We analyze the exchange rate forecasting performance under the assumption of selective attention. Although currency … for the presence of selective attention offer improved fitting and forecasting results. Specifically, we document a …

conduct a pseudo out-of-sample forecasting experiment for the monthly growth rate of Bavarian industrial production. We find … conventional indicators in a monthly forecasting experiment. Exploiting the high-frequency nature of the data, we find that the … avenue to measure and forecast regional economic activity. …

paper considers ways of using high-dimensional data in forecasting. We consider selecting variables from a known active set …-dimensional setting with an application to forecasting UK inflation at different horizons over the period 2020q1-2023q1. This application …

of four main indexes: Solidarity (S), Agency (A), GDP (material Gain, G) and Environmental sustainability (E) - to …

information. We explore several new forecasting approaches for the U.S. retail price of gasoline and compare their accuracy with … 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 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. …

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