Forecasting Inflation with Forecast Combinations: Using Neural Networks in Policy

摘要: Forecasting is a key activity for policy makers. Given the possible complexity of processes underlying targets, such as inflation, output gaps, or employment, and difficulty forecasting in real time, recourse often taken to simple models. A dominant feature models their linearity. However, recent evidence suggests that simple, though non-linear, may be at least competitive linear ones macro variables.