An augmented first-order approach for incentive problems

Renner, Philipp (2020) An augmented first-order approach for incentive problems. Working Paper. Lancaster University, Department of Economics, Lancaster.

[img]
Text (LancasterWP2020_010)
LancasterWP2020_010.pdf - Published Version

Download (354kB)

Abstract

Incentive constraints are constraints that are optimization problems themselves. If these problems are non convex then the first order approach fails. We propose an alternative solution method where we use the value function as an additional constraint. This ensures that all solutions are incentive compatible. To get the value function we use a function interpolator like sparse grids. We demonstrate our approach by solving two examples from the literature were it was shown that the first order approach fails.

Item Type:
Monograph (Working Paper)
Subjects:
ID Code:
144371
Deposited By:
Deposited On:
29 May 2020 08:40
Refereed?:
No
Published?:
Published
Last Modified:
19 Sep 2020 23:52