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Results on the bias and inconsistency of ordinary least squares for the linear probability model
Open accessAbstract
This note formalizes bias and inconsistency results for ordinary least squares (OLS) on the linear probability model and provides sufficient conditions for unbiasedness and consistency to hold. The conditions suggest that a btrimming estimatorQ may reduce OLS bias. D 2005 Elsevier B.V. All rights reserved.
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Research works printed but not linked: 11
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Metadata
- Authors
- Horrace, W. C., & Oaxaca, R. L.
- Venue
- Economics Letters
- Publisher
- Elsevier BV
- Published
- 2006-03
- Volume
- 90
- Issue
- 3
- Pages
- 321-327
- ISSN
- 0165-1765 (ISSN-L)
- OpenAlex
- W2163938684
- Cited by
- 553
- References
- 0
- FWCI
- 0.94
- Type
- journal article
- Language
- en
- Open access
- green
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
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