The asymptotic efficiency of semiparametric estimators for censored linear regression models

Joël L. Horowitz

doi:10.1007/bf01972444

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The asymptotic efficiency of semiparametric estimators for censored linear regression models

Joël L. Horowitz

Year: 1988 Journal: Empirical Economics Vol: 13 (3-4)Pages: 123-140 Publisher: Springer Science+Business Media

DOI: 10.1007/bf01972444

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Keywords:

Tobit model Estimator Censoring (clinical trials) Mathematics Censored regression model Semiparametric regression Statistics Ordinary least squares Semiparametric model Quantile Quantile regression Econometrics

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Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

Statistical Methods and Bayesian Inference

Physical Sciences → Mathematics → Statistics and Probability

Advanced Statistical Methods and Models

Physical Sciences → Mathematics → Statistics and Probability

The asymptotic efficiency of semiparametric estimators for censored linear regression models

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