Nonparametric estimation in case of endogenous selection
This paper addresses the problem of estimation of a nonparametric regression function from selectively observed data when selection is endogenous. Our approach relies on independence between covariates and selection conditionally on potential outcomes. Endogeneity of regressors is also allowed for....
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| Hauptverfasser: | , , |
|---|---|
| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
2018
|
| In: |
Journal of econometrics
Year: 2018, Jahrgang: 202, Heft: 2, Pages: 268-285 |
| DOI: | 10.1016/j.jeconom.2017.11.002 |
| Online-Zugang: | Verlag, Volltext: http://dx.doi.org/10.1016/j.jeconom.2017.11.002 Verlag, Volltext: http://www.sciencedirect.com/science/article/pii/S0304407617302221 |
| Verfasserangaben: | Christoph Breunig, Enno Mammen, Anna Simoni |
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Nonparametric estimation in case of endogenous selection
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Nonparametric estimation in case of endogenous selection
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