time transfers within households along the lifecycle: a nta and gender perspective
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Time transfers within households along the lifecycle: a NTA and gender perspective. Anne Solaz ( Ined ) Elena Stancanelli (Paris 1). - PowerPoint PPT PresentationTRANSCRIPT
Time transfers within households along the lifecycle: a NTA and gender perspective
Anne Solaz (Ined) Elena Stancanelli (Paris 1)
Time spend on unpaid work along the lifecycle ANXO D., MENCARINI L., PAILHE A., SOLAZ A, TANTURRI M-L., FLOOD L. 2010, "Gender differences in time-use over the life-course. A comparative analysis of France, Italy, Sweden and the United States ", Feminist Economics vol 17 (3), 159-195.
Time spent on total housework, hours par week, USA 2003-2004
0
10
20
30
40
50
60
single <36 withparents
single <36 ontheir own
couple <46 nochildren
couple children0-5
couple children6-15
couple children16-25
empty nest 45-59
couple 60 + single 60 +
Men
Women
Time spent on total housework , FRANCE 1998-1999
0
10
20
30
40
50
60
Singles withParents <36
Singles <36on their own
Couples < 45no children
Coupleschildren 0-5
Coupleschildren 6-15
Coupleschildren 16-25
Couplesempty nestage 45-59
Older retiringcouples >59
Older singles>59
HOUR
S/W
EEK
MenWomen
Time spent on total housework hours per week, SWEDEN 2000
0
10
20
30
40
50
60
Singles withParents<36
Singles <36on their own
Couples < 45no children
Couples,children 0-4
Couples,children 5-12
Couples,children 13-25
Couplesempty nestage 45-59
Older retiringcouples >59
Older singles>59
HOUR
S/W
EEK
MenWomen
Time spent on total housework, hours per week, ITALY 2002-2003
Singles <36 on their own Couples <45,
no children Couples, children 0-5 Couples,
children 6-15 Couples, children 16-25 Couples
empty-nest, age 45-59
Older retiring couples >59 Older singles
>59
Men Women
60
50
40
30
20
10
0 Single <36 with parents
Italie Etats-Unis
SuèdeFrance
Non monetary transfers between generations and sex, invisible for NA, but have an economic value.
Same methodology (NTA): National domestic production (spend by household
members on domestic work) Production is then allocated to groups (age, sex) who
benefit from = National domestic consumption (used by households members)
Unit: time in minutes (might be valued in monetary terms) Life-cycle deficit (Age-specific profiles)
Adding gender and time use in NTA
1985-1986 1998-1999 2010-2011
Survey design 1 daily booklet 5mn 1 daily 10mn 1 or 2 daily (week+week-end) 10mn
Respondents ? Max 2 , if teenager or parental couple
All household members >15
Max 2, Kisk> 11 and possible partner
N households 10373 8186 12069
N individuals 29723 20370 29029
N individuals >18 21464 15569 21853
N daily booklet 16037 15426 27903 (16242 indiv)
N complete households 6407 7452 8210
Individuals in complete household
15087 18075 17456
Comments Sub-representation of complex households
3 French time-use surveys to be compared
Two criterias • Not counted in national accounts = unpaid,
not linked to a market transaction. • Household production= goods and services
which have a value. The activity could be done by someone else if you pay (marketable substitute)
Identifying Unpaid work
Primary activities (secondary ones are of bad quality)• housework Cleaning, laundry, cooking, good and services
purchasing, household managementAnd also “half-leisure” activities such as maintenance
and repairs, garden care, pet care …to be discussed• Childcare :active childcare, including children transport• Care for elderly (adult care)
Definition of unpaid work
Include all activities that concern home production of the current household
Question : What about domestic activities- for other household? other home production- volunteering activities? unpaid work but not home
production not always possible to isolate (1999 survey only), very small amount of time except for care for elderly Adultcare might be for adult outside the household
Question 1 :Definition of unpaid work
• Respondents who filled the daily booklet have a weight
• Children have no individual weight (but have household weight)
« Less worse » solution? - household weights for everybody- average of individual adults weights- Building self weight using census age distributions
Question 2: Which weight do we need to use?
• Complete households? All members have filled the booklet
Advantages : -the equality between C and P is true at the micro-level-total household production might be allocate to different
consumers within household
Drawback: loose of representativeness (for 2010), reduction of sample sizebut we can impute for adults who have not filled time diary
Question 3: Which households to be kept?
• How much time each individual according to age and gender spend on housework production, childcare and adultcare?
Remark: child participation to domestic workload highly dependant of survey design
(interviewed from 15 in 1985 and 1999, from 11 in 2010 )Before this age: no activities reported
1. Production
Daily (mn) domestic work production 1985
0 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 900
60
120
180
240
300
360
h85fchild85f
adul85fh85h
child85hadul85h
Daily (mn) domestic work production 1999
0 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 900
60
120
180
240
300
360
h85fchild85fadul85fh85hchild85hadul85h
Daily (mn) domestic work production 2010
0 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 950
60
120
180
240
300
360
h10fchild10fadul10fh10hchild10hadul10h
Daily(mn) domestic work production 1985, 1999 and 2010
0 10 20 30 40 50 60 70 80 90 1000
60
120
180
240
300
360
420 domcare85f
domcare99f
domcare10f
domcare85h
domcare99h
domcare10h
Gender gap in domestic production
0 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90
-60
0
60
120
180
240
diff 85
diff 99
diff 10
Men Women
Home production by birth cohort
0 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 900
60
120
180
240
300
36082-8681-7772-7667-7162-6657-6152-5647-5142-4637-4132-3627-3122-2617-2112-16
0 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 900
60
120
180
240
300
360
Housework benefit to all household members (cleanness, meals, laundry )
Total domestic time spent by all members divided by number of beneficiers
Childcare benefit to all childrenTotal childcare time divided by number of children
(<18, less?) …to be discussedAdultcare Not enough on a daily reporting basis in
France to allocate it to dependent adults
2. Definition of consumption of housework
Daily(mn) domestic work consumption 1985, 1999 and 2010
0 10 20 30 40 50 60 70 80 90 1000
60
120
180
240
300
360 benefit85fbenefit99fbenefit10fbenefit85hbenefit99hbenefit10h
3. Lifecycle deficit
0 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90-300
-240
-180
-120
-60
0
60
120
180
240
300
net85f net99fnet10f net85hnet99h net10h
Men Women
Lifecycle deficit by cohort and sex
0 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90-240
-180
-120
-60
0
60
120
180
24082-86
81-77
72-76
67-71
62-66
57-61
52-56
47-51
42-46
37-41
32-36
27-31
22-26
17-21
12-160 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90
-240
-180
-120
-60
0
60
120
180
240
Method 1: On each type of activities (cleaning, laundry, cooking, household maintenance and repair, ….) find an average hourly wage of the similar profession obtained from national employment surveys (ex: nannies wage for childcare).
Method 2 : Minimum wage
Method 3 : Opportunity cost ( same time = different monetary evaluation)
4. Monetary evaluation of unpaid work
• High levels of gender specialization that tend to decrease but slowly, thanks to the decrease in female home production rather than an increase in male home production.
• Time cost of childbearing is visible. A key period between 30 and 45 for women and to a lesser extend for men, (later than in 80’s because of the delay in parenthood) that corresponds to the middle of carreer and might participate to explain the gender wage gap (Hersch and Stratton, 1994).
• Birth cohort approach confirm cross-sectionnal approach. It does not predict any change for men participation.
Conclusion
Smoothing with stata (different methods)0
100
200
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dom
care
99f
20 40 60 80 100Age de l'individu l'année d'enquête
kernel = epanechnikov, degree = 0, bandwidth = .84
Local polynomial smooth
010
020
030
040
0do
mca
re99
f
20 40 60 80 100Age de l'individu l'année d'enquête
kernel = biweight, degree = 0, bandwidth = 1.23
Local polynomial smooth
010
020
030
040
0do
mca
re99
f
20 40 60 80 100Age de l'individu l'année d'enquête
kernel = gaussian, degree = 2, bandwidth = 1.75
Local polynomial smooth
010
020
030
040
0do
mca
re99
f
20 40 60 80 100Age de l'individu l'année d'enquête
kernel = epanechnikov, degree = 0, bandwidth = 3
Local polynomial smooth