The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Estimation of Linear Models with Incomplete Data
Abstract
In estimating linear models, it is often necessary to combine data from two or more samples or subsamples, each with a somewhat different set of variables. Conventional methods for doing this are statistically inefficient or have unknown statistical properties. This paper describes a maximum likelihood method that is both consistent and efficient and that can be implemented with LISREL. Unlike other maximum likelihood algorithms, this method can estimate overidentified models, and it produces consistent estimates of standard errors. Using this approach, one can
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Cites
Sample Selection Bias as a Specification Error
Heckman, J. J. (1979) · Econometrica · doi:10.2307/1912352 · Cited by 28,779
Cited by
Missing data: our view of the state of the art
Schafer, J. L., & Graham, J. W. (2002) · Psychological Methods · doi:10.1037/1082-989x.7.2.147 · Cited by 11,638
Missing data analysis: making it work in the real world
Graham, J. W. (2009) · Annual Review of Psychology · doi:10.1146/annurev.psych.58.110405.085530 · Cited by 6,163
Enders, C., & Bandalos, D. (2001) · Structural Equation Modeling: A Multidisciplinary Journal · doi:10.1207/s15328007sem0803_5 · Cited by 4,978
Principles and practice in reporting structural equation analyses.
McDonald, R. P., & Ho, M.-H. R. (2002) · Psychological Methods · doi:10.1037/1082-989x.7.1.64 · Cited by 4,734
Yuan, K.-H., & Bentler, P. M. (2000) · Sociological Methodology · doi:10.1111/0081-1750.00078 · Cited by 1,748
Metadata
- Authors
- Allison, P. D.
- Venue
- Sociological Methodology
- Publisher
- JSTOR
- Published
- 1987
- Volume
- 17
- Pages
- 71
- ISSN
- 0081-1750 (ISSN-L)
- OpenAlex
- W2043340809
- Cited by
- 268
- References
- 1
- FWCI
- 3.31
- Type
- journal article
- Language
- en
- Open access
- closed
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