Public Private Partnership;
stochastic control under partial information;
HJB equation;
moral hazard;
D O I:
10.1080/17442508.2017.1303068
中图分类号:
O29 [应用数学];
学科分类号:
070104 ;
摘要:
Public-Private Partnership (PPP) is a contract between a public entity and a consortium, in which the public outsources the construction and the maintenance of an equipment (hospital, university, prison ...). One drawback of this contract is that the public may not be able to observe the effort of the consortium but only its impact on the social welfare of the project. We aim to characterize the optimal contract for a PPP in this setting of asymmetric information between the two parties. This leads to a stochastic control under partial information and it is also related to principal-agent problems with moral hazard. Considering a wider set of information for the public and using martingale arguments in the spirit of Sannikov, the optimization problem can be reduced to a standard stochastic control problem, that is solved numerically. We then prove that for the optimal contract, the effort of the consortium is explicitly characterized. In particular, it is shown that the optimal rent is not a linear function of the effort, contrary to some models of the economic literature on PPP contracts.
机构:
Cornell Univ, New York State Water Resources Inst, Ithaca, NY 14853 USA
Johns Hopkins Water Inst, 615 N Wolfe St,E6638, Baltimore, MD 21205 USACornell Univ, New York State Water Resources Inst, Ithaca, NY 14853 USA
Vedachalam, Sridhar
Geddes, R. Richard
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机构:
Cornell Univ, Dept Policy Anal & Management, Ithaca, NY USACornell Univ, New York State Water Resources Inst, Ithaca, NY 14853 USA
Geddes, R. Richard
Riha, Susan J.
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h-index: 0
机构:
Cornell Univ, Dept Earth & Atmospher Sci, Ithaca, NY USACornell Univ, New York State Water Resources Inst, Ithaca, NY 14853 USA
机构:
Univ Tokyo, Ctr Res & Educ Program Evaluat, 7-3-1 Hongo,Bunkyo Ku, Tokyo 1130033, Japan
Int Monetary Fund, Fiscal Affairs Dept, Washington, DC 20431 USAUniv Tokyo, Ctr Res & Educ Program Evaluat, 7-3-1 Hongo,Bunkyo Ku, Tokyo 1130033, Japan