Publication | Closed Access
Demand Uncertainty and Cost Behavior
248
Citations
65
References
2013
Year
Consumer UncertaintyEngineeringCapacity ChoiceInventory TheoryCost BehaviorPricing PolicyUncertainty QuantificationCost EngineeringSearch CostsEconomic AnalysisCongestion CostsCost ManagementStatisticsDemand ManagementEconomicsDynamic PricingShip Cost EstimationCost IssueBusinessUncertainty Management
Demand uncertainty increases the likelihood of unusually high demand realizations, prompting firms to adopt higher fixed‑input capacity to mitigate congestion costs. The study investigates whether firms experiencing higher demand uncertainty exhibit a more rigid short‑run cost structure characterized by higher fixed and lower variable costs. Using a simple analytical capacity‑choice model and empirical tests on Compustat and NBER‑CES data, the authors examine this relationship. Results confirm that higher demand uncertainty is associated with higher fixed and lower variable costs across multiple cost categories, and the findings are robust to alternative specifications. All data used in this study are available from public sources.
ABSTRACT We investigate analytically and empirically the relationship between demand uncertainty and cost behavior. We argue that with more uncertain demand, unusually high realizations of demand become more likely. Accordingly, firms will choose a higher capacity of fixed inputs when uncertainty increases in order to reduce congestion costs. Higher capacity levels imply a more rigid short-run cost structure with higher fixed and lower variable costs. We formalize this “counterintuitive” argument in a simple analytical model of capacity choice. Following this logic, we hypothesize that firms facing higher demand uncertainty have a more rigid short-run cost structure with higher fixed and lower variable costs. We test this hypothesis for the manufacturing sector using data from Compustat and the NBER-CES Industry Database. Evidence strongly supports our hypothesis for multiple cost categories in both datasets. The results are robust to alternative specifications. Data Availability: All data used in this study are available from public sources.
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