tenth meeting of working group on macroeconomic aspects of intergenerational transfer national...

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

… … thanks !thanks !

marina.zannella@oeaw.ac.at