Praise from the Experts

"The power of fixed effects models comes from their ability to control for observed and unobserved time-invariant variables that might confound an analysis. As knowledge of this feature of fixed effects models has spread, so has the interest in using these methods. One obstacle to further use has been the lack of accessible and consolidated information on fixed effects methods in diverse models such as linear regression, categorical and count regression, and event history models. A second obstacle to wider use has been insufficient knowledge of the software to implement these techniques.

"Paul Allison's Fixed Effects Regression Methods for Longitudinal Data Using SAS® goes a long way toward eliminating both barriers. ...

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