EconPapers    
Economics at your fingertips  
 

Intervention with limited information

Drew Fudenberg and David K. Levine ()
Additional contact information
David K. Levine: EUI

International Journal of Game Theory, 2022, vol. 51, issue 2, No 5, 379-389

Abstract: Abstract We study how optimal interventions in response to a shock with limited information depend on the complexity of the system. We show that as the complexity of the system grows, the optimal intervention shrinks to zero.

Keywords: Bounded rationality; High dimensional optimization; Limited information; Le Chatelier Principle; Status quo bias (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s00182-021-00796-8 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
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:spr:jogath:v:51:y:2022:i:2:d:10.1007_s00182-021-00796-8

Ordering information: This journal article can be ordered from
http://www.springer. ... eory/journal/182/PS2

DOI: 10.1007/s00182-021-00796-8

Access Statistics for this article

International Journal of Game Theory is currently edited by Shmuel Zamir, Vijay Krishna and Bernhard von Stengel

More articles in International Journal of Game Theory from Springer, Game Theory Society
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:jogath:v:51:y:2022:i:2:d:10.1007_s00182-021-00796-8