social capital and early childhood development evidence from rural india wendy janssens washington,...
TRANSCRIPT
Social Capital and Social Capital and Early Childhood DevelopmentEarly Childhood Development
Evidence from Rural IndiaEvidence from Rural India
Wendy JanssensWashington, 20 May 2004
IntroductionIntroduction
• Background
• Methodology
• Child outcomes
• Conclusion & further research
Social capital and child Social capital and child developmentdevelopment
• Individual level social capital
• Community level social capital
• Social capital and child outcomes– e.g. Runyan et al. (1998), Braatz & Putnam (1998), Willms &
Somers (2001)
HypothesesHypotheses
Programme
Knowledge Collective action
Child outcomes
Externalities in programme Externalities in programme villages?villages?
Programme
Knowledge Collective action
Child outcomes in non-participating households
Child outcomesChild outcomes
• Preschool enrolment
• School enrolment
• Immunization coverage
• Health and hygiene practices
Description of the programmeDescription of the programme
• Context: State of Bihar
• The Mahila Samakhya programme
• Objectives
• Activities e.g.:– training on literacy, health, women’s status– savings and credit groups– informal preschool/school construction
Membership in the programmeMembership in the programmeProgramme villages
MS Members
Non-members
Control villages
Differences between
MS and two comparison
groups: Scheduled Castes 38.9 21.4 19.3 (+) ** Muslim 9.2 11.9 19.5 n.s. Income quintile 1.3 1.6 1.5 (--) *** Household education 2.8 3.1 3.1 (--) * Female education 1.6 1.9 1.9 (--) ** Dependency ratio 0.8 0.7 0.6 (+) ***
• The difference between non-members is never significant at 10% level or less
• The difference between programme villages and control villages never significant at 10% level or less.
Sample selectionSample selection• Sample region
• Sample size and selection:
– 75 programme villages (1500 hh)• 10 participating households (“Members”)• 10 non-participating households (“Non-members”)
– 30 control villages (600 hh)• 20 control households (“Control group”)
• Selection criteria for programme blocks
Sample selectionSample selection
Programme villages
Control villages
Difference
1991 block: % of SC population 15.9 15.2 (+) *
1991 block: % of female literacy 16.3 18.5 (-) ***
1991 village: % of SC population 18.7 17.2 (+) **
1991 village: % of female literacy 14.3 13.5 --
2003 village: mean village income 3.0 3.1 (-) ***
Distance to nearest town 14.8 24.0 (-) *** Distance to health centre 2.2 2.2 --
% villages with: Preschool 63.3 25.6 (+) *** Primary school 85.5 88.3 -- Middle school 24.3 24.5 -- High school 5.9 3.3 --
Data collectionData collection
• Household interviews
• Group interviews / village interviews
• Mahila Samakhya data
• Secondary data
Mahila Samakhya and Mahila Samakhya and educationeducation
• Parental attitudes towards education
• Parental participation in school activities
Parental attitudes towards educationParental attitudes towards education
05
10152025303540
It is each family'sown decision
whether to sendtheir children to
school or not. Youshould not
interfere with that.
Sending girls toschool is a waste
of time and moneybecause they will
have to stay in thehouse anyway.
Young childrenunder 5 do notlearn much by
playing with eachother. To acquireskills it is betterthat they help inthe household.
% t
ha
t a
gre
es
MS members
Non-members
Control
Parental participation in Parental participation in school activitiesschool activities
0
10
20
30
40
50
60
PTA Schoolactivities
Primaryschool
construction
Preschoolconstruction
% MS members
Non-members
Control
Child outcomes (1)Child outcomes (1)
• Preschool enrolment (3 - 5 years olds)
• School enrolment (6 - 13 year olds)
Preschool enrolment by agePreschool enrolment by age
0102030405060708090
100
3 4 5 age
% MS members
Non-members
Control group
Explanatory variablesExplanatory variables• Child characteristics
– Sex– Age
• Household characteristics– Caste, religion– Household and female education– Income– Female head of household– Household size and dependency ratio
• Programme characteristics– Member of Mahila Samakhya– Programme village
• Community characteristics– Number of preschools (schools, distance to health center)– District dummies– Block characteristics (selection criteria)
Preschool enrolmentPreschool enrolmentPreschool enrolment (all hh) Probit s.e.
Child characteristicsSex .246 .156
Age .254 .084***
Household characteristicsMuslim -.671 .397*
Female head of household -.837 .384***
Household size .044 .027*
Dependency ratio .332 .123***
Programme variablesMember of MS (instrumented) 3.372 1.640**
MS village .945 .323***
Community variablesNumber of preschools .744 .141***
Sitamarhi district 1.633 .318***
Darbhanga district -.095 .335
Number of observations 964
*: p<0.10, **: p<0.05, ***: p<0.01
School enrolment by genderSchool enrolment by gender
0
10
20
30
40
50
60
70
80
90
100
girls 6-13 boy 6-13
%MS members
Non-members
Control group
School enrolment by casteSchool enrolment by caste
0102030405060708090
100
SC/ST Otherbackward
castes
Generalcastes
Minorities(Muslims)
MS members
Non-members
Control group
School enrolmentSchool enrolmentPrimary / middle school enrolment Probit s.e.
Child characteristics Sex -.084 .125
Age .108 .035***
Preschool .171 .175
Household characteristics
Scheduled Castes -.514 .297*
Other Backward Castes -.501 .254*
Household education .097 .045**
Female education .035 .112
Income .108 .063*
Household size -.029 .033
Programme variables
Member of MS (instrumented) 1.060 .357***
MS village .054 .141
Community variables
Number of government primary schools -.162 .101
Number of private primary schools -.484 .224**
Sitamarhi district .084 .195
Darbhanga district -.148 .198
Number of observations 2383
Primary / middle school enrolment Only GIRLS Only SC
Child characteristicsSex -.104 .150Age .080 .047* .077 .044*
Household characteristics
Scheduled Castes -.874 .3756**Other Backward Castes -.782 .329**Household education .474 .167*** .564 .183***Female education 1.382 .695** 2.211 .822***Income .021 .088 .299 .082***Household size -.079 .029*** -.094 .059
Programme variables
Member of MS (instrumented) .590 .416 .567 .601MS village .379 .183** .637 .252**
Community variables
Number of private primary schools -.681 .227*** -.813 .340**Sitamarhi district .146 .249 .006 .259Darbhanga district -.166 .229 -.444 .318
Number of observations 1085 639
Child outcomes (2)Child outcomes (2)
• Immunization coverage (0 - 13 year olds):– polio, tuberculosis, diphtheria, measles
• Health and hygiene practices (household):– prevalence and treatment of diarrhea
Immunization coverageImmunization coverage
0
1020
30
4050
60
70
8090
100
Polio Tuberculosis Diphtheria Measles
% MS members
Non-members
Control group
ImmunizationImmunizationDependent variable: Diphtheria s.e. Only SC s.e.
Child characteristics Sex -.167 .071** -.305 .131**
Age -.030 .011*** -.031 .027
Household characteristics
Scheduled Castes -.571 .253**
Other Backward Castes -.576 .235**
Muslim -.868 .280*** -2.976 .477***
Household education .118 .044*** .3449 .187*
Female education .239 .081*** 1.353 .806*
Income
Female head of household -.130 .352 -1.513 .805*
Programme variables
Member of MS (instrumented) 1.056 .310*** .574 .401
MS village .276 .187 .888 .403**
Community variables
Sitamarhi district .269 .316 .123 .556
Darbhanga district -.539 .381 -.976 .496*
Number of observations 4113 1206
Summary immunizationSummary immunization
Total Total girls
Total boys
SC total
SC girls
SC boys
Membership * ** -- ** ** * Polio
MS village -- -- -- -- * --
Membership *** *** ** -- -- -- Diphtheria
MS village -- -- -- ** *** --
Membership *** *** *** -- -- -- Tuberculosis
MS village * -- ** ** ** **
MS village *** *** ** -- -- -- Measles
MS village -- -- -- ** *** **
Prevalence of diarrhea in the Prevalence of diarrhea in the last monthlast month
0%10%20%30%40%50%60%70%80%90%
100%
MS members Non-members
Control
Both adults andchildren
Only children
Only adults
No diarrhea
Treatment of diarrheaTreatment of diarrhea
MS membersReduced orspecial food
ORT
Medecines
No treatment
Non-members Control group
Conclusion (1)Conclusion (1)Evidence suggests positive impact of the
programme on participants:
• increased awareness of parents• increased participation in education• increased child outcomes (preschool,
school, immunization, incidence of diarrhea)
Conclusion (2)Conclusion (2)
External effects of the programme on non-participating households seem substantial:
• increased participation in school activities
• increased child outcomes (preschool, school, immunization) especially for girls and children from Scheduled Castes
Conclusion (3)Conclusion (3)
Importance of good comparison groups in programme evaluation
in order to avoid:
- underestimation of effect on participants- underestimation of externalities
Further researchFurther research
• Other measures of child outcomes
• Mechanisms:– Processes that lead to external effects (role of social
networks in knowledge transmission)– Dynamics of collective action