Skip to main content

A Multilevel Chain Graph Model for the Analysis of Graduates’ Employment

  • Chapter
Effectiveness of University Education in Italy

Summary

The main goal of the present paper is the analysis of the working position of graduates using multilevel and chain graph models, extended to the case of correlated data. After a brief introduction to multilevel modelling and a description of the conditional independence implied by the model, we describe chain graphs for multilevel models. The model put forward can analyse the factors influencing the graduates’ job position, using the data collected on students of the University of Florence who graduated in the year 2000.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • CHIANDOTTO B., BACCI S. (2004) Un modello multilivello per l’analisi della condizione occupazionale dei laureati dell’Ateneo fiorentino. In: CROCETTA C. (ed) Modelli di statistici per l’analisi della transizione Università-lavoro, Cleup, Padova: 211–234.

    Google Scholar 

  • CHIANDOTTO B., GRILLI L. (2003) La domanda di lavoro nella provincia di Firenze: Analisi integrative sui dati dell’indagine Excelsior 2003, University of Florence (http://www.unifi.it/aut_dida/indexval.html).

    Google Scholar 

  • COX D., WERMUTH N. (1996) Multivariate Dependencies. Models, Analysis and Interpretation, Chapman & Hall, London.

    MATH  Google Scholar 

  • FRYDENBERG M. (1990) The chain graph Markov property, Scandinavian Journal of Statistics, 17: 333–353.

    MATH  MathSciNet  Google Scholar 

  • GOLDSTEIN H. (2003) Multilevel Statistical Models (3rd edition), Arnold, London.

    MATH  Google Scholar 

  • GOTTARD A., RAMPICHINI C. (2004) Chain Graphs for Multilevel Models, Working Paper, Department of Statistics ‘G. Parenti’, n. 8/2004, Florence.

    Google Scholar 

  • LAURITZEN S. (1996) Graphical Models, Clarendon Press, Oxford.

    MATH  Google Scholar 

  • LAURITZEN S., WERMUTH N. (1989) Graphical models for the association between variables, some of which are qualitative and some quantitative, Annals of Statistics, 17: 31–57.

    MATH  MathSciNet  Google Scholar 

  • RABE-HESKETH S., SKRONDAL A., PICKLES A. (2004) GLAMM Manual, U.C. Berkeley Division of Biostatistics Working Paper Series. Working Paper 160.

    Google Scholar 

  • SNIJDERS T., BOSKER R. (1999) Multilevel Analysis. An Introduction to Basic and Advanced Multilevel Modelling, Sage, London.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Physica-Verlag Heidelberg

About this chapter

Cite this chapter

Gottard, A., Grilli, L., Rampichini, C. (2007). A Multilevel Chain Graph Model for the Analysis of Graduates’ Employment. In: Fabbris, L. (eds) Effectiveness of University Education in Italy. Physica-Verlag HD. https://doi.org/10.1007/978-3-7908-1751-5_12

Download citation

Publish with us

Policies and ethics