In this paper, we disentangle tax revenue forecast errors into influences stemming from wrong macroeconomic assumptions … the forecast errors of the energy tax and the sales taxes. For the overall tax sum, more than two-third of the error can … can reduce tax revenue forecast errors. …

We have argued that from the standpoint of a policy maker, the uncertainty of using the average forecast is not the … that the uncertainty of the average forecast can be expressed as the disagreement among the forecasters plus the volatility … the conceptually correct benchmark forecast uncertainty. …

the period 1972:1-2014:12 to forecasts our tail risk indicators with each model in pseudo-real time. Our key finding is …

uncertainty of a combined forecast should be interpreted as that of a typical forecaster randomly drawn from the pool. With a … some previously used measures significantly underestimate the conceptually correct benchmark forecast uncertainty. …

the no-change forecast. Our key finding is that substantial reductions in the mean-squared prediction error (MSPE) of … greater reductions in MSPEs are possible by constructing a pooled forecast that assigns equal weight to five of the most …

We examine forecast accuracy and efficiency of the Social Security Administration's projections for cost rate, trust …

-switching models, and forecast combination to predict the dynamics in the S&P 500. First, we aggregate the weekly information of 115 … as predictors. Third, we pool the forecasts in clusters to hedge against model risk and to evaluate the usefulness of …, and reducing tail risk. Using the same approach for return forecasts, however, does not lead to a consistent …