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

Giorgio Calzolari, Maria Gabriella Campolo (), Antonino Pino () and Laura Magazzini
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Maria Gabriella Campolo: University of Messina
Antonino Pino: University of Messina

Statistical Methods & Applications, 2023, vol. 32, issue 2, No 13, 659-679

Abstract: 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.

Keywords: Time use; Housework division between partners; Endogenous switching; Across-regime correlation; Employed and unemployed women (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s10260-022-00672-z

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