and subsidiaries of the world's biggest manufacturing, energy, and utility companies. Our results suggest that financial …

probabilities with a simple GDP forecasting model yields an accurate nowcast for the steepest decline in GDP in 2009Q1 and a correct …

This paper conducts a broad-based comparison of iterated and direct multi-step forecasting approaches applied to both … factor-augmented vector autoregression approach, improves forecasting performance for many variables, particularly at short …

restore competitiveness, avoid carbon leakage, and reduce world carbon emissions. We analyze the effects of carbon tariffs on … massively shifted from these countries to industrialized countries and world carbon emissions decrease by 0.83 percent, with a … percent of the change on average, two thirds of the world reduction are due to the world scale effect …

For forecasting and economic analysis many variables are used in logarithms (logs). In time series analysis this … beneficial for forecasting. Forecasts based on the original series are compared to forecasts based on logs. It is found that it … substantial forecasting improvements from taking logs are found if the log transformation actually stabilizes the variance of the …