tenth meeting of working group on macroeconomic aspects of intergenerational transfer national...
TRANSCRIPT
Tenth Meeting of Working Group on Macroeconomic Aspects of Intergenerational Transfer
National School of Development, Peking University, Beijing, China10-14 November 2014
An Analysis of Gender Disparities in Time Transfers by socio-economic status and
geographical area of residence. The case of Italy
Marina ZannellaWittgenstein Centre for Demography and Human Capital
(IIASA, VID/OAW, WU), Vienna Institue of Demography
Sub-sampleGeo Men Women All
North 7,636 8,311 15,947
Centre 3,034 3,423 6,457
South 6,694 7,305 13,999
Education Men Women Total Age
High 1,548 1,841 3,389 20
Medium 5,607 5,888 11,495 15
Low 10,209 11,310 21,519 10
Time allocation
Paid Work Paid Work by Age, Gender and Area of Area of ResidenceResidence
Paid Work Paid Work by Age, Gender and EducationEducation
Unpaid Domestic Work Unpaid Domestic Work by Age, Gender and Area of ResidenceArea of Residence
Unpaid Domestic Work Unpaid Domestic Work by Age, Gender and EducationEducation
Free Time Free Time by Age, Gender and Area of Area of ResidenceResidence
Free Time Free Time by Age, Gender and EducationEducation
Total work Total work by Age, Gender and Area of Area of ResidenceResidence
Total work Total work by Age, Gender and EducationEducation
Consumption and Transfers
Time ConsumptionConsumption by Age, Gender and Area of ResidenceArea of Residence
Time ConsumptionConsumption by Age, Gender and EducationEducation
Time TransfersTransfers by Age, Gender and Area Area of Residenceof Residence
Time TransfersTransfers by Age, Gender and EducationEducation
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. 613247
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
