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)
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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