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A mixture model for self-assessed stress at work across EU 163

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  • Stefania Capecchi
  • Francesca Di Iorio
  • Nunzia Nappo

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  • Stefania Capecchi & Francesca Di Iorio & Nunzia Nappo, 2024. "A mixture model for self-assessed stress at work across EU 163," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 78(2), pages 163-174, April-Jun.
    • Handle: RePEc:ite:iteeco:240214
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    References listed on IDEAS

    as
    1. Domenico Piccolo & Rosaria Simone, 2019. "The class of cub models: statistical foundations, inferential issues and empirical evidence," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 28(3), pages 389-435, September.
    2. Giovanni Cerulli & Rosaria Simone & Francesca Di Iorio & Domenico Piccolo & Christopher F Baum, 2022. "Fitting mixture models for feeling and uncertainty for rating data analysis," Stata Journal, StataCorp LP, vol. 22(1), pages 195-223, March.
    3. Lígia Amâncio & Maria Helena Santos, 2021. "Gender Equality and Modernity in Portugal. An Analysis on the Obstacles to Gender Equality in Highly Qualified Professions," Social Sciences, MDPI, vol. 10(5), pages 1-12, May.
    4. Domenico Piccolo & Rosaria Simone, 2019. "Rejoinder to the discussion of “The class of cub models: statistical foundations, inferential issues and empirical evidence”," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 28(3), pages 477-493, September.
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