Author:
Arya Anil,Fellingham John C.,Schroeder Douglas A.
Abstract
In this paper, we present a sequential production setting wherein employing aggregate measures for performance evaluation prove superior to those constructed specifically to measure individual activity. In our setting, unverifiable inputs translate into verifiable measures via two types of shocks: the first is production errors that cause outputs to deviate from inputs, and the second is measurement errors that result in outputs themselves being stated imprecisely. Agents are evaluated using either individual or aggregate measures, where the former measures the incremental output added by each link and the latter measures the cumulative output produced at the end of each stage. Aggregate measures can be preferred to individual measures because they increase the sample size available to infer upstream agents' unobservable acts and because they serve as an avenue for measurement errors to cancel.
Publisher
American Accounting Association
Subject
Accounting,Business and International Management
Cited by
14 articles.
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