Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/180870 
Autor:innen: 
Erscheinungsjahr: 
2017
Schriftenreihe/Nr.: 
CHCP Working Paper No. 2017-25
Verlag: 
The University of Western Ontario, Centre for Human Capital and Productivity (CHCP), London (Ontario)
Zusammenfassung: 
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, for many asymmetric information environments. The presence of an econometric endogeneity could cause the data transformation to do either worse or better than the untransformed data. I develop the results for an application measuring teacher quality. I use data from Los Angeles to confirm the presence of the econometric endogeneity and show that the simpler raw measure would outperform the one most commonly used in teacher incentive schemes.
Schlagwörter: 
economics of education
empirical contracts
teacher incentive schemes
teacher quality
JEL: 
J01
I21
I28
D81
Dokumentart: 
Working Paper

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