This book will show how to estimate and interpret fixed-effects models in a variety of different modeling contexts: linear models, logistic models, Poisson models, Cox regression models, and structural equation models. Written at a level appropriate for anyone who has taken a year of statistics, the book will be appropriate as a supplement for graduate courses in regression or linear regression as well as an aid to researchers who have repeated measures or cross-sectional data.

Fixed Effects Logistic Models

In this chapter, we shall see how the fixed effects methods of the last chapter can be generalized to allow for categorical response variables. To explore these methods, we'll use a data set that comes from the National Longitudinal Survey of Youth (NLSY). This data set has 1,151 teenage ...

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