A comparison of methods for analyzing criminological panel data

Julie A. Phillips; David F. Greenberg

doi:10.1007/s10940-007-9038-y

A comparison of methods for analyzing criminological panel data

Julie A. Phillips, David F. Greenberg

Research output: Contribution to journal › Article › peer-review

Abstract

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.

Original language	English (US)
Pages (from-to)	51-72
Number of pages	22
Journal	Journal of Quantitative Criminology
Volume	24
Issue number	1
DOIs	https://doi.org/10.1007/s10940-007-9038-y
State	Published - Mar 2008

Keywords

Fixed effects models
Homicide rates
Latent growth curve models
Panel data
Random effects models

ASJC Scopus subject areas

Pathology and Forensic Medicine
Law

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10.1007/s10940-007-9038-y

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KW - Latent growth curve models

KW - Panel data

KW - Random effects models

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A comparison of methods for analyzing criminological panel data

Abstract

Keywords

ASJC Scopus subject areas

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