Fixed effects regression models:
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Los Angeles [u.a.]
Sage
2009
|
| Series: | Quantitative applications in the social sciences
160 |
| Subjects: | |
| Online Access: | Inhaltsverzeichnis |
| Physical Description: | X, 123 S. graph. Darst. |
| ISBN: | 9780761924975 |
Staff View
MARC
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Record in the Search Index
| _version_ | 1804140310777823232 |
|---|---|
| adam_text | Titel: Fixed effects regression models
Autor: Allison, Paul David
Jahr: 2009
CONTENTS
About the Author vii
Series Editor s Introduction ix
1. Introduction 1
2. Linear Fixed Effects Models: Basics 6
The Two-Period Case 7
Extending the Difference Score Method
for the Two-Period Case 10
A First-Difference Method for Three or
More Periods per Individual 12
Dummy Variable Method for Two or More
Periods per Individual 14
Interactions With Time in the Fixed Effects Method 19
Comparison With Random Effects Models 21
A Hybrid Method 23
Summary 26
3. Fixed Effects Logistic Models 28
The Two-Period Case 28
Three or More Periods 32
Interactions With Time 37
A Hybrid Method 39
Methods for More Than Two Categories
on the Response Variable 42
Summary 47
4. Fixed Effects Models for Count Data 49
Poisson Models for Count Data With
Two Periods per Individual 49
Poisson Models for Data With More
Than Two Periods per Individual 54
Fixed Effects Negative Binomial Models for Count Data 61
A Hybrid Approach 65
Summary 68
5. Fixed Effects Models for Events History Data 70
Cox Regression 71
Cox Regression With Fixed Effects 73
Some Caveats 77
The Hybrid Method for Cox Regression 79
Fixed Effects Event History Methods
for Nonrepeated Events 79
Summary 85
6. Structural Equation Models With Fixed Effects 87
Random Effects as a Latent Variable Model 87
Fixed Effects as a Latent Variable Model 91
A Compromise Between Fixed Effects
and Random Effects 92
Reciprocal Effects With Lagged Predictors 93
Summary 97
Appendix 1. Stata Programs for Examples in Chapters 2 to 5 99
Appendix 2. Mplus Programs for Examples in Chapter 6 108
References 113
Author Index 116
Subject Index 118
|
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| indexdate | 2024-07-09T21:57:57Z |
| institution | BVB |
| isbn | 9780761924975 |
| language | English |
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| series | Quantitative applications in the social sciences |
| series2 | Quantitative applications in the social sciences |
| spelling | Allison, Paul D. Verfasser (DE-588)130032336 aut Fixed effects regression models Paul D. Allison Los Angeles [u.a.] Sage 2009 X, 123 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Quantitative applications in the social sciences 160 Sozialwissenschaften Regression Analysis Regression analysis Social sciences Statistical methods Regressionsmodell (DE-588)4127980-3 gnd rswk-swf Regressionsmodell (DE-588)4127980-3 s DE-604 Quantitative applications in the social sciences 160 (DE-604)BV000005102 160 HBZ Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=018339771&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Allison, Paul D. Fixed effects regression models Quantitative applications in the social sciences Sozialwissenschaften Regression Analysis Regression analysis Social sciences Statistical methods Regressionsmodell (DE-588)4127980-3 gnd |
| subject_GND | (DE-588)4127980-3 |
| title | Fixed effects regression models |
| title_auth | Fixed effects regression models |
| title_exact_search | Fixed effects regression models |
| title_full | Fixed effects regression models Paul D. Allison |
| title_fullStr | Fixed effects regression models Paul D. Allison |
| title_full_unstemmed | Fixed effects regression models Paul D. Allison |
| title_short | Fixed effects regression models |
| title_sort | fixed effects regression models |
| topic | Sozialwissenschaften Regression Analysis Regression analysis Social sciences Statistical methods Regressionsmodell (DE-588)4127980-3 gnd |
| topic_facet | Sozialwissenschaften Regression Analysis Regression analysis Social sciences Statistical methods Regressionsmodell |
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