A General Panel Model with Random and Fixed Effects: A Structural Equations Approach

Bollen, Kenneth A.; & Brand, Jennie E. (2013). A General Panel Model with Random and Fixed Effects: A Structural Equations Approach. In Babones, Salvatore J. (Ed.), Fundamentals of Regression Modeling (pp. 315-47). London: SAGE.

Bollen, Kenneth A.; & Brand, Jennie E. (2013). A General Panel Model with Random and Fixed Effects: A Structural Equations Approach. In Babones, Salvatore J. (Ed.), Fundamentals of Regression Modeling (pp. 315-47). London: SAGE.

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This new four-volume major work presents a collection of landmark studies on the topic of regression modeling, identifying the most important, fundamental articles out of thousands of relevant contributions. The social sciences - particularly sociology and political science - have made extensive use of regression models since the 1960s, and regression modeling continues to be the staple method of the field. The collection is framed by an orienting essay which presents to a guide to regression modelling, written with applied practitioners in mind.
Abstract of original article: "Fixed- and random-effects models for longitudinal data are common in sociology Their primary advantage is that they control for time-invariant omitted variables However, analysts face several issues when they employ these models One is the choice of which to apply, another is that FEM and REM models as usually implemented might be insufficiently flexible For example, the effects of variables, including the latent time-invariant variable, might change over time The latent time-invariant variable might correlate with some variables and not others Lagged endogenous variables might be necessary Alternatives that move beyond the classic FEM and REM models are known, but they involve estimators and software that make these extended models difficult to implement and to compare This article presents a general panel model that includes the standard FEM and REM as special cases In addition it provides a sequence of nested models that provide a richer range of models that researchers can easily compare with likelihood ratio tests and fit statistics Furthermore, researchers can implement our general panel model and its special cases in widely available structural equation models software."




CHAP

Fundamentals of Regression Modeling

SAGE Benchmarks in Social Research Methods

Bollen, Kenneth A.
Brand, Jennie E.

Babones, Salvatore J.


2013



3

4

315-47




SAGE

London





9429

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