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Nonparametric Estimation of Sample Selection Models

Das, Mitali, Newey, Whitney K., Vella, Francis·2003·Review of Economic Studies

Abstract

Sample selection models provide an important way of accounting for economic decisions that combine discrete and continuous choices and of correcting for nonrandom sampling. Nonparametric estimators for these models are developed in this paper. These can be used for estimating shapes and important economic quantities, as in standard nonparametric regression. Endogeneity of regressors of interest is allowed for. Series estimators for these models are developed, which are useful for imposing additivity restrictions that arise from selection corrections. Convergence rates and asymptotic normality results are derived. An application to returns to schooling among Australian young females is given.

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Metadata

Authors
Das, M., Newey, W. K., & Vella, F.
Venue
Review of Economic Studies
Published
2003-01
Volume
70
Issue
1
Pages
33-58
ISSN
  • 0034-6527 (ISSN-L)
  • 1467-937X
OpenAlex
W2056917378
Cited by
401
References
3
FWCI
11.41
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Nonparametric Estimation of Sample Selection Models. https://app.cochat.ai/papers/10.1111/1467-937x.00236
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Das, M., Newey, W. K., & Vella, F. (2003). Nonparametric Estimation of Sample Selection Models. Review of Economic Studies. https://doi.org/10.1111/1467-937x.00236

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