EconPapers    
Economics at your fingertips  
 

Strategic interactions, incomplete information and learning

Michele Berardi

MPRA Paper from University Library of Munich, Germany

Abstract: In a model of incomplete, heterogeneous information, with externalities and strategic interactions, we analyze the possibility for learning to act as coordination device. We build on the framework proposed by Angeletos and Pavan (2007) and extend it to a dynamic multiperiod setting where agents need to learn to coordinate. We analyze conditions under which adaptive and eductive learning obtain, and show that adaptive learning conditions are less demanding than the eductive ones: in particular, when actions are strategic substitutes, the equilibrium is always adaptively learnable, while it might not be eductively so. In case of heterogeneous preferences, moreover, convergence only depends on the average characteristic of agents in the economy. We also show that adaptive learning dynamics converge to the game theoretical strategic equilibrium, which means that agents can learn to act strategically in a simple and straightforward way.

Keywords: Learning; heterogeneity; interaction; coordination (search for similar items in EconPapers)
JEL-codes: C62 C73 D83 (search for similar items in EconPapers)
Date: 2012-05-06
New Economics Papers: this item is included in nep-cse, nep-cta, nep-evo, nep-gth and nep-mic
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/38651/1/MPRA_paper_38651.pdf original version (application/pdf)

Related works:
Working Paper: Strategic interactions, incomplete information and learning (2011) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:38651

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().

 
Page updated 2025-03-19
Handle: RePEc:pra:mprapa:38651