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...

Ausführliche Beschreibung

Gespeichert in:  
Bibliographische Detailangaben
1. VerfasserIn: Phillips, Julie A. (VerfasserIn)
Beteiligte: Greenberg, David F.
Medienart: Elektronisch Aufsatz
Sprache:Englisch
Veröffentlicht: 2008
In: Journal of quantitative criminology
Jahr: 2008, Band: 24, Heft: 1, Seiten: 51-72
Online Zugang: Volltext (lizenzpflichtig)
Volltext (lizenzpflichtig)
Journals Online & Print:
Lade...
Verfügbarkeit prüfen: HBZ Gateway
Schlagwörter:
Fixed effects models
Homicide rates
Latent growth curve models
Random effects models
panel data
Beschreibung
Zusammenfassung: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