A comparison of methods for analyzing criminological panel data

Julie A. Phillips, David Greenberg

    Research output: Contribution to journalArticle

    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 languageEnglish (US)
    Pages (from-to)51-72
    Number of pages22
    JournalJournal of Quantitative Criminology
    Volume24
    Issue number1
    DOIs
    StatePublished - Mar 2008

    Fingerprint

    comparison of methods
    Homicide
    Growth
    homicide
    time series
    Datasets

    Keywords

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

    ASJC Scopus subject areas

    • Pathology and Forensic Medicine
    • Law

    Cite this

    A comparison of methods for analyzing criminological panel data. / Phillips, Julie A.; Greenberg, David.

    In: Journal of Quantitative Criminology, Vol. 24, No. 1, 03.2008, p. 51-72.

    Research output: Contribution to journalArticle

    Phillips, Julie A. ; Greenberg, David. / A comparison of methods for analyzing criminological panel data. In: Journal of Quantitative Criminology. 2008 ; Vol. 24, No. 1. pp. 51-72.
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