Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/171818 
Autor:innen: 
Erscheinungsjahr: 
2015
Quellenangabe: 
[Journal:] Econometrics [ISSN:] 2225-1146 [Volume:] 3 [Issue:] 1 [Publisher:] MDPI [Place:] Basel [Year:] 2015 [Pages:] 91-100
Verlag: 
MDPI, Basel
Zusammenfassung: 
As a basis for information recovery in open dynamic microeconomic systems, we emphasize the connection between adaptive intelligent behavior, causal entropy maximization and self-organized equilibrium seeking behavior. This entropy-based causal adaptive behavior framework permits the use of information-theoretic methods as a solution basis for the resulting pure and stochastic inverse economic-econometric problems. We cast the information recovery problem in the form of a binary network and suggest information-theoretic methods to recover estimates of the unknown binary behavioral parameters without explicitly sampling the configuration-arrangement of the sample space.
Schlagwörter: 
information-theoretic methods
adaptive behavior
causal entropy maximization
pure and stochastic inverse problems
binary network
dynamic economic systems
JEL: 
C10
C24
C40
Persistent Identifier der Erstveröffentlichung: 
Creative-Commons-Lizenz: 
cc-by Logo
Dokumentart: 
Article

Datei(en):
Datei
Größe
295.58 kB





Publikationen in EconStor sind urheberrechtlich geschützt.