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    Chapter Measuring the movement between employment and self-employment: a survey proposal

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    Author(s)
    Fabbris, Luigi
    FELTRIN, Paolo
    Language
    English
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    Abstract
    The study concerns the following issues: 1) basic definitions (traditional craftsmanship and commercial work, self-employment, freelance jobs, learned professions, etc.); 2) analysis of the sources on, and the organizations representing the workers of the self-employment compound; 3) medium-to-long term analysis of the main components of the self-employment compound and of the occupation in self-employment companies. We examined various statistical sources on self-employment in Italy, a category including about 5.5 million workers, according to official estimates. We examined the yearly data of the time span from 2009 to 2019, with a concept about 2020, the Covid-19 year. In the examined period, we highlighted a dramatic reduction at employment entry of younger cohorts of less educated people (about one million people), just partly compensated by an increase of new entries of aged and highly educated people. The study concludes with a proposal of a set of questions on self-employment that could be used to adjust the specific part of the questionnaire used by Istat for the survey on the Italian labour forces.
    URI
    https://library.oapen.org/handle/20.500.12657/56335
    Keywords
    Self-employment; Definitions and sources; Questionnaire design; Italian labour forces
    DOI
    10.36253/978-88-5518-304-8.14
    ISBN
    9788855183048, 9788855183048
    Publisher
    Firenze University Press
    Publisher website
    https://www.fupress.com/
    Publication date and place
    Florence, 2021
    Series
    Proceedings e report, 127
    Pages
    6
    Rights
    https://creativecommons.org/licenses/by/4.0/
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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