This document discusses two research questions regarding information diffusion and collective action. The first examines the effectiveness of different information dissemination strategies, such as using phone/IVR broadcasts versus government representatives versus social network seeds. The second analyzes how social network information and participation affects individual participation in community activities. Experiments will be conducted in 80 villages randomized to different information conditions to identify optimal information strategies and examine threshold and free-riding effects on collective action. Network and participation data will be collected through household surveys to analyze the research questions.
Pests of castor_Binomics_Identification_Dr.UPR.pdf
Studying Info Diffusion & Collective Action
1. Network Experiments &
Interventions:
Studying Information Diffusion
and Collective Action
Manoj Mohanan (Duke)
Collaborators:
Vikram Rajan (World Bank) Harsha Thirumurthy (UNC)
Arun Chandrashekhar (Stanford) Kendal Swanson (Duke),
Jim Moody (Duke)
2. Key Research Questions
• Brief background (so brief, that I don’t even have a bullet point!)
• 1. Spread the word: (information diffusion)
• Effectiveness of broadcast strategy (using phone or IVR) v/s
government representatives v/s social network seeds on:
• Village level participation in community activities
• Individual level spread (quality of information transfer)
• IDENTIFY OPTIMAL STRATEGIES FOR INFORMATION
DISSEMINATION FOR PUBLIC POLICY
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3. Research Question … contd
• 2. Should I go or should I stay?
• Individual decision to participate in community (collective action
problem)
• Participation as a function of information within network (if more
people within my network are reminded about upcoming event,
am I more likely to go?)
• Individual Participation as a function of participation within
network (if more people within my network are going to
participate in an upcoming event, am I more likely to go?)
• Are there threshold effects for participation in collective action?
• Do we see evidence of free riding?
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4. Our network data
• Census of all households in 80 intervention areas (avg. 400HH
per village)
• Questions about information sharing, borrowing money and
social time on all adult individuals
• Uniquely identified to every household (individual within
household) with cell phone numbers
• Example of what our data looks like (thanks to Jim Moody and
the DNAC!):
http://www.soc.duke.edu/~jmoody77/dnacconsults/v7_mrtest.
htm
http://www.soc.duke.edu/~jmoody77/dnacconsults/v8_mrtest.
htm
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5. Design of the experiment(s)
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6. Information Experiment
• Effectiveness of methods of information dissemination:
• Randomize villages to receive info about meetings and VNHD
• Month 1: Network seeds v/s Broadcast message
• Month 2: Government seeds v/s Broadcast
• End of every month collect information from ~32000 hh using IVR
• Variant of above specification (limited to villages w facilitation)
with individual participation in meeting as the dependent
variable
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7. Networks & Collective Action
Experiment - 1
• Key issues about information in relation to social networks
and the participation decision:
• Effect of information diffusion within my network, on my decision
to participate in collective action
• Effect of my networks’ participation, on my decision to participate
in collective action
• Common Knowledge
• Clearly major endogeneity problems here!!!
• Working in multiple months (3,4,5), with multiple rounds of
randomization allows us to test some of these hypothesis
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8. Networks & Collective Action
Experiment - 2
• SMS / IVR info to ALL households about VHND
• Randomize x% of village households to receive a visit
• Visit: reminder about meeting
• Subset (x-k)% receive a small incentive to attend meeting
• NO COMMON KNOWLEDGE in Month 3
• Repeat in Month 4, with re-randomization WITH COMMON
KNOWLEDGE
• EVERY Household that is visited is informed about who else (in their
network) is being visited.
• At end of every month, we collect IVR data on information and
participation from ALL 32000 households.
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9. Design of the experiment(2)
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15. Acknowledgement:
Funding & Support
• Government of Uttar Pradesh
• UP Health Systems Strengthening Project (UPHSSP)
• State Institute of Rural Development (SIRD)
• World Bank – Strategic Impact Evaluation Fund (SIEF)
• Note: This is very early stage work, we plan to roll out interventions
in coming months – so need your advice and feedback!
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16. What is “social accountability?”
• Set of governance interventions
• Increasing community participation
• Strengthen community members’ ability to hold service providers
accountable at the local level
• TWO key channels:
• information provision
• grievance redressal through community engagement
Lots of interest among donors and researchers, empirical
evidence (especially on mechanisms is thin)
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17. Objectives of Research Project
• Impact of Social Accountability on Service Delivery, Utilization,
and Outcomes
• Evaluate the impact of SA interventions when implemented at
scale in a real world policy setting
• Evaluate impact when same policy is implemented at a more
intense facilitated manner (micro level)
• Test mechanism hypotheses:
• Effect of information alone v/s effect of information PLUS
facilitation for community engagement
• Effectiveness of information dissemination strategies:
• Broadcast versus social networks versus government machinery
• Role of social networks in dissemination of information
• Effect of participation within social networks on collective action
• Threshold effects versus free riding
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18. Social Accountability
Research Project
Investigating
Mechanisms
3 arms, randomized
across 120 villages
Info
v/s
Info + Facilitation
* Info dissemination
* Social Networks and
Participation
Policy evaluation (block level)
Randomized across
blocks in 10 districts.
27.3 million population
(51 out of 113 blocks)
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21. SA intervention in policy context
• SA in National Health Mission (2005)
• Village Health Sanitation and Nutrition Committee (VHSNC)
• Committee of local (village) level government
• Statutory role in identifying village level health needs
• Discretionary funds available every year.
• Village Health Nutrition Day (VHND)
• Once a month, services to be provided by the 3 A’s:
• primary care, immunization, ANC, and maternal and child nutrition
supplementation
• Key focus is on childhood (mal)nutrition
• ICDS is the world’s largest nutrition program (~ 2.5 billion USD per
year)
• Leakages, poor quality, low utilization (and probably too little)
• SUBTEXT: Fiscal decentralization in India
• 42% of total tax revenues given to states (up from 32%)
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22. Work done so far
• Program design
• Baseline surveys
• Network surveys
• Draft analysis plan and intervention design
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23. The SA intervention
• State Institute of Rural Development (SIRD)
• 300 GP Coordinators deployed across 51 blocks (plus 16 in the
2 districts)
• key role is to facilitate the constitution of VHSNC and help
coordinate monthly meetings, develop village level score cards
for performance of AAA
• 30 supervisors (block and district level coordinators)
• Will train ~10,000 VHSNC members across all implementation
areas
• May 2016 – training is in progress. Roll out starts next week;
VHSNC meeting starts in July!
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24. Caste Distribution from Baseline
Scheduled
Caste
Scheduled
Tribe
OBC
Households in the 80 intervention villages:
Total
INDIVIDUALs
Mean HH per
village
SD Min Max
88,177 431.06 187.16 64 765
Religion
Hindu
Muslim
Other
25. Age N % Stunted % Wasted
<1 967 22.8% 27.6%
1 1445 31.8% 28.1%
2 1342 44.4% 22.2%
3 1333 48.2% 19.7%
4 1095 52.0% 18.0%
U5 Health Indicators
from Baseline Obs
Awareness
(answered
yes) SD
Knowledge of VHND and VHSNC
VHND organized 4,769 23.0% 0.421
aware of VHND services 4,066 28.5% 0.451
Aware of VHSNC? 4,387 9.3% 0.290
Roles of the Anganwadi worker
nutritional supplements to children 0-6 4,856 66.5% 0.472
nutritional supplements to lactating
women 4,856 49.0% 0.500
Info to mothers 4,856 32.7% 0.469
Assist the ANM in immunization 4,856 28.3% 0.451
Providing her services during VHND 4,856 3.4% 0.181
Awareness
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