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 mode...
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| Format: | text |
| Language: | English |
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Institutional Knowledge at Singapore Management University
2003
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| Online Access: | https://ink.library.smu.edu.sg/soe_research/489 https://ink.library.smu.edu.sg/context/soe_research/article/1488/viewcontent/Lee_2003_Japanese_Economic_Review.pdf |
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| Institution: | Singapore Management University |
| Language: | English |
| Summary: | 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] |
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