This paper examines alternative estimation models for obtaining output gap measures for the Philippines. These measures are combined with the rates of growth of broad money, nominal wages and oil prices for forecasting inflation. We find that models which combine these leading indicators in a nonlinear way outperform other linear combinations of these variables for out-of-sample forecasting performance.
