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Abstract for:

On Intercept Estimation in the Sample Selection Model

Marcia M  Schafgans,  January 2000
Paper No' EM/2000/380: | Full paper (pdf)
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Keywords: Asymptotic normality; sample selection model; semiparametric estimation

JEL Classification:

Is hard copy/paper copy available? YES - Paper Copy Still In Print.
This Paper is published under the following series: Econometrics
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We provide a proof of the consistency and asymptotic normality of the estimator suggested by Heckman (1990) for the intercept of a semiparametrically estimated sample selection model. The estimator is based on 'identification at infinity' which leads to non-standard convergence rate. Andrews and Schafgans (1998) derived asymptotic results for a smoothed version of the estimator. We examine the optimal bandwidth selection for the estimators and derive asymptotic MSE rates under a wide class of distributional assumptions. We also provide some comparisons of the estimators and practical guidelines.