Two-step estimation and inference with possibly many included covariates
We study the implications of including many covariates in a first-step estimate entering a two-step estimation procedure. We find that a first-order bias emerges when the number of included covariates is “large” relative to the square-root of sample size, rendering standard inference procedures inva...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Oxford University Press
2019
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |