A comparison of methods for analyzing criminological panel data

Julie A. Phillips, David F. Greenberg

    Research output: Contribution to journalArticlepeer-review


    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 languageEnglish (US)
    Pages (from-to)51-72
    Number of pages22
    JournalJournal of Quantitative Criminology
    Issue number1
    StatePublished - Mar 2008


    • 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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