Approximating Security Values of MinSup Problems with Quasi-variational Inequality Constraints
M. Beatrice Lignola () and
Jacqueline Morgan
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M. Beatrice Lignola: Università di Napoli Federico II
CSEF Working Papers from Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy
Abstract:
We consider a two-stage model where a leader, according to its risk-averse proneness, solves a MinSup problem with constraints corresponding to the reaction sets of a follower and defined by the solutions of a quasi-variational inequality (i.e. a variational inequality having constraint sets depending on its own solutions) which appear in concrete economic models such as social and economic networks, financial derivative models, transportation network congestion and traffic equilibrium. In general the infimal value of a MinSup (or the maximal value of a MaxInf) problem with quasi-variational inequality constraints is not stable under perturbations in the sense that the sequence of optimal values for the perturbed problems may not converge to the optimal value of the original problem even in presence of nice data. Thus, we introduce different types of approximate values for this problem, we investigate their asymptotical behavior under perturbations and we emphasized the results concerning MinSup problems with variational inequality constraints as well results holding under stronger assumptions that can be more easily employed in applications.
Date: 2012-09-14, Revised 2014-10-09
New Economics Papers: this item is included in nep-mic and nep-tre
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Citations: View citations in EconPapers (4)
Published in Pacific Journal of Optimization, 2014, 10(4), pp. 749-765
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