Use of Dummy Variables in Regression Equations¶
Suits. (1957). Use of Dummy Variables in Regression Equations. Journal of the American Statistical Association.
Cited by¶
1 citation across 1 artifact.
Each citation links to the sentence it supports in the citing article.
Domain-specific¶
- Kernel
- The textbook "dummy-variable trap" makes this concrete — including an intercept plus a dummy for every category of a factor makes the columns linearly dependent, so ker(X) is non-trivial and the coefficients are unidentified
This sourceEstablishes that a full set of dummy variables needs an additional constraint (omit one dummy, or set the constant term to zero) for determinate estimates.
Supported in partVerified against the publisher's abstract
“The use of dummy variables requires the imposition of additional constraints on the parameters of regression equations if determinate estimates are to be obtained.”
- The textbook "dummy-variable trap" makes this concrete — including an intercept plus a dummy for every category of a factor makes the columns linearly dependent, so ker(X) is non-trivial and the coefficients are unidentified
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Registry ID ref:87a7c0b2d262 · see in the full table