A Comparison of Methods for Analyzing Criminological Panel Data

We demonstrate that fixed- and random-effects models for pooled cross-sectional and time series data, and latent growth curve models for panel data are special cases of a more general model. We compare the estimates obtained from each type of model for a data set consisting of homicide rates and a v...

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Bibliographic Details
Main Author: Phillips, Julie A. (Author)
Contributors: Greenberg, David F.
Format: Electronic Article
Language:English
Published: 2008
In: Journal of quantitative criminology
Year: 2008, Volume: 24, Issue: 1, Pages: 51-72
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Keywords:
Fixed effects models
Homicide rates
Latent growth curve models
Random effects models
panel data
Description
Summary:We demonstrate that fixed- and random-effects models for pooled cross-sectional and time series data, and latent growth curve models for panel data are special cases of a more general model. We compare the estimates obtained from each type of model for a data set consisting of homicide rates and a vector of explanatory variables for 400 US counties over a 15-year period. Most, but not all, estimates are similar in the two models. We identify circumstances under which one approach may be advantageous to the other.
ISSN:1573-7799
DOI:10.1007/s10940-007-9038-y