This report provides estimates of structural (demographic) housing demand at a regional level. Any assessment of … structural future housing demand relies on assumptions around (1) population growth, (2) headship rates (the typical household … size) and (3) rates of obsolescence of the housing stock. Each of these key drivers of structural housing demand is subject …

We use oil price forecasts from the Consensus Economic Forecast poll to analyze how forecasters form their expectations … role. Standard measures of forecast accuracy reveal forecasters' underperformance relative to the random walk benchmark …

forecasters combine different models of exchange rate forecasting, while others rely solely on one model. We also find evidence … that some forecasters underly a bias, while others do not. Overall, our regression results indicate a high degree of …

for classical demand functions. We then introduce reference price models and demonstrate that for this class of demand … repeat the success of revenue management in practice if reference price effects are included in the demand model and the …

This paper examines the corporation tax forecasting techniques used by the Institute for Fiscal Studies. For current … year forecasts a judgemental forecast is found to have performed better than relying solely on a simple model or … information on the receipts available so far in the current financial year. For longer time horizons the judgemental forecast has …

pools, and use it to investigate the relative forecasting performance of dynamic stochastic general equilibrium (DSGE … react in a timely fashion to changes in the environment, leading to real-time forecast improvements relative to other … methods of density forecast combination, such as Bayesian model averaging, optimal (static) pools, and equal weights. We show …

The increasing use of demand-side management as a tool to reliably meet electricity demand at peak time has stimulated … the growing literature on models used to study demand, consumer baseline (CBL) and demand response in the electricity … market. After characterizing the general demand models, it reviews consumer baseline based on which further study the demand …

relationship between a change in trend growth rates and forecast bias, as suggested in the literature, breaks down when only …-cycle states. We show that forecasts for recessions are subject to a large negative systematic forecast error (forecasters … overestimate growth), while forecasts for recoveries are subject to a positive systematic forecast error. Forecasts made for …

contributes to the emerging field of media economics by studying how the demand side of the media market affects news production … coverage is likely to dominate positive news stories because of demand side effects. …