Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/96755 
Erscheinungsjahr: 
2014
Schriftenreihe/Nr.: 
IZA Discussion Papers No. 8144
Verlag: 
Institute for the Study of Labor (IZA), Bonn
Zusammenfassung: 
In this paper we consider nonparametric estimation of a structural equation model under full additivity constraint. We propose estimators for both the conditional mean and gradient which are consistent, asymptotically normal, oracle efficient and free from the curse of dimensionality. Monte Carlo simulations support the asymptotic developments. We employ a partially linear extension of our model to study the relationship between child care and cognitive outcomes. Some of our (average) results are consistent with the literature (e.g., negative returns to child care when mothers have higher levels of education). However, as our estimators allow for heterogeneity both across and within groups, we are able to contradict many findings in the literature (e.g., we do not find any significant differences in returns between boys and girls or for formal versus informal child care).
Schlagwörter: 
child care
structural equation
additive regression
endogeneity
generated regressors
oracle estimation
nonparametric regression
test scores
JEL: 
C14
C36
I21
J13
Dokumentart: 
Working Paper

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