Econometric Information Recovery in Behavioral Networks

Econometric Information Recovery in Behavioral Networks

In this paper, we suggest an approach to recovering behavior-related, preference-choice network information from observational data. We model the process as a self-organized behavior based random exponential network-graph system. To address the unknown nature of the sampling model in recovering beha...

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Bibliographic Details
Main Author: George Judge
Format: Article
Language:English
Published: MDPI AG 2016-09-01
Series:Econometrics
Subjects:
random exponential networks
binary and weighed networks
inverse problem
adjacency matrix
Cressie-Read family of divergence measures
conditional moment conditions
self organized behavior systems
Online Access:http://www.mdpi.com/2225-1146/4/3/38

Internet

http://www.mdpi.com/2225-1146/4/3/38

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