RT Article
T1 A Comparison of Methods for Analyzing Criminological Panel Data
JF Journal of quantitative criminology
VO 24
IS 1
SP 51
OP 72
A1 Phillips, Julie A.
A2 Greenberg, David F. 1942-
LA English
YR 2008
UL https://krimdok.uni-tuebingen.de/Record/1764276302
AB 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.
K1 Homicide rates
K1 Latent growth curve models
K1 Fixed effects models
K1 Random effects models
K1 panel data
DO 10.1007/s10940-007-9038-y