Tia Palermo form UNICEF Innocenti presents her work on the impacts of social protection on intimate partner violence in Ghana at our CSW63 side event in UN Women in New York in March 2019.
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Impacts of Integrated Social Protection on IPV: the case of Ghana's LEAP 1000
1. unite for
children
Impacts of integrated social protection
on IPV: The case of Ghana’s LEAP 1000
CSW 63: Side Event, March 13, 2019
“Leveraging Cash Transfers to reduce IPV at scale”
Tia Palermo, UNICEF Office of Research—Innocenti
On behalf of Amber Peterman, Elsa Valli & the LEAP 1000 Evaluation Team
2. 2
Motivation: Large-scale social
protection in Africa
• Promising evidence that cash transfers reduce IPV,
however majority of evidence from LAC
• Evidence from Africa (2 empirical studies) both focused
on NGO small-scale studies
• Literature has not sufficiently covered cash plus
programming—or different vulnerable groups (e.g.,
pregnant women)
• Generally mechanisms hypothesized, but not directly
tested
3. 3
Study objectives
Examine whether a
government social protection
program targeted to
extremely poor, rural
households with pregnant
and recently pregnant women
in Ghana had an impact on
past-year prevalence and
frequency of IPV;
Through which pathways;
Assess if family structure
matters (polygamous v.
monogamous)
4. 4
LEAP 1000 program
Part of government-led, nationwide unconditional cash
transfer program: Livelihood Empowerment Against
Poverty (LEAP) program
Program objectives: 1) Alleviate short-term poverty and 2)
Encourage long-term human capital development
LEAP 1000 specific focus on nutrition and stunting
Targets pregnant women or women with a child <1 year
Bi-monthly cash transfer [approx. GH₵76 (EUR14)] and
health insurance (NHIS) premium waiver
Initial coverage of LEAP 1000: 6,220 households in 10
districts in Northern Ghana
5. 5
LEAP 1000: Evaluation Design & sample
2-year mixed method, quasi-
experimental, longitudinal study
8,058 households targeted by
government and 3,619 deemed
eligible
Baseline (Jul-Sept 2015), Endline
(Jul-Sept 2017)
Female enumerators, interviews
conducted in privacy
Analysis sample: N=2,083 women
(1,060 T & 1,023 C)
Analysis methodology: Difference-in-
difference leveraging proxy-means
eligibility threshold Districts: Yendi, Karaga, East
Mamprusi, Bongo Garu Tempane
6. 6
Measures: IPV Outcomes
Based on modified Conflict Tactics Scale
Any experience in prior 12 months
Frequency in prior 12 months (0=never, 1=sometimes, 2=often for
each item; standardized)
Controlling behaviors, 7 questions (any; frequency 0 – 7)
Emotional IPV, 4 questions (any; frequency range 0 – 8)
Physical IPV, 7 questions (any; frequency range 0 – 14)
Sexual IPV, 2 questions (any; frequency range 0 – 4)
Emotional/Physical/Sexual IPV, 13 questions (any; frequency
range 0 – 26)
7. 7
Comparison of IPV levels in LEAP to
national statistics (GDHS 2009)
12-month measures
66%
60%
36%
19%
35%
31%
18%
5%
0%
10%
20%
30%
40%
50%
60%
70%
Combined IPV Emotional IPV Physical IPV Sexual IPV
LEAP sample National sample
** Controlling behaviors not displayed as DHS only collects lifetime
indicators (LEAP sample = 82%)
9. 9
LEAP 1000: Impacts on IPV
• Overall IPV experience
No reductions in overall experience among full sample
5 - 8 percentage point decreases in overall IPV experience
among monogamous sample only (6 pp emotional, 5 pp physical
& 8 pp combined IPV)
However, women in polygamous unions at increased risk of IPV
overall
• Frequency of IPV
0.09 - 0.11 standard deviation decrease among full sample (0.11
emotional, 0.09 physical & 0.11 combined IPV)
10. 10
LEAP 1000: Summary of pathway impacts
Positive impacts on:
Economic security (less likely to be poor
and extremely poor; 3-5 pp)
Monthly expenditures (~ 7 Cedis AE)
Monthly food expenditures (~ 5-6 Cedis
AE)
Locus of control
Savings
Social support
Valid NHIS card; health seeking behavior
No impacts on:
Self perceived stress
Life satisfaction
Partner drinking
Expenditures on alcohol
Women’s decision-making
Women’s agency
11. 11
Discussion & conclusion
LEAP 1000 reduced frequency of emotional, physical, any IPV
measures in the full sample
Any experience of IPV only reduced in the monogamous sample
No impacts on experience among polygamous sample, which is at
highest risk of IPV
Pathways include economic standing/emotional wellbeing & women’s
empowerment
Results underscore that cash transfers can have improve wellbeing
beyond primary program objectives – frequency/intensity are rarely
measured – but may be under-appreciated, positive benefit
Findings indicate that target group & family structure matters in
delivering impacts – yet we know little about why or how
We are not able to break out the contribution of the ‘plus’ (health
insurance waiver), more research on program design needed
13. 13
LEAP 1000 Evaluation Team:
UNICEF Office of Research – Innocenti: Tia Palermo (co-Principal Investigator), Richard de Groot,
Elsa Valli;
Institute of Statistical, Social and Economic Research (ISSER), University of Ghana: Isaac Osei-
Akoto (co-Principal Investigator), Clement Adamba, Joseph K. Darko, Robert Darko Osei, Francis
Dompae and Nana Yaw;
Carolina Population Center, University of North Carolina at Chapel Hill: Clare Barrington (co-
Principal Investigator), Gustavo Angeles, Sudhanshu Handa (co-Principal Investigator), Frank
Otchere, Marlous de Miliano;
Navrongo Health Research Centre (NHRC): Akalpa J. Akaligaung (co-Principal Investigator) and
Raymond Aborigo.
For more information: Tia Palermo (tmpalermo@unicef.org)
Citation: Peterman A, Valli E, Palermo T, On Behalf of the LEAP 1000 Evaluation Team.
“Government Anti-Poverty Programming and Intimate Partner Violence in Ghana.” Under
review.
14. 14
Acknowledgements
We are grateful for the support of the Government of Ghana for the implementation
of this evaluation, in particular William Niyuni, Mawutor Ablo and Richard Adjetey
from the Ministry of Gender, Children and Social Protection. In addition, the
UNICEF Ghana team was instrumental to the success of this report: Sara
Abdoulayi, Luigi Peter Ragno, Jennifer Yablonski, Sarah Hague, Maxwell Yiryele
Kuunyem, Tayllor Spadafora, Christiana Gbedemah and Jonathan Nasonaa
Zakaria.
We would also like to acknowledge the hard-working field teams of ISSER and
NHRC, who conducted the data collection for this study to the highest standards.
Funding for the evaluation was generously provided by the United States Agency
for International Development (USAID) and the Canadian International
Development Agency (CIDA). Additional funding to include intimate partner violence
modules in the evaluation and to produce this paper was received from an
Anonymous donor and the American World Jewish Services by the UNICEF Office
of Research—Innocenti via the US Fund for UNICEF. We thank Laura Meucci and
Michelle Kate Godwin for grant administrative support.
Editor's Notes
From Buller et al. review: Two quant studies were from GiveDirectly (Kenya) and HPTN 68 (South Africa) – while both showed decreases, these were small scale NGO programs and target groups were limited to a subset of the population in one area (district) in each case. This is promising, but potential of cash transfers lies in larger scale programs, thus the next step is to test within national programs.
In the current study, we aim to provide evidence around three of these gaps: regional, frequency & pathways
Rational for family structure: Past literature has shown that levels of conflict varies by household structure, somewhat unique to Africa, 30% of household in the Ghana sample are polygamous
LEAP 1000 now scaled up and integrated nationwide into LEAP
10 districts: Yendi, Karaga, East Mamprusi in the Northern Region and Bongo and Garu Tempane in the Upper East Region
We then standardize the frequency measures by subtracting the control group mean for each round and dividing by the control standard deviation
For controlling behaviors, we simply sum each behaviorally binary specific indicator, and the raw frequency ranges from zero to seven. We use standardized indices for the impact analysis, however present raw frequencies for descriptive tables and figures for ease of interpretation