TY  - JOUR
A1  - Schulz, Wiebke
A1  - Maas, Ineke
T1  - Studying historical occupational careers with multilevel growth models
Y1  - 2010/10/01
JF  - Demographic Research
JO  - Demographic Research
SN  - 1435-9871
SP  - 669
EP  - 696
DO  - 10.4054/DemRes.2010.23.24
VL  - S10
IS  - 24
UR  - https://www.demographic-research.org/special/10/24/
L1  - https://www.demographic-research.org/special/10/24/s10-24.pdf
L2  - https://www.demographic-research.org/special/10/24/s10-24.pdf
N2  - In this article we propose to study occupational careers with historical data by using multilevel growth models. Historical career data are often characterized by a lack of information on the timing of occupational changes and by different numbers of observations of occupations per individual. Growth models can handle these specificities, whereas standard methods, such as event history analyses can’t. We illustrate the use of growth models by studying career success of men and women, using data from the Historical Sample of the Netherlands. The results show that the method is applicable to male careers, but causes trouble when analyzing female careers.

ER  -