecast …-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 … ; forecasting ; dynamic panel model ; spatial autocorrelation ; German cities …

Forecasting regional variables provides very important information for political, institutional and economic agents …

In this paper, we evaluate the forecasting ability of 145 indicators and ten types of forecast combination schemes to … different predictors is tested in a framework of a quasi out-of-sample forecasting. Its results are quite heterogeneous. No … surveys. We also find that combinations of individual forecasts are consistently selected among the top forecasting models …