Existence in Multidimensional Screening with General Nonlinear Preferences
Econometrics
2018-12-11 v2 Optimization and Control
Abstract
We generalize the approach of Carlier (2001) and provide an existence proof for the multidimensional screening problem with general nonlinear preferences. We first formulate the principal's problem as a maximization problem with -convexity constraints and then use -convex analysis to prove existence.
Cite
@article{arxiv.1710.08549,
title = {Existence in Multidimensional Screening with General Nonlinear Preferences},
author = {Kelvin Shuangjian Zhang},
journal= {arXiv preprint arXiv:1710.08549},
year = {2018}
}
Comments
18 pages. Keywords: Principal-agent problem; Adverse selection; Bi-level optimization; Incentive-compatibility; Non-quasilinearity