TY - JOUR
T1 - Exclusion bias in sample-selection model estimators
AU - Lee, Myoung Jae
N1 - Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.
PY - 2003/6
Y1 - 2003/6
N2 - Exclusion restrictions are routinely used in sample-selection models with "selection" and "outcome" equations. A false restriction, however, can cause an "exclusion bias" for the outcome equation estimator. In this paper, the specific form of the exclusion bias is derived for various sample-selection model estimators. Furthermore, it is shown that the outcome equation parameters for regressors with zero coefficients in the selection equation are immune to exclusion bias if only one regressor is excluded. Exclusion bias, or a lack thereof, is verified through a simulation study with the regressors taken from Mroz (1987).
AB - Exclusion restrictions are routinely used in sample-selection models with "selection" and "outcome" equations. A false restriction, however, can cause an "exclusion bias" for the outcome equation estimator. In this paper, the specific form of the exclusion bias is derived for various sample-selection model estimators. Furthermore, it is shown that the outcome equation parameters for regressors with zero coefficients in the selection equation are immune to exclusion bias if only one regressor is excluded. Exclusion bias, or a lack thereof, is verified through a simulation study with the regressors taken from Mroz (1987).
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U2 - 10.1111/1468-5876.t01-1-00256
DO - 10.1111/1468-5876.t01-1-00256
M3 - Article
AN - SCOPUS:0038757556
VL - 54
SP - 229
EP - 236
JO - Japanese Economic Review
JF - Japanese Economic Review
SN - 1352-4739
IS - 2
ER -