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Cited by 3,352

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Tests for Specification Errors in Classical Linear Least-Squares Regression Analysis

Ramsey, J. B.·1969·Journal of the Royal Statistical Society Series B: Statistical Methodology
DOI 10.1111/j.2517-6161.1969.tb00796.x
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Abstract

Summary: The effects on the distribution of least-squares residuals of a series of model mis-specifications are considered. It is shown that for a variety of specification errors the distributions of the least-squares residuals are normal, but with non-zero means. An alternative predictor of the disturbance vector is used in developing four procedures for testing for the presence of specification error. The specification errors considered are omitted variables, incorrect functional form, simultaneous equation problems and heteroskedasticity.

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Metadata

Authors
Ramsey, J. B.
Venue
Journal of the Royal Statistical Society Series B: Statistical Methodology
Publisher
Oxford University Press (OUP)
Published
1969-07-01
Volume
31
Issue
2
Pages
350-371
ISSN
  • 1369-7412 (ISSN-L)
  • 1467-9868
DOI
10.1111/j.2517-6161.1969.tb00796.x
OpenAlex
W953353200
Cited by
3,352
References
3
FWCI
4.80
Type
journal article
Language
en
Open access
closed

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.