03402nam a22001697a 4500999001900000008004100019100006300060245011800123260004300241300003200284520267700316650007102993773004303064906001103107942000703118952010703125  c528410d528410241204b           ||||| |||| 00| 0 eng d  aUpali Deb, Gupta, Rudra Narayan and  Husain, Zakir 960648  aStalled progress? Evidence from American time use data on gender differences in time spent on economic activities  aThe Indian Journal of Labour Economics  a67(3), Sep, 2024: p.681-708  aThe study examines the temporal trend in the gender gap in working hours in the US economy and analyses the possible reasons underlying the gender gap. The study uses American Time Use data for the period 2003–2021. It estimates truncated and quantile regression models to estimate the gender gap. The gender gap is decomposed into two components capturing the effect of characteristics and coefficients. The study finds evidence that gender differential in working hours across gender is stable in the current millennium. The gap is particularly high in highly remunerative jobs involving extended working hours, reflecting a glass ceiling for women. Further, differences in characteristics contribute only a minor proportion of the gender gap, indicating the possible influence of social attitudes and norms, and discriminatory organisational practices. The study argues in favor of policies to transform institutions, organisational work culture, and social norms about work-home balance. Incentivising firms to continue with flexible work schedules and work-from-home policies, extending family support and childcare arrangements, regulating work hours, and substituting overtime with part-time jobs are other ways to reduce the gender gap in work hours.- Reproduced 

https://link.springer.com/article/10.1007/s41027-024-00513-5
The study examines the temporal trend in the gender gap in working hours in the US economy and analyses the possible reasons underlying the gender gap. The study uses American Time Use data for the period 2003–2021. It estimates truncated and quantile regression models to estimate the gender gap. The gender gap is decomposed into two components capturing the effect of characteristics and coefficients. The study finds evidence that gender differential in working hours across gender is stable in the current millennium. The gap is particularly high in highly remunerative jobs involving extended working hours, reflecting a glass ceiling for women. Further, differences in characteristics contribute only a minor proportion of the gender gap, indicating the possible influence of social attitudes and norms, and discriminatory organisational practices. The study argues in favor of policies to transform institutions, organisational work culture, and social norms about work-home balance. Incentivising firms to continue with flexible work schedules and work-from-home policies, extending family support and childcare arrangements, regulating work hours, and substituting overtime with part-time jobs are other ways to reduce the gender gap in work hours.- Reproduced 

https://link.springer.com/article/10.1007/s41027-024-00513-5
  aGender, Paid activities, Time Use, Quantile regression, US.949288  aThe Indian Journal of Labour Economics  aLABOUR  cAR  00102ddc40709403503aIIPAbIIPAd2024-12-04h67(3), Sep, 2024: p.681-708pAR133802r2024-12-04yAR