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INFORMATION IN ECONOMIC THEORY: A DATABASE-LIKE CHARACTERIZATION
 
Fernando Tohmé
Department of Economics
Universidad Nacional del Sur, Bahía Blanca, Argentina

 
April 19, 2005
Tuesday, 12:30pm-2:00pm
Sumwalt College, Room 102

 
We present a discussion of the concept of information in Economics. We begin by presenting the prevalent model, closely associated with the Maximization of Expected Utility hypothesis. While it has proved to be useful in many ways, it also exhibits many shortcomings, which we illustrate with some examples. On the other hand, the evidence accumulated by Experimental Economics shows that the actual behavior of economic agents does not necessarily respond to the traditional characterization that stems from von Neumann and Morgenstern's (1943) work.
 
We present, instead, the idea of information as represented by a modular, updatable and linguistic structure. We draw from Computer Science the concept of "database" as an adequate structure with those features. Logics provides a way of characterizing the selection of an appropriate database up from real world data and underlying constraints. These constraints do actually configure the information held by an agent.
 
Anomalies in rational behavior as well as non-Bayesian information updates can be modeled by means of this approach, although its full development is still ahead. (This paper is a joint work with M. Ficosecco.)
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