Multi-task incentive contract and performance measurement with multidimensional types

Multi-task incentive contract and performance measurement with multidimensional types

This paper provides a new explanation for the dominance of the low-powered incentive contract over the high-powered incentive contract using a hybrid model of moral hazard and adverse selection. We first show that unobservable risk aversion or cost leads to lowpowered incentives. We then consider the case where both risk aversion and cost of the agent are unobservable to the principal. This mul...

Incentive Contracts and Performance Measurement

the effects of time planning and task complexity on accuracy of narrative task performance

هدف اصلی این تحقیق بررسی تاثیر برنامه ریزی زمانی، هم چنین افزایش میزان پیچیدگی تکالیف در نظر گرفته شده بصورت همزمان، بر دقت و صحت و پیچیدگی عملکرد نوشتاری زبان آموزان می باشد. بدین منظور، 50 نفر از دانش آموزان دختر در رده ی سنی 16 الی 18 سال به عنوان شرکت کنندگان در این زمینه ی تحقیق در نظر گرفته شدند و به دو گروه آزمایشی و کنترل بصورت اتفاقی تقسیم شدند. اعضای گروه آزمایشی هر دو تکلیف ساده و پی...

Optimal Incentive Contract with Endogenous Monitoring Technology

Recent technology advances give firms more flexibility to utilize employee performance data at a reduced and yet significant cost. This paper develops a theory of optimal incentive contracting where the monitoring technology that governs the above described procedure is part of the designer’s strategic planning. In otherwise standard principal-agent models with moral hazard, we assume that the ...

Contract Types for Satisscing Task Allocation: I Theoretical Results

We analyze task reallocation where individually rational (IR) agents (re)contract tasks among themselves based on marginal costs. A task allocation graph is introduced as a tool for analyzing contract types. Traditional single task contracts always have a short path (sequence of contracts) to the optimal task allocation but an IR path may not exist, or it may not be short. We analyze an algorit...