Bayesian estimation of a DSGE model with inventories

This paper introduces inventories in an otherwise standard Dynamic Stochastic General Equilibrium Model (DSGE) of the business cycle. Firms accumulate inventories to facilitate sales, but face a cost of doing so in terms of costly storage of intermediate goods. The paper's main contribution is to present a DSGE model with inventories that is estimated using Bayesian methods. Based on US data we show that accounting for inventory dynamics has a significant impact on parameter estimates and impulse responses. Our analysis also reveals that the contribution of structural shocks to variations in the observable variables changes significantly when we allow for inventories. Moreover, we find that inventories enter the Phillips curve as an additional and significant driving variable of inflation and make the inflation process less backward-looking.