Arbeitspapier

Measuring Quality for Use in Incentive Schemes: The Case of “Shrinkage” Estimators

Researchers commonly “shrink” raw quality measures based on statistical criteria. This paper studies when and how this transformation’s statistical properties would confer economic benefits to a utility-maximizing decisionmaker across common asymmetric information environments. I develop the results for an application measuring teacher quality. The presence of a systematic relationship between teacher quality and class size could cause the data transformation to do either worse or better than the untransformed data. I use data from Los Angeles to confirm the presence of such a relationship and show that the simpler raw measure would outperform the one most commonly used in teacher incentive schemes.

Sprache
Englisch

Klassifikation
Wirtschaft
Labor Economics: General
Analysis of Education
Education: Government Policy
Criteria for Decision-Making under Risk and Uncertainty
Thema
empirical contracts
teacher incentive schemes
teacher quality
economics of education

Ereignis
Geistige Schöpfung
(wer)
Mehta, Nirav
Ereignis
Veröffentlichung
(wer)
ZBW – Leibniz Information Centre for Economics
(wo)
Kiel, Hamburg
(wann)
2018

Handle
Letzte Aktualisierung
10.03.2025, 11:45 MEZ

Datenpartner

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Objekttyp

  • Arbeitspapier

Beteiligte

  • Mehta, Nirav
  • ZBW – Leibniz Information Centre for Economics

Entstanden

  • 2018

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