Tenth Meeting of Working Group on Macroeconomic Aspects of Intergenerational Transfer National School of Development, Peking University, Beijing, China November 2014 An Analysis of Gender Disparities in Time Transfers by socio-economic status and geographical area of residence. The case of Italy Marina Zannella Wittgenstein Centre for Demography and Human Capital (IIASA, VID/OAW, WU), Vienna Institue of Demography

Sub-sample GeoMenWomenAll North7,6368,31115,947 Centre3,0343,4236,457 South6,6947,30513,999 EducationMenWomenTotalAge High1,5481,8413,38920 Medium5,6075,88811,49515 Low10,20911,31021,51910

Time allocation

Paid Work Area of Residence Paid Work by Age, Gender and Area of Residence

Paid Work Education Paid Work by Age, Gender and Education

Unpaid Domestic Work Area of Residence Unpaid Domestic Work by Age, Gender and Area of Residence

Unpaid Domestic Work Education Unpaid Domestic Work by Age, Gender and Education

Free Time Area of Residence Free Time by Age, Gender and Area of Residence

Free Time Education Free Time by Age, Gender and Education

Total work Area of Residence Total work by Age, Gender and Area of Residence

Total work Education Total work by Age, Gender and Education

Consumption and Transfers

Consumption Area of Residence Time Consumption by Age, Gender and Area of Residence

Consumption Education Time Consumption by Age, Gender and Education

TransfersArea of Residence Time Transfers by Age, Gender and Area of Residence

Transfers Education Time Transfers by Age, Gender and Education

Discussion and conclusions I.“Disadvantaged” situation affect women while have no or less significant effect on men II.Lower levels of paid work in the South result in higher levels of unpaid work for women and of leisure for men. As a consenquence, Southern women and men have similar and lower amounts of total work compared to Central and Northern Italy, respectively. III.Education shows an inverse relationship with unpaid work for women while affects men (to a less extent) only with regard to childcare

Next steps Use different approaches to estimate consumption Temporal analysis (2003, 2008 and 2014) Comparison with other NTTA/AGENTA countries…?

Acknowledgments  This project has received funding from the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement no  I am grateful to the East West Center’s Research Program for supporting my participation in the Tenth Meeting of Working Group on Macroeconomic Aspects of Intergenerational Transfer: International Symposium on Demographic Change and Policy Response

… thanks !