Panel Models in Sociological Research: Theory into Practice

A selection of panel studies appearing in the American Sociological Review and the American Journal of Sociology between 1990 and 2003 shows that sociologists have been slow to capitalize on the advantages of panel data for controlling unobservables that threaten causal inference in observational st...

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Bibliographic Details
Published in:Annual review of sociology 2004-01, Vol.30 (1), p.507-544
Main Author: Halaby, Charles N.
Format: Article
Language:English
Subjects:
Causality
Consistent estimators
Economic models
Estimation bias
Estimation methods
Estimators
Evaluation
History, theory and methodology
Instrumental variables estimation
Least squares
Mathematical independent variables
Methodology
Methodology (Data Analysis)
Modeling
Panel Data
Parameters (Statistics)
Social research
Sociological Research
Sociology
Statistical Inference
Theory
Theory and Methods
Unobservables
Variables
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Summary:A selection of panel studies appearing in the American Sociological Review and the American Journal of Sociology between 1990 and 2003 shows that sociologists have been slow to capitalize on the advantages of panel data for controlling unobservables that threaten causal inference in observational studies. This review emphasizes regression methods that capitalize on the strengths of panel data for consistently estimating causal parameters in models for metric outcomes when measured explanatory variables are correlated with unit-specific unobservables. Both static and dynamic models are treated. Among the major subjects are fixed versus random effects methods, Hausman tests, Hausman-Taylor models, and instrumental variables methods, including Arrelano-Bond and Anderson-Hsaio estimation for models with lagged endogenous variables.
ISSN:0360-0572
1545-2115
DOI:10.1146/annurev.soc.30.012703.110629