relate to the forecasting environment (which cannot be influenced by the forecasters). Among the variables capturing the … forecasting design (which can, by contrast, be influenced by the forecasters), the size of the dataset from which factors are … unbalanced panel, whether restrictions implied by the factor structure are imposed in the forecasting equation or not and whether …

the beginning of 2018. They also have performed well in forecasting the direction of inflation. In terms of the …

; (iv) newer generation Phillips curve models with several timevarying features are a promising avenue for forecasting …

policy is not implemented in the same way and the NNAR models are better for inflation forecasting. …

what causes large factor models to perform better or more poorly at forecasting than other models. Our results suggest that …

forecasts, respectively. Whether forecasters rely on a balanced or an unbalanced panel and how the forecasting equation is …

agreed. In short, forecasting inflation is of foremost importance to households, businesses, and policymakers. In 2016, the …

forecasting of inflation in Nigeria for the period of 1961 { 2016. The study employed Granger causality test, Au- toregressive … inflation threshold of 14% -15% both in the short run and long run was established for Nigeria. As for the forecasting of …