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

Erschienen in
Series: CESifo Working Paper ; No. 7163

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

Ereignis
Geistige Schöpfung
(wer)
Mehta, Nirav
Ereignis
Veröffentlichung
(wer)
Center for Economic Studies and ifo Institute (CESifo)
(wo)
Munich
(wann)
2018

Handle
Letzte Aktualisierung
10.03.2025, 11:41 MEZ

Datenpartner

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Objekttyp

  • Arbeitspapier

Beteiligte

  • Mehta, Nirav
  • Center for Economic Studies and ifo Institute (CESifo)

Entstanden

  • 2018

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