Why do Biased Heuristics Approximate Bayes Rule in Double Auctions?
Author
Abstract
(This abstract was borrowed from another version of this item.)
Suggested Citation
Download full text from publisher
To our knowledge, this item is not available for download. To find whether it is available, there are three options:1. Check below 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 for a similarly titled item that would be available.
Other versions of this item:
- Jamal, Karim & Sunder, Shyam, 2001. "Why do biased heuristics approximate Bayes rule in double auctions?," Journal of Economic Behavior & Organization, Elsevier, vol. 46(4), pages 431-435, December.
- Shyam NMI Sunder & Karim Jamal, 2001. "Why do Biased Heuristics Approximate Bayes Rule in Double Auctions?," Yale School of Management Working Papers ysm197, Yale School of Management.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- is not listed on IDEAS
- Shyam Sunder & MODELS A, 2002.
"Markets as Artifacts: Aggregate Efficiency from Zero-Intelligence Traders,"
Yale School of Management Working Papers
ysm284, Yale School of Management, revised 01 Sep 2004.
- Shyam Sunder & MODELS A, 2002. "Markets as Artifacts: Aggregate Efficiency from Zero-Intelligence Traders," Yale School of Management Working Papers ysm284, Yale School of Management, revised 01 Sep 2004.
- Lu, Dong & Zhan, Yaosong, 2022. "Over-the-counter versus double auction in asset markets with near-zero-intelligence traders," Journal of Economic Dynamics and Control, Elsevier, vol. 143(C).
- Karim Jamal & Michael Maier & Shyam Sunder, 2019. "Aggregation of Diverse Information with Double Auction Trading among Minimally-Intelligent Algorithmic Agents," Cowles Foundation Discussion Papers 2182, Cowles Foundation for Research in Economics, Yale University.
More about this item
JEL classification:
- C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
- D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions
- D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
- A12 - General Economics and Teaching - - General Economics - - - Relation of Economics to Other Disciplines
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cmu:gsiawp:308. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Steve Spear (email available below). General contact details of provider: https://www.cmu.edu/tepper .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.
Printed from https://ideas.repec.org/p/cmu/gsiawp/308.html