The Risk Reduction Role of Advertising

This study shows theoretically and empirically that exposure to advertising increases consumers’ tendency to purchase the promoted product because the informative content of advertising resolves some of the uncertainty that the risk averse consumers face and thus reduces the risk associated with the product. We call this effect the “risk-reduction” role of advertising. The risk-reduction model implies that advertising effectiveness depends on (a) the risk preference parameter, (b) the precision of the advertising message, (c) the familiarity of the consumer with the product, (d) the consumer’s sensitivity to products’ attributes (and thus, her involvement level with the product), and (e) the diversity of products offered by multiproduct firms. These findings suggest that ads spending should be higher (a) for new and relatively unknown products, (b) for high-involvement products, (c) when ads can be quite precise, and (d) when the firm offers a diverse product-line. It also implies that ads should target consumers (a) who are more sensitive to risk, (b) who are more involved, and (c) those who are not familiar with the promoted product. The model allows ads to affect choices also through a direct effect on the utility (i.e., the standard approach to formulate the effect of advertising). In our empirical example (where the products are television shows) the risk-reduction effect is significant and strong and the direct effect is negligible behaviorally. We discuss the welfare implications of these findings, and illustrate the quantitative differences in managerial implications between our model and the traditional one. Copyright Springer Science+Business Media, Inc. 2004advertising, information, uncertainty, risk aversion, familiarity, involvement,

Demand Uncertainty and Cost Behavior

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