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This paper addresses a continuous-time contracting model that extends the problem introduced by Sannikov and later rigorously analysed by Possama\"{i} and Touzi. In our model, a principal hires a risk-averse agent to carry out a project.…

概率论 · 数学 2024-12-23 Dylan Possamaï , Chiara Rossato

We consider a general formulation of the random horizon Principal-Agent problem with a continuous payment and a lump-sum payment at termination. In the European version of the problem, the random horizon is chosen solely by the principal…

最优化与控制 · 数学 2022-02-11 Yiqing Lin , Zhenjie Ren , Nizar Touzi , Junjian Yang

We consider a continuous time Principal-Agent model on a finite time horizon, where we look for the existence of an optimal contract both parties agreed on. Contrary to the main stream, where the principal is modelled as risk-neutral, we…

最优化与控制 · 数学 2018-06-06 Kerem Ugurlu

In this paper, we consider a problem of contract theory in which several Principals hire a common Agent and we study the model in the continuous time setting. We show that optimal contracts should satisfy some equilibrium conditions and we…

最优化与控制 · 数学 2018-01-15 Thibaut Mastrolia , Zhenjie Ren

We study a generic principal-agent problem in continuous time on a finite time horizon. We introduce a framework in which the agent is allowed to employ measure-valued controls and characterise the continuation utility as a solution to a…

概率论 · 数学 2025-12-01 Daniel Kršek , Dylan Possamaï

We introduce a novel model of contracts with combinatorial actions that accounts for sequential and adaptive agent behavior. As in the standard model, a principal delegates the execution of a costly project to an agent. There are $n$…

计算机科学与博弈论 · 计算机科学 2025-04-22 Tomer Ezra , Michal Feldman , Maya Schlesinger

We study a principal-agent team production model. The principal hires a team of agents to participate in a common production task. The exact effort of each agent is unobservable and unverifiable, but the total production outcome (e.g. the…

计算机科学与博弈论 · 计算机科学 2025-05-27 Shiliang Zuo

In the classical principal-agent problem, a principal must design a contract to incentivize an agent to perform an action on behalf of the principal. We study the classical principal-agent problem in a setting where the agent can be of one…

计算机科学与博弈论 · 计算机科学 2020-10-15 Guru Guruganesh , Jon Schneider , Joshua Wang

In this paper we consider a principal agent problem where the agent is allowed to quit, by incurring a cost. When the current agent quits the job, the principal will hire a new one, possibly with a different type. We characterize the…

最优化与控制 · 数学 2024-09-04 Jianfeng Zhang , Zimu Zhu

Models of economic decision makers often include idealized assumptions, such as rationality, perfect foresight, and access to all relevant pieces of information. These assumptions often assure the models' internal validity, but, at the same…

综合经济学 · 经济学 2021-07-09 Patrick Reinwald , Stephan Leitner , Friederike Wall

In principal-agent models, a principal offers a contract to an agent to perform a certain task. The agent exerts a level of effort that maximizes her utility. The principal is oblivious to the agent's chosen level of effort, and conditions…

计算机科学与博弈论 · 计算机科学 2022-07-14 Alon Cohen , Moran Koren , Argyrios Deligkas

The existence of optimal contracts of the principal-agent problem is a long-standing problem. According to the general framework in Cvitani\'c et al. [2], this existence can be derived from the existence of a classical solution to a…

数理金融 · 定量金融 2025-03-19 Xinfu Chen , Shuaijie Qian , Guan Qiao

This paper studies continuous-time optimal contracting in a hierarchy problem which generalises the model of Sung (2015). The hierarchy is modeled by a series of interlinked principal-agent problems, leading to a sequence of Stackelberg…

最优化与控制 · 数学 2020-07-22 Emma Hubert

We present a continuous-time contract whereby a top-level player can incentivize a hierarchy of players below him to act in his best interest despite only observing the output of his direct subordinate. This paper extends Sannikov's…

最优化与控制 · 数学 2015-11-25 Christopher W. Miller , Insoon Yang

We study principal-agent problems in which a principal commits to an outcome-dependent payment scheme -- called contract -- in order to induce an agent to take a costly, unobservable action leading to favorable outcomes. We consider a…

计算机科学与博弈论 · 计算机科学 2024-06-10 Francesco Bacchiocchi , Matteo Castiglioni , Alberto Marchesi , Nicola Gatti

We study principal-agent problems where a farsighted agent takes costly actions in an MDP. The core challenge in these settings is that agent's actions are hidden to the principal, who can only observe their outcomes, namely state…

计算机科学与博弈论 · 计算机科学 2024-10-18 Matteo Bollini , Francesco Bacchiocchi , Matteo Castiglioni , Alberto Marchesi , Nicola Gatti

The recent work by Cvitani\'c, Possama\"i, and Touzi (2018) [9] presents a general approach for continuous-time principal-agent problems, through dynamic programming and second-order backward stochastic differential equations (BSDEs). In…

最优化与控制 · 数学 2025-06-16 Alessandro Chiusolo , Emma Hubert

The problem of computing near-optimal contracts in combinatorial settings has recently attracted significant interest in the computer science community. Previous work has provided a rich body of structural and algorithmic insights into this…

计算机科学与博弈论 · 计算机科学 2025-06-26 Michal Feldman , Yoav Gal-Tzur , Tomasz Ponitka , Maya Schlesinger

This paper considers the hidden-action model of the principal-agent problem, in which a principal incentivizes an agent to work on a project using a contract. We investigate whether contracts with bounded payments are learnable and…

计算机科学与博弈论 · 计算机科学 2024-02-23 Yurong Chen , Zhaohua Chen , Xiaotie Deng , Zhiyi Huang

Principal-agent problems model scenarios where a principal incentivizes an agent to take costly, unobservable actions through the provision of payments. Such problems are ubiquitous in several real-world applications, ranging from…

计算机科学与博弈论 · 计算机科学 2025-02-27 Francesco Bacchiocchi , Jiarui Gan , Matteo Castiglioni , Alberto Marchesi , Nicola Gatti
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