scispace - formally typeset
Open AccessPosted Content

Endogenous Selection and Moral Hazard in Compensation Contracts

Reads0
Chats0
TLDR
The authors formulate two complementary generalized principal-agent models that incorporate features observed in real world contracting environments (e.g., agents with power utility and limited liability, lognormal stock price distributions, and stock options) as mathematical programs with equilibrium constraints (MPEC).
Abstract
The two major paradigms in the theoretical agency literature are moral hazard (i.e., hidden action) and adverse selection (i.e., hidden information). Prior research typically solves these problems in isolation, as opposed to simultaneously incorporating both adverse selection and moral hazard features. We formulate two complementary generalized principal-agent models that incorporate features observed in real world contracting environments (e.g., agents with power utility and limited liability, lognormal stock price distributions, and stock options) as mathematical programs with equilibrium constraints (MPEC). We use state- of-the-art numerical algorithms to solve the resulting models. We find that many of the standard results no longer obtain when wealth effects are present. We also develop a new measure of incentives calculated as the change in the agent's certainty equivalent under the optimal contract for a change in action evaluated at the optimal action. This measure facilitates interpretation of the resulting contracts and allows us to compare contracts across different contracting environments.

read more

Citations
More filters
Journal ArticleDOI

Artificial intelligence for decision support systems in the field of operations research: review and future scope of research

TL;DR: The findings of this review show how AI has contributed to decision making in the operations research field and synergies, differences, and overlaps in AI, DSSs, and OR are presented.
Journal ArticleDOI

Solving Bilevel Multicriterion Optimization Problems With Lower Level Decision Uncertainty

TL;DR: The development of a flexible evolutionary algorithm for solving multicriterion bilevel problems with lower level (follower) decision uncertainty with real-world examples from the field of environmental economics and management are considered to illustrate how the framework can be used to obtain optimal strategies.
Journal ArticleDOI

Ironing Out the Kinks in Executive Compensation: Linking Incentive Pay to Average Stock Prices

TL;DR: This paper found that Asian stock options are more cost effective than traditional stock options and provide stronger incentives to increase stock price, and the improvement is achieved with little impact on the option grant's risk incentives (after adjusting for option cost).
Journal ArticleDOI

A Polynomial Optimization Approach to Principal-Agent Problems

TL;DR: In this article, the authors propose a polynomial optimization approach for the analysis of moral hazard principal-agent problems, which avoids the stringent assumptions on the distribution of outcomes made by the classical first-order approach.
References
More filters
Journal ArticleDOI

Moral Hazard and Observability

TL;DR: In this article, the role of imperfect information in a principal-agent relationship subject to moral hazard is considered, and a necessary and sufficient condition for imperfect information to improve on contracts based on the payoff alone is derived.
Journal ArticleDOI

Aggregation and linearity in the provision of intertemporal incentives

Bengt Holmstrom, +1 more
- 01 Mar 1987 - 
TL;DR: In this paper, the authors consider the problem of providing incentives over time for an agent with constant absolute risk aversion, and find that the optimal compensation scheme is a linear function of a vector of accounts which count the number of times that each of the N kinds of observable events occurs.
Book ChapterDOI

An analysis of the principal-agent problem

TL;DR: In this article, the authors show that the optimal way of implementing an action by an agent can be found by solving a convex programming problem, and they use this to characterize the optimal incentive scheme and to analyze the determinants of the seriousness of an incentive problem.
Book ChapterDOI

Supply Chain Coordination with Contracts

TL;DR: This chapter extends the newsvendor model by allowing the retailer to choose the retail price in addition to the stocking quantity, and discusses an infinite horizon stochastic demand model in which the retailer receives replenishments from a supplier after a constant lead time.
Journal ArticleDOI

Incentive compatibility and the bargaining problem

Roger B. Myerson
- 01 Jan 1979 - 
TL;DR: In this article, the generalized Nash solution proposed by Harsanyi and Selten is applied to this set to define a bargaining solution for Bayesian collective choice problems, and it is shown that the set of expected utility allocations which are feasible with incentive-compatible mechanisms is compact and convex.
Related Papers (5)