Add to ORKGThis paper proposes new estimators of the latent regression function in nonparametric censored and truncated regression models. Our estimators are computationally convenient, consisting only of two nonparametric regressions and a univariate integral. We establish consistency and asymptotic normality for an implementation based on local linear kernel estimators. An extension permits estimation in the presence of a general form of heteroscedasticity
The aim of this book is to estimate the conditional mean of some functions depending on the respon...
Powell's (1984, Journal of Econometrics 25, 303-325) censored least absolute deviations (CLAD) estim...
In this article we study the method of nonparametric regression based on a transformation model, und...
The nonparametric censored regression model, with a fixed, known censoring point (normalized to zero...
We consider nonparametric identi\u85cation and estimation of truncated regression models with unknow...
Truncated sample arise when one do not observe a certain segment of a population. This typically hap...
This thesis contributes in several ways to the existing knowledge on estimation of truncated, censor...
This article provides a semi parametric method for the estimation of truncated regression models wh...
This paper provides a root-n consistent, asymptotically normal weighted least squares estimator of t...
This paper considers estimation of truncated.and censored regression models with fixed effects. Up u...
This paper provides a root-n consistent, asymptotically normal weighted least squares estimator of t...
We present a general principle for estimating a regression function nonparametrically, allowing for ...
In this paper we propose a very flexible estimator in the context of truncated regression that does ...
In this paper nonparametric regression with a doubly truncated response is introduced. Local constan...
In this paper we propose a very flexible estimator in the context of truncated regression that does n...
The aim of this book is to estimate the conditional mean of some functions depending on the respon...
Powell's (1984, Journal of Econometrics 25, 303-325) censored least absolute deviations (CLAD) estim...
In this article we study the method of nonparametric regression based on a transformation model, und...
The nonparametric censored regression model, with a fixed, known censoring point (normalized to zero...
We consider nonparametric identi\u85cation and estimation of truncated regression models with unknow...
Truncated sample arise when one do not observe a certain segment of a population. This typically hap...
This thesis contributes in several ways to the existing knowledge on estimation of truncated, censor...
This article provides a semi parametric method for the estimation of truncated regression models wh...
This paper provides a root-n consistent, asymptotically normal weighted least squares estimator of t...
This paper considers estimation of truncated.and censored regression models with fixed effects. Up u...
This paper provides a root-n consistent, asymptotically normal weighted least squares estimator of t...
We present a general principle for estimating a regression function nonparametrically, allowing for ...
In this paper we propose a very flexible estimator in the context of truncated regression that does ...
In this paper nonparametric regression with a doubly truncated response is introduced. Local constan...
In this paper we propose a very flexible estimator in the context of truncated regression that does n...
The aim of this book is to estimate the conditional mean of some functions depending on the respon...
Powell's (1984, Journal of Econometrics 25, 303-325) censored least absolute deviations (CLAD) estim...
In this article we study the method of nonparametric regression based on a transformation model, und...