Abstract
Abstract I investigate the properties of output gaps in New Keynesian dynamic stochastic general equilibrium models and study the relationship between theory-based quantities and the estimates obtained with standard approaches. Theoretical gaps display low-frequency variations, have similar frequency domain representations as potentials and are generally correlated with them. Potentials have important business cycle variability. Existing statistical approaches fail to recognise these features and generate distorted estimates. Gaps are best estimated with a polynomial filter. Explanations for the outcomes are given. I propose a statistical procedure reducing estimation biases.