Individuals’ life courses may be represented as ordered collections of the activities experienced during a given period. We consider data on the school-work transition for a set of young individuals from Northern Ireland, and show how some interesting features of their careers can be described by a dynamic latent variable model accounting for some unobserved individuals’ characteristics, such as attitudes

Pennoni, F., Piccarreta, R. (2017). Dynamic sequential analysis of careers. In Book of Short Papers CLADAG2017 (pp.1-6).

Dynamic sequential analysis of careers

PENNONI, FULVIA;
2017

Abstract

Individuals’ life courses may be represented as ordered collections of the activities experienced during a given period. We consider data on the school-work transition for a set of young individuals from Northern Ireland, and show how some interesting features of their careers can be described by a dynamic latent variable model accounting for some unobserved individuals’ characteristics, such as attitudes
slide + paper
Expectation-Maximization algorithm, typologies, latent Markov model
English
11th Scientific Meeting of the CLAssification and Data Analysis Group (CLADAG)
2017
Greselin, F.; Mola, F; Zenga M
Book of Short Papers CLADAG2017
978-88-99459-71-0
2017
1
6
open
Pennoni, F., Piccarreta, R. (2017). Dynamic sequential analysis of careers. In Book of Short Papers CLADAG2017 (pp.1-6).
File in questo prodotto:
File Dimensione Formato  
CLADAG_2017_paper_82.pdf

accesso aperto

Dimensione 100.52 kB
Formato Adobe PDF
100.52 kB Adobe PDF Visualizza/Apri
Pennoni_Cladag17_1.pdf

accesso aperto

Descrizione: Slides of the presenting author at the 11th Scientific Meeting of the CLAssification and Data Analysis Group (CLADAG)
Dimensione 1.13 MB
Formato Adobe PDF
1.13 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/169903
Citazioni
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
Social impact