Fixed effects regression models
- Paul D. Allison.
- Los Angeles, Calif. : SAGE, c2009.
- Physical description
- x, 123 p. : ill. ; 22 cm.
- Quantitative applications in the social sciences ; no. 07-160.
- Allison, Paul David.
- Includes bibliographical references (p. 113-115) and indexes.
- About the Author Series Editor's Introduction 1. Introduction 2. Linear Fixed Effects Models: Basics 3. Fixed Effects Logistic Models 4. Fixed Effects Models for Count Data 5. Fixed Effects Models for Events History Data 6. Structural Equation Models With Fixed Effects Appendix 1 Appendix 2 References Author Index Subject Index.
- (source: Nielsen Book Data)
- Publisher's Summary
- 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. Both advantages and disadvantages of fixed-effects models will be considered, along with detailed comparisons with random-effects 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.
(source: Nielsen Book Data)
- Publication date
- Quantitative applications in the social sciences ; 160
- 9780761924975 (pbk.)
- 0761924973 (pbk.)