• Medientyp: E-Book
  • Titel: Performance Measurement in Agency Models
  • Beteiligte: Chi, Chang-Koo [VerfasserIn]; Choi, Kyoung Jin [Sonstige Person, Familie und Körperschaft]
  • Erschienen: [S.l.]: SSRN, [2019]
  • Erschienen in: NHH Dept. of Economics Discussion Paper ; No. 5/2019
  • Umfang: 1 Online-Ressource (28 p)
  • Sprache: Englisch
  • DOI: 10.2139/ssrn.3343484
  • Identifikator:
  • Entstehung:
  • Anmerkungen: Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments February 25, 2019 erstellt
  • Beschreibung: This note explores how to evaluate an agent's performance in standard incentive contracts. We show that the MPS criterion proposed by Kim (1995) becomes a tight condition for one performance measurement system to be more informative than another, as long as the first-order approach can be justified. In the one-signal case obeying the monotone likelihood ratio property, the MPS criterion is equivalent to the way of ordering signals developed by Lehmann (1988), establishing a link to statistical decision theory. Our results demonstrate that depending on the agent's potential deviations, ideal performance measures can be different
  • Zugangsstatus: Freier Zugang