A Multilevel Multinomial Model for the Dynamics of Graduates Employment in Italy

Sandra De Iaco (), Sabrina Maggio () and Donato Posa ()
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Sandra De Iaco: University of Salento
Sabrina Maggio: University of Salento
Donato Posa: University of Salento

Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, 2019, vol. 146, issue 1, No 10, 149-168

Abstract: Abstract Several studies have demonstrated that skilled human capital is a key resource for the economic growth of a territory, since it helps to increase productivity, competitiveness and sustainability over time. The aim of this paper is to model the probability of working for university graduates 3 years after degree, taking into account the effectiveness and coherence of a degree with respect to the labour market. Hence, first of all, a multilevel binary logit model for measuring the probability of working will be discussed. Then, a multilevel multinomial model suitable to predict the probability of the possible job status, such as unemployed/unsteady employed/steady employed, will be further proposed. The ISTAT microdata regarding the Italian survey on the graduates’ employment conditions, will be used.

Keywords: Skilled human capital; Odd-ratios; Multilevel binary logit model; Multilevel multinomial logit model (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s11205-018-1884-5

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