Fixed Effects Regression Models
  • Fixed Effects Regression Models
  • Fixed Effects Regression Models

Fixed Effects Regression Models

by Paul D. Allison
     
 

ISBN-10: 0761924973

ISBN-13: 9780761924975

Pub. Date: 04/22/2009

Publisher: SAGE Publications

This book demonstrates 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.

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Overview

This book demonstrates 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 bookis 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.

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Product Details

ISBN-13:
9780761924975
Publisher:
SAGE Publications
Publication date:
04/22/2009
Series:
Quantitative Applications in the Social Sciences Series, #160
Edition description:
New Edition
Pages:
136
Sales rank:
1,386,710
Product dimensions:
5.80(w) x 8.80(h) x 0.20(d)

Table of Contents

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

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