The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
What You Can—and Can’t—Do With Three-Wave Panel Data
Abstract
The recent change in the general social survey (GSS) to a rotating panel design is a landmark development for social scientists. Sociological methodologists have argued that fixed-effects (FE) models are generally the best starting point for analyzing panel data because they allow analysts to control for unobserved time-constant heterogeneity. We review these treatments and demonstrate the advantages of FE models in the context of the GSS. We also show, however, that FE models have two rarely tested assumptions that can seriously bias parameter estimates when violated. We provide simple tests for these assumptions. We further demonstrate that FE models are extremely sensitive to the correct specification of temporal lags. We provide a simulation and a proof to show that the use of incorrect lags in FE models can lead to coefficients that are the opposite sign of the true parameter values.
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Research works printed but not linked: 1
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Fixed and random effects models: making an informed choice
Bell, A., Fairbrother, M., & Jones, K. (2019) · Quality & Quantity · doi:10.1007/s11135-018-0802-x · Cited by 1,085
Rage against the Iron Cage: The Varied Effects of Bureaucratic Personnel Reforms on Diversity
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Limitations of Fixed-Effects Models for Panel Data
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Metadata
- Authors
- Vaisey, S., & Miles, A.
- Venue
- Sociological Methods & Research
- Publisher
- SAGE Publications
- Published
- 2016-07-08
- Volume
- 46
- Issue
- 1
- Pages
- 44-67
- ISSN
- 0049-1241 (ISSN-L)
- 1552-8294
- OpenAlex
- W2321084336
- Cited by
- 299
- References
- 27
- FWCI
- 18.85
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)
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