We consider a dynamic, stochastic equilibrium business cycle model whi
ch is augmented to reflect seasonal shifts in preferences, technology,
and government purchases. Our estimated parameterization implies impl
ausibly large seasonal variation in the state of technology: rising at
an annual rate of 24% in the fourth quarter and falling at an annual
rate of 28% in the first quarter. Furthermore, our findings indicate t
hat variation in the state of technology of this magnitude is required
if the model is to explain the main features of the seasonal cycle.