Forecasting GDP with the Leading Indicators: A VAR Approach

The Conference Board’s Leading Economic Indicators Index suffers from construction flaws, which reduce its predictive power as well as one’s ability to interpret its signals. This paper develops a vector autoregression model to address these problems. The model’s out-of-sample GDP forecasts, using revised data, are found to outperform other private-sector forecasters on average over the period considered.