Factor models are effective in forecasting economic growth in the Euro Area. Three different factor model approaches were tested, with the collapsed dynamic factor model showing the highest forecast accuracy. These models consistently outperformed the benchmark autoregressive model, even during the financial crisis. The improvements in forecast precision ranged up to 77% in mean square error reduction, depending on the country and forecast horizon.