scholarly journals A maximum entropy network reconstruction of macroeconomic models

2019 ◽  
Vol 519 ◽  
pp. 1-17 ◽  
Author(s):  
Aurélien Hazan
2016 ◽  
Vol 27 (12) ◽  
pp. 1650148 ◽  
Author(s):  
M. Andrecut

We discuss the systemic risk implied by the interbank exposures reconstructed with the maximum entropy (ME) method. The ME method severely underestimates the risk of interbank contagion by assuming a fully connected network, while in reality the structure of the interbank network is sparsely connected. Here, we formulate an algorithm for sparse network reconstruction, and we show numerically that it provides a more reliable estimation of the systemic risk.


1984 ◽  
Vol 75 ◽  
pp. 461-469 ◽  
Author(s):  
Robert W. Hart

ABSTRACTThis paper models maximum entropy configurations of idealized gravitational ring systems. Such configurations are of interest because systems generally evolve toward an ultimate state of maximum randomness. For simplicity, attention is confined to ultimate states for which interparticle interactions are no longer of first order importance. The planets, in their orbits about the sun, are one example of such a ring system. The extent to which the present approximation yields insight into ring systems such as Saturn's is explored briefly.


2008 ◽  
Vol 45 ◽  
pp. 161-176 ◽  
Author(s):  
Eduardo D. Sontag

This paper discusses a theoretical method for the “reverse engineering” of networks based solely on steady-state (and quasi-steady-state) data.


1986 ◽  
Vol 47 (C5) ◽  
pp. C5-55-C5-62
Author(s):  
M. S. LEHMANN ◽  
T. E. ROBINSON ◽  
S. W. WILKINS

2013 ◽  
pp. 98-110
Author(s):  
M. Likhachev

Behavioral models are considered in the paper as the link between the description of the institutional structure of the economic system and the formation of macro-aggregates, reflecting the results of its operations. The degree of homogeneity of the private sector’s economic environment and complementary goals of private entities and government regulation are noted as basic characteristics of behavioral models. The author examines the differences in the estimates of these characteristics as one of the most important factors underpinning the architecture of modern macroeconomic models and their practical implications.


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