Shroud attributes, consumer myopia, and information suppression in competitive markets
By: Xavier Gabaix [and] David Laibson
Contributors: Laibson, David I.; Massachusetts Institute of Technology. Dept. of Economics
Series: Working paper series / Massachusetts Institute of Technology, Dept. of Economics -- working paper 05-18; Working paper (Massachusetts Institute of Technology. Dept. of Economics) -- no. 05-18.
Publisher: Massachusetts Institute of Technology, Dept. of Economics
Published: 2005
Place of publication: Cambridge, MA
Language: eng
Number of pages: 37
Description: Bayesian consumers infer that hidden add-on prices (e.g. the cost of ink for a printer) are likely to be high prices. If consumers are Bayesian, firms will not shroud information in equilibrium. However, shrouding may occur in an economy with some myopic (or unaware) consumers. Such shrouding creates an inefficiency, which firms may have an incentive to eliminate by educating their competitors' customers. However, if add-ons have close substitutes, a "curse of debiasing" arises, and firms will not be able to profitably debias consumers by unshrouding add-ons. In equilibrium, two kinds of exploitation coexist. Optimizing firms exploit myopic consumers through marketing schemes that shroud high-priced add-ons. In turn, sophisticated consumers exploit these marketing schemes. It is not possible to profitably drive away the business of sophisticates. It is also not possible to profitably lure either myopes or sophisticates to non-exploitative firms. We show that informational shrouding flourishes even in highly competitive markets, even in markets with costless advertising, and even when the shrouding generates allocational inefficiencies. Keywords: behavioral economics, bounded rationality, consumer protection, information. JEL Classifications: D00, D60, D80, L00.
Notes: "April 11, 2005."

Includes bibliographical references (p. 33-37).

Abstract in HTML and working paper for download in PDF available via World Wide Web at the Social Science Research Network.

Financial support from the NSF SES-0099025