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Assessing individual skill influence on housework time of Italian women: an endogenous-switching approach

Author

Listed:
  • Giorgio Calzolari

    (University of Firenze)

  • Maria Gabriella Campolo

    (University of Messina)

  • Antonino Pino

    (University of Messina)

  • Laura Magazzini

    (Sant’Anna School of Advanced Studies)

Abstract

Using Italian data from the Time Use Survey (Istat) on the time devoted by Italian women to housework tasks, in this study we analyze how much individual ability of a woman employed in the market influences her housework time. To this aim we estimate a two-regime Endogenous-Switching model for both employed and not employed women. As a novelty, a ML estimation of this model provides also the point-estimation of the across-regime correlation parameter, that allows us to evaluate the individual skill effect on the time devoted to housework tasks by a woman and to calculate the probability of choosing one of the two regimes, corrected for the endogeneity of the choice. The estimation framework allows us to identify the role of individual skills of the Italian women in household decision-making.

Suggested Citation

  • Giorgio Calzolari & Maria Gabriella Campolo & Antonino Pino & Laura Magazzini, 2023. "Assessing individual skill influence on housework time of Italian women: an endogenous-switching approach," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 32(2), pages 659-679, June.
    • Handle: RePEc:spr:stmapp:v:32:y:2023:i:2:d:10.1007_s10260-022-00672-z
    DOI: 10.1007/s10260-022-00672-z
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