must we throw household data in the dustbin ? marc pilon ird / ur105 « savoirs et développement »...

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Must we throw household data in the dustbin ? Marc PILON IRD / UR105 « Savoirs et développement » www.ur105.ird.fr [email protected]

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Page 1: Must we throw household data in the dustbin ? Marc PILON IRD / UR105 « Savoirs et développement »  marc.pilon@ird.fr

Must we throw household data in the dustbin ?

Marc PILON

IRD / UR105 « Savoirs et développement »

www.ur105.ird.fr

[email protected]

Page 2: Must we throw household data in the dustbin ? Marc PILON IRD / UR105 « Savoirs et développement »  marc.pilon@ird.fr

FAMILY AND HOUSEHOLD… DIFFERENT REALITIES

• Family : a concept which is not very clear-cut

• Household : a tool for data collection transformed into a unit of analysis

Page 3: Must we throw household data in the dustbin ? Marc PILON IRD / UR105 « Savoirs et développement »  marc.pilon@ird.fr

WHAT CAN BE DONE WITH HOUSEHOLD DATA ?

• Despite different criticisms of the household concept, quite often adequate analysis may produce pertinent results

• Some observations– the kinship link data are more and more neglected in

censuses and surveys – quite poor typologies – weak knowledge about the characteristics of old people

Page 4: Must we throw household data in the dustbin ? Marc PILON IRD / UR105 « Savoirs et développement »  marc.pilon@ird.fr

Illustrations of what can be made

with the example of schooling

• Inadequate School Statistics

• Under-used demographic Data (census, surveys)

• Non school data which have a rich analytical potential…

Page 5: Must we throw household data in the dustbin ? Marc PILON IRD / UR105 « Savoirs et développement »  marc.pilon@ird.fr

some examples…

• Women Heads of Household Appear to Support Schooling More than Men Do

• Importance of School Migration and the Ambiguity of Fosterage vs. Schooling

Page 6: Must we throw household data in the dustbin ? Marc PILON IRD / UR105 « Savoirs et développement »  marc.pilon@ird.fr

Distribution of male students by relation to the Household Head, for each level of education. Burkina Faso, Census of 1996

0

20

40

60

80

100

HH Spouse Son Brother Cousin Nephew Others No link

Primary

Secondary 1st c

Secondary 2nd c

High level

 % Males

Page 7: Must we throw household data in the dustbin ? Marc PILON IRD / UR105 « Savoirs et développement »  marc.pilon@ird.fr

% of Children 7-12 in school by status in the household, according to sex and area of residence,

for Provinces of Burkina Faso, Census of 1996

0

20

40

60

80

0 20 40 60 80

%

%

Urban - Females

Other Children

HH's children

Ouaga

0

20

40

60

80

0 20 40 60 80

%

%

Urban - Females

Other Children

HH's children

Ouaga

0

20

40

60

80

0 20 40 60 80

%

%

Rural - Males

Other Children

HH's children

0

20

40

60

80

0 20 40 60 80

%

%

Rural - Females

Other Children

HH's children

Page 8: Must we throw household data in the dustbin ? Marc PILON IRD / UR105 « Savoirs et développement »  marc.pilon@ird.fr

some examples…

• Household Schooling at the Level

Page 9: Must we throw household data in the dustbin ? Marc PILON IRD / UR105 « Savoirs et développement »  marc.pilon@ird.fr

Indices of Schooling for Children Aged 7-12 at the Household Level, by Sex of the Head and Type of

Residence. Burkina Faso, Census of 1996 Urban areas Rural areas Indices

Male Head

Female Head

Male Head

Female Head

TOTAL

Households with at least one child of school age (7-12 years) (in %)

49.2

51.1

59.8

49.4

57.3

Distribution of households by number of children of school age, if any (in %)

1 44.6 57.7 39.4 53.7 41.4 2 35.6 28.9 32.5 34.5 33.0 3 + 19.8 13.4 28.1 11.8 25.6 Total 100.0 100.0 100.0 100.0 100.0

Average number of children of school age per household

1.86

1.62

2.06

1.64

2.0

Distribution of households by number of children at school (if any)

All children 49.1 5.4 10.1 19.4 16.7 Some children 23.1 19.1 14.4 13.8 15.7 No children 27.8 26.8 75.5 66.8 67.6 Total 100.0 100.0 100.0 100.0 100.0

Households with at least one child in school (7-12 years) (in %)

72.2

73.2

24.5

33.2

32.4

Average number of school age children at school per household

1.14

1.06

0.34

0.44

0.48

Page 10: Must we throw household data in the dustbin ? Marc PILON IRD / UR105 « Savoirs et développement »  marc.pilon@ird.fr

IN CONCLUSION…

Should we throw away all studies we have made using household data ?

• Censuses and classical surveys, based on the household unit, will continue for a long time

so, we have to think how to best analyse these data

but recognise their limitations

Page 11: Must we throw household data in the dustbin ? Marc PILON IRD / UR105 « Savoirs et développement »  marc.pilon@ird.fr

IN CONCLUSION…• How to go beyond the Household ?

– Take account of the phenomenon of non cohabitation :On Household questionnaires, collect information

about non-resident members, and give them a special code for the residential status

for children…Percentage of HH children at school, by age group and

depending of their residential status

Age Male Female

Group Resident Elsewhere Resident Elsewhere

7-12 37,5 32,9 38,5 30,8

13-16 22,1 29,1 20 19

17-19 7 19,4 10 8,7

Page 12: Must we throw household data in the dustbin ? Marc PILON IRD / UR105 « Savoirs et développement »  marc.pilon@ird.fr

IN CONCLUSION…

• How to go beyond the Household ?– Take account of the phenomenon of non

cohabitation between spouses…

For married men, distinguish the total number of wives and the number of wives living with their husband

For married women who are heads of household, important to have information about their husband

Page 13: Must we throw household data in the dustbin ? Marc PILON IRD / UR105 « Savoirs et développement »  marc.pilon@ird.fr

IN CONCLUSION…

• How to go beyond the Household ?

– We need specific quantitative studies, in order to show the problems introduced by classical household concept, their implications for social, economic measures…

– Carry out specific surveys based on an appropriate unit, depending on the subject, the objective of the research