Abstract

 
 

References (35)



 
 

Citations (1)



 
 

Footnotes (13)



 


 



Menu Pricing and Learning


Alessandro Bonatti


Massachusetts Institute of Technology (MIT) - Sloan School of Management

November 18, 2010


Abstract:     
We address the question of designing dynamic menus to sell experience goods. A dynamic menu consists of a set of price-quantity pairs in each period. The quality of the product is initially unknown, and more information is generated through experimentation. The amount of information in the market is increasing in the total quantity sold in each period, and the firm can control the information flow to the market by adjusting the level of sales. We derive the optimal menu as a function of consumers' beliefs about product quality, and characterize the changes in prices and quantities resulting from information diffusion.

The equilibrium menu prices are the result of a dynamic trade-off between immediate gains from trade, information production, and information rents. The firm initially charges lower prices, in order to increase sales above the static optimum, sacrificing short-term gains in order to invest in information. As the market obtains more information, the firm gradually shifts to a policy designed to extract revenue from high-valuation buyers. This policy may eventually exclude low-valuation buyers from the market, even if the product's underlying quality is in fact high.

Number of Pages in PDF File: 45

Keywords: Nonlinear pricing, menus of contracts, experience goods, Bayesian learning, experimentation

JEL Classification: D42, D82, D83, L12

working papers series


Download This Paper

Date posted: August 5, 2008 ; Last revised: November 29, 2010

Suggested Citation

Bonatti, Alessandro, Menu Pricing and Learning (November 18, 2010). Available at SSRN: http://ssrn.com/abstract=1193802 or http://dx.doi.org/10.2139/ssrn.1193802

Contact Information

Alessandro Bonatti (Contact Author)
Massachusetts Institute of Technology (MIT) - Sloan School of Management ( email )
77 Massachusetts Ave.
E62-369
Cambridge, MA 02142
United States
Feedback to SSRN (Beta)


Paper statistics
Abstract Views: 461
Downloads: 49
References:  35
Citations:  1
Footnotes:  13
Paper comments
No comments have been made on this paper

© 2013 Social Science Electronic Publishing, Inc. All Rights Reserved.  FAQ   Terms of Use   Privacy Policy   Copyright
This page was processed by apollo3 in 0.422 seconds