L abels certify that a product meets some standard for quality, but often consumers are unsure of the exact standard that the label represents. Focusing on the case of ecolabels for environmental quality, we show how even small amounts of uncertainty can create consumer confusion that reduces or eliminates the value to firms of adopting voluntary labels. First, consumers are most suspicious of a label when a product with a bad reputation has it, so labels are often unpersuasive at showing that a seemingly bad product is actually good. Second, label proliferation aggravates the effect of uncertainty, causing the informativeness of labels to decrease rather than increase. Third, uncertainty makes labeling and nonlabeling equilibria more likely to coexist as the number of labels increases, so consumers face greater strategic uncertainty over how to interpret the presence or absence of a label. Finally, a label can be legitimitized or spoiled for other products when a product with a good or bad reputation displays it, so firms may adopt labels strategically to manipulate such information spillovers, which further exacerbates label confusion. Managers can reduce label confusion by supporting mandatory labeling or by undertaking investments to make certain labels "focal."
In equilibrium play of a two‐round tournament, we find that underdogs exert more effort in the opening round whereas favorites save more effort for the final. Ability differences are therefore compressed in the opening round so upsets are more likely and amplified in the final so blowouts are more likely. Measures that reduce the need to strategically allocate effort make for a more exciting final but a less exciting opening round. Consistent with the model, introduction of a rest day between matches in the NCAA men's basketball tournament increased the favorite's victory margin in the semifinals by about five points.(JEL L83, D72)
Abstract. In signaling environments ranging from consumption to education, high quality senders often shun the standard signals that should separate them from lower quality senders. We find that allowing for additional, noisy information on sender quality permits equilibria where medium types signal to separate themselves from low types, but high types then choose to not signal or countersignal. High types not only save costs by relying on the additional information to stochastically separate them from low types, but countersignaling itself is a signal of confidence which separates high types from medium types. Experimental results confirm that subjects can learn to countersignal.
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