2003
DOI: 10.1111/1467-937x.00236
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Nonparametric Estimation of Sample Selection Models

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 restrictio… Show more

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Cited by 338 publications
(354 citation statements)
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References 21 publications
(42 reference statements)
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“…Much of this work extends Heckman's (1979) classic model to allow for non-normality. See, e.g., Gallant and Nychka (1998), Newey (1988), Das, Newey and Vella (2003), or Vella (1998) for a survey. There are other techniques we could have used to correct for sample selection across the distribution.…”
Section: Repeat Steps 1 To 4 M Timesmentioning
confidence: 99%
“…Much of this work extends Heckman's (1979) classic model to allow for non-normality. See, e.g., Gallant and Nychka (1998), Newey (1988), Das, Newey and Vella (2003), or Vella (1998) for a survey. There are other techniques we could have used to correct for sample selection across the distribution.…”
Section: Repeat Steps 1 To 4 M Timesmentioning
confidence: 99%
“…Another paper documenting the importance of functional form assumptions is Das et al (2003), who estimate the return to education for young Australian women. They estimate equations for years of education, the probability of working, and wages.…”
Section: Are Functional Forms Innocuous? Evidence From Catholic Schoolsmentioning
confidence: 99%
“…43 Esho et al (2004). 44 Das et al (2003). 45 Klaauw and Koning (2003) provide a parametric estimation for a sample selection model.…”
Section: Regression Modelmentioning
confidence: 99%