This paper investigates how changes to the age distribution of cities' resident popu-lations shape the growth rate of local house prices in different market segments. For estimation purposes, we combine city-level demographic information with de-tailed housing price data for 87 German cities...

This paper develops a model of the housing market that takes account of population density to assess the impact of population changes on the value and size of the housing stock. The model implies that if population density is on an upward trajectory, rises in population and in incomes...

This paper investigates how changes to the age distribution of cities' resident popu-lations shape the growth rate of local house prices in different market segments. For estimation purposes, we combine city-level demographic information with de-tailed housing price data for 87 German cities...

This paper develops a model of the housing market that takes account of population density to assess the impact of population changes on the value and size of the housing stock. The model implies that if population density is on an upward trajectory, rises in population and in incomes...

The 2006 sudden and immense downturn in U.S. House Prices sparked the 2007 global financial crisis and revived the interest about forecasting such imminent threats for economic stability. In this paper we propose a novel hybrid forecasting methodology that combines the Ensemble Empirical Mode...

The 2006 sudden and immense downturn in U.S. House Prices sparked the 2007 global financial crisis and revived the interest about forecasting such imminent threats for economic stability. In this paper we propose a novel hybrid forecasting methodology that combines the Ensemble Empirical Mode...

We show that house prices from Aberdeen in the UK improve in- and out-of-sample oil price forecasts. The improvements are of a similar magnitude to those attained using macroeconomic indicators. We explain these forecast improvements with the dominant role of the oil industry in Aberdeen. House...

I propose a new model, conditional quantile regression (CQR), that generates density forecasts consistent with a specific view of the future evolution of some variables. This addresses a shortcoming of existing quantile regression-based models, for example the at-risk framework popularised by...

We show that house prices from Aberdeen in the UK improve in- and out-of-sample oil price forecasts. The improvements are of a similar magnitude to those attained using macroeconomic indicators. We explain these forecast improvements with the dominant role of the oil industry in Aberdeen. House...

I propose a new model, conditional quantile regression (CQR), that generates density forecasts consistent with a specific view of the future evolution of some variables. This addresses a shortcoming of existing quantile regression-based models, for example the at-risk framework popularised by...