Information Bundling in a Dynamic Environment
AbstractMarkets for digital information goods provide the possibility of exploring new and more complex pricing schemes, due to information goods' flexibility and negligible marginal cost. In this paper we compare the dynamic performance of price schedules of varying complexity under two different specifications of consumer demand shifts. A monopolist producer employs a simple direct-search method that seeks to maximize profits using various price schedules. We find that the complexity of the price schedule affects both the amount of exploration necessary and the aggregate profit received by a producer. The size of the bundle offered, the rate of population change, and the number of iterations a producer can expect to interact with a population in total all affect the choice of schedule. If the number of iterations is small, a producer is best off randomly choosing a high-dimensional schedule, particularly when the bundle size is large. As the number of interactions between the producer and a given consumer population increases, then two-parameter schedules begin to perform best, as their learnability allows the producer to find highly optimal prices quickly. Our results have implications for automated learning and strategic pricing in non-stationary environments arising from changes in the consumer population, in individuals' preferences, or in the strategies of competing firms.
Download InfoTo our knowledge, this item is not available for download. To find whether it is available, there are three options:
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.
Bibliographic InfoPaper provided by Society for Computational Economics in its series Computing in Economics and Finance 2001 with number 205.
Date of creation: 01 Apr 2001
Date of revision:
Contact details of provider:
Web page: http://www.econometricsociety.org/conference/SCE2001/SCE2001.html
More information through EDIRC
Information Goods; Learning; Bundling;
Find related papers by JEL classification:
- D40 - Microeconomics - - Market Structure and Pricing - - - General
- L12 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Monopoly; Monopolization Strategies
- L86 - Industrial Organization - - Industry Studies: Services - - - Information and Internet Services; Computer Software
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Hélène Le Cadre & Mustapha Bouhtou & Bruno Tuffin, 2009. "Consumers’ preference modeling to price bundle offers in the telecommunications industry: a game with competition among operators," Netnomics, Springer, vol. 10(2), pages 171-208, October.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christopher F. Baum).
If references are entirely missing, you can add them using this form.