AbstractThis paper tests the well‐known real business cycle model of Kydland and Prescott (1988), using spectral methods for linear filters. Model spectra, coherencies, phase shifts, and correlations are tested against US post‐war data using both asymptotic and small‐sample distributions. Compared with the model, the data have shorter business cycles, smaller co‐movements of different macro variables, and less of a leading role for