The Law of Large Demand for Information
AbstractAn unresolved problem in Bayesian decision theory is how to value and price information. This paper resolves both problems assuming inexpensive information. Building on Large Deviation Theory, we produce a generically complete asymptotic order on samples of i.i.d. signals in finite-state, finite-action models. Computing the marginal value of an additional signal, we find it is eventually exponentially falling in quantity, and higher for lower quality signals. We provide a precise formula for the information demand, valid at low prices: asymptotically a constant times the log price, and falling in the signal quality for a given price. Copyright The Econometric Society 2002.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic InfoArticle provided by Econometric Society in its journal Econometrica.
Volume (Year): 70 (2002)
Issue (Month): 6 (November)
You can help add them by filling out this form.
CitEc Project, subscribe to its RSS feed for this item.
- Vlastakis, Nikolaos & Markellos, Raphael N., 2012. "Information demand and stock market volatility," Journal of Banking & Finance, Elsevier, vol. 36(6), pages 1808-1821.
- Moscarini, Giuseppe, 2004. "Limited information capacity as a source of inertia," Journal of Economic Dynamics and Control, Elsevier, vol. 28(10), pages 2003-2035, September.
- Duffie, Darrell & Malamud, Semyon & Manso, Gustavo, 2010.
"The relative contributions of private information sharing and public information releases to information aggregation,"
Journal of Economic Theory,
Elsevier, vol. 145(4), pages 1574-1601, July.
- Duffie, Darrell & Malamud, Semyon & Manso, Gustavo, 2009. "The Relative Contributions of Private Information Sharing and Public Information Releases to Information Aggregation," Research Papers 2023, Stanford University, Graduate School of Business.
- Darrell DUFFIE & Semyon MALAMUD & Gustavo MANSO, . "The Relative Contributions of Private Information Sharing and Public Information Releases to Information Aggregation," Swiss Finance Institute Research Paper Series 09-33, Swiss Finance Institute.
- Jussi Keppo & Giuseppe Moscarini & Lones Smith, 2005.
"The Demand for Information: More Heat than Light,"
Cowles Foundation Discussion Papers
1498, Cowles Foundation for Research in Economics, Yale University.
- repec:dgr:uvatin:2004077 is not listed on IDEAS
- repec:dgr:uvatin:2004082 is not listed on IDEAS
- Stefano Ficco, 2004. "Information Overload in Monopsony Markets," Tinbergen Institute Discussion Papers 04-082/1, Tinbergen Institute.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Wiley-Blackwell Digital Licensing) or (Christopher F. Baum).
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.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.