Competitive producers hold inventories to reduce costs of adjusting pr
oduction and to reduce marketing costs by facilitating scheduling and
avoiding stockouts. Using data for copper, heating oil, and lumber, I
estimate these costs within a structural model of production, sales, a
nd storage, and I study their implications for inventory and price beh
avior. Unlike earlier studies, this work focuses on homogeneous and fu
ngible commodities. This avoids aggregation problems, and it allows th
e use of direct measures of units produced, rather than inferences fro
m dollar sales. Also, I estimate Euler equations and allow the margina
l value of storage to be a convex function of the stock. This fits the
data better, and helps explain the role of storage. Finally, I use fu
tures prices to directly measure the marginal value of storage. I find
a production-smoothing role for inventories only for heating oil, and
during periods of low or normal prices. A more important role is to r
educe marketing costs.