Optimal allocation and backup of computer resources under asymmetric information and incentive incompatibility

1996 ◽  
Vol 91 (2) ◽  
pp. 411-426 ◽  
Author(s):  
Hsing K. Cheng ◽  
Marshall Freimer ◽  
William B. Richmond ◽  
Ushio Sumita
2019 ◽  
Vol 14 (2) ◽  
pp. 345-371
Author(s):  
Frédéric Koessler ◽  
Vasiliki Skreta

We study the informed‐principal problem in a bilateral asymmetric information trading setting with interdependent values and quasi‐linear utilities. The informed seller proposes a mechanism and voluntarily certifies information about the good's characteristics. When the set of certifiable statements is sufficiently rich, we show that there is an ex ante profit‐maximizing selling procedure that is an equilibrium of the mechanism proposal game. In contrast to posted price settings, the allocation obtained when product characteristics are commonly known (the unravelling outcome) may not be an equilibrium allocation, even when all buyer types agree on the ranking of product quality. Our analysis relies on the concept of strong Pareto optimal allocation, which was originally introduced by Maskin and Tirole (1990) in private value environments.


1998 ◽  
Vol 25 (9) ◽  
pp. 719-728 ◽  
Author(s):  
Hsing K. Cheng ◽  
Marshall Freimer ◽  
William B. Richmond ◽  
Ushio Sumita

ALQALAM ◽  
2016 ◽  
Vol 33 (1) ◽  
pp. 46
Author(s):  
Aswadi Lubis

The purpose of writing this article is to describe the agency problems that arise in the application of the financing with mudharabah on Islamic banking. In this article the author describes the use of the theory of financing, asymetri information, agency problems inside of financing. The conclusion of this article is that the financing is asymmetric information problems will arise, both adverse selection and moral hazard. The high risk of prospective managers (mudharib) for their moral hazard and lack of readiness of human resources in Islamic banking is among the factors that make the composition of the distribution of funds to the public more in the form of financing. The limitations that can be done to optimize this financing is among other things; owners of capital supervision (monitoring) and the customers themselves place restrictions on its actions (bonding).


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