Investigating the determinants of job satisfaction of Italian graduates: a model-based approach

Stefania Capecchi and Domenico Piccolo

Journal of Applied Statistics, 2016, vol. 43, issue 1, 169-179

Abstract: The paper explores the relationship between personal, economic and time-dependent covariates as determinants of the job satisfaction expressed by graduate workers. After discussing the main results of the literature, the work emphasizes a statistical modelling approach able to effectively estimate and visualize those determinants and their interactions with subjects' covariates. Interpretation and visualization of graduates' profiles are shown on the basis of a survey conducted in Italy; more specifically, the determinants of both satisfaction and uncertainty of the respondents are explicitly discussed.

Date: 2016
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Citations: View citations in EconPapers (3)

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DOI: 10.1080/02664763.2015.1036844

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