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Title: The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models
Resulting in 1 citation.
1. Heckman, James J.
The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models
Annals of Economic and Social Measurement 5 (Fall 1976): 475-492.
Also: http://www.nber.org/chapters/c10491.pdf
Cohort(s): Mature Women
Publisher: National Bureau of Economic Research (NBER)
Keyword(s): Modeling, OLS; Modeling, Probit; Research Methodology; Sample Selection

This study analyzes the bias that arises from sample selection, truncation and limited dependent variables within the familiar specification error framework of Griliches and Theil. The author discusses a simple estimator for censored samples to reestimate female labor supply, wages and labor force participation. In an empirical example, the estimator yields estimates close to the maximum likelihood estimates.
    "This paper presents a unified treatment of statistical models for truncation, sample selection and limited dependent variables. A simple estimator is proposed that permits estimation of those models by least squares, and probit analysts. In an empirical example, it is shown that the estimator yields estimates close to the maximum likelihood estimates."
Bibliography Citation
Heckman, James J. "The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models." Annals of Economic and Social Measurement 5 (Fall 1976): 475-492.