Nonparametric Censored and Truncated Regression

By Arthur Lewbel, Oliver Linton. 2000

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Asymptotic Properties of a Nonparametric Regression Function Estimator with Randomly Truncated Data (2006, methodology): “In the case of a fixed (and therefore nonrandom) truncation and with censored data, the nonparametric regression was studied by Lewbel and Linton (2002) , by using the local polynomial method.”
Estimation of Semiparametric Models When the Criterion Function is Not Smooth (2002, unknown): “A standard approach here is to use numerical derivatives [see Newey and McFadden (1994) and Powell (1994)].”
Nonparametric regression with nonparametrically generated covariates (2012, unknown): “55 94 v1 [ m at h. ST ] 2 4 Ju l 2 01 2 The Annals of Statistics 2012, Vol. 40, No. 2, 1132–1170 DOI: 10.1214/12-AOS995 c© Institute of Mathematical Statistics, 2012”
Nonparametric Identification and Estimation of a Censored Location-Scale Regression Model (2005, background): “Lewbel and Linton (2002) estimated a nonparametric censored regression model with a fixed censoring point based on a mean restriction on the disturbance term.”
Estimation and inference in two-stage, semi-parametric models of production processes (2007, methodology): “…leave the distribution of e unspecified and employ the semi-parametric method for truncated regression proposed by Honoré and Powell (1994); one could in addition leave the function cð Þ unspecified and employ the non-parametric method for truncated regression proposed by Lewbel and Linton (2002).”