Exclusion Bias in Sample-Selection Model Estimators
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). JEL Classification Numbers: C24, C34. [ABSTRACT FROM AUTHOR]
Japanese Economic Review
Exclusion Bias in Sample-Selection Model Estimators. (2003). Japanese Economic Review. 54, (2), 229-236. Research Collection School Of Economics.
Available at: http://ink.library.smu.edu.sg/soe_research/489
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