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

In: Effectiveness of University Education in Italy

Author

Listed:
  • Anna Gottard

    (University of Florence)

  • Leonardo Grilli

    (University of Florence)

  • Carla Rampichini

    (University of Florence)

Abstract

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.

Suggested Citation

  • Anna Gottard & Leonardo Grilli & Carla Rampichini, 2007. "A Multilevel Chain Graph Model for the Analysis of Graduates’ Employment," Springer Books, in: Luigi Fabbris (ed.), Effectiveness of University Education in Italy, pages 169-181, Springer.
    • Handle: RePEc:spr:sprchp:978-3-7908-1751-5_12
    DOI: 10.1007/978-3-7908-1751-5_12
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    Cited by:

    1. Bruno ARPINO & Roberta VARRIALE, 2010. "Assessing The Quality Of Institutions’ Rankings Obtained Through Multilevel Linear Regression Models," Journal of Applied Economic Sciences, Spiru Haret University, Faculty of Financial Management and Accounting Craiova, vol. 5(1(11)_Spr), pages 7-22.

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