2015 • In Stemmler, Mark; von Eye, Alex; Wiedermann, Wolfgang (Eds.) Dependent data in social sciences research: Forms, issues, and methods of analysis
[en] We present a generalization of Daniel Nagin’s finite mixture model that
allows non parallel trajectories for different values of covariates. We investigate
some mathematical properties of this model and illustrate its use by giving typical
salary curves for the employees in the private sector in Luxembourg between 1981
and 2006, as a function of their gender, as well as of Luxembourg’s gross domestic
product (GDP).
Disciplines :
Mathematics
Author, co-author :
Schiltz, Jang ; University of Luxembourg > Faculty of Law, Economics and Finance (FDEF) > Luxembourg School of Finance (LSF)
External co-authors :
no
Language :
English
Title :
A generalization of Nagin's finite mixture model
Publication date :
November 2015
Main work title :
Dependent data in social sciences research: Forms, issues, and methods of analysis
