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Modelling Job Satisfaction in AlmaLaurea Surveys

Stefania Capecchi (), Maria Iannario () and Domenico Piccolo ()
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Stefania Capecchi: Department of Theory and Methods of Human and Social Sciences Statistical Sciences Unit, University of Naples Federico II
Maria Iannario: Department of Theory and Methods of Human and Social Sciences Statistical Sciences Unit, University of Naples Federico II

No 56, Working Papers from AlmaLaurea Inter-University Consortium

Abstract: A statistical approach for modelling job satisfaction stemming from the surveys on graduates’ employment conditions collected by AlmaLaurea is presented. Graduates have been interviewed about their employment conditions 1, 3 and 5 years after the time of degree. The focus of the survey is to assess the capacity of labour demand and labour market to exploit the human capital created by universities and, reciprocally, the ability of universities to meet society's requirements and needs (i.e. their external effectiveness and efficiency). Specifically, we compare different models implemented for the ordinal rating to the question: "How satisfied are you with your job?”. We establish differences in the estimated patterns of global job satisfaction and its components, but also emphasize the possibility to use an innovative approach (CUB models) to allow for control the effects of feeling and uncertainty in the response process.

Pages: 46
Date: 2012-12
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Citations: View citations in EconPapers (4)

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