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
Online Access: Volltext (lizenzpflichtig)
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520 |a 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. 
650 4 |a Homicide rates 
650 4 |a Latent growth curve models 
650 4 |a Fixed effects models 
650 4 |a Random effects models 
650 4 |a panel data 
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