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Improving	
  Child	
  Outcomes	
  through	
  
Social	
  Protec8on:	
  Evidence	
  from	
  the	
  
Transfer	
  Project	
  
Prepared	
  by	
  UNICEF	
  Office	
  of	
  Research-­‐Innocen8	
  
For	
  the	
  
AU	
  Expert	
  Consulta8on	
  on	
  Children	
  and	
  Social	
  Protec8on	
  
Systems	
  in	
  Africa	
  
April	
  2014	
  
Social	
  Protec8on	
  is	
  thriving	
  in	
  Africa	
  
•  Focusing	
  on	
  cash	
  transfer	
  programs	
  alone	
  
– >120	
  programs	
  across	
  the	
  con8nent	
  of	
  all	
  kinds	
  
– ~30	
  long-­‐term	
  development	
  programs	
  in	
  20	
  
countries	
  
•  Programs	
  are	
  ‘home-­‐grown’	
  
– Target	
  on	
  poverty	
  and	
  vulnerability;	
  greater	
  role	
  
of	
  community	
  
– Uncondi8onal	
  
– Larger	
  evidence	
  base	
  on	
  impacts	
  than	
  any	
  other	
  
region:	
  more	
  countries,	
  more	
  topics	
  
Variety	
  of	
  Designs	
  
•  Universal	
  old	
  age	
  pensions;	
  near	
  universal	
  child	
  grants	
  
–  Primarily	
  (wealthier)	
  Southern	
  African	
  countries	
  
•  Targeted	
  programs	
  to	
  specific	
  vulnerabili8es	
  (ultra-­‐poor	
  
+	
  labor	
  constraints,	
  OVC,	
  disability,	
  etc)	
  ***	
  
–  Ghana,	
  Kenya,	
  Lesotho,	
  Liberia,	
  Malawi,	
  Zambia,	
  ZIM	
  
•  Cash	
  for	
  work	
  for	
  able	
  bodied	
  
–  Ethiopia,	
  Rwanda	
  
•  A	
  few	
  condi8onal	
  programs	
  
–  Burkina	
  Faso,	
  Tanzania,	
  Nigeria	
  
•  Cash	
  in	
  emergency	
  secngs	
  
–  Niger,	
  Mali,	
  Somalia	
  	
  
0.01.02.03.04
Density
0 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100
age
0.01.02.03.04
Density
0 20 40 60 80 100
age
0.01.02.03.04
Density
0 20 40 60 80
age at baseline
Zambia SCT (Monze Evaluation)
0.02.04.06
Density
0 20 40 60 80 100
Age in Wave 1
Kenya CT-OVC
Malawi SCT Zimbabwe HSCT
‘AIDS Sensitive not AIDS Exclusive’
Unique demographic structure of recipient households
In OVC and labor-constrained models (missing prime-ages)
•  Malawi	
  SCT	
  	
  
–  Mchinji	
  pilot,	
  2008-­‐2009	
  
–  Expansion,	
  2013-­‐2014	
  
•  Kenya	
  
–  CT	
  OVC,	
  2007-­‐2011	
  
–  CT	
  OVC,	
  Expansion,	
  2012-­‐2014	
  
–  HSNP,	
  Pilot	
  2010-­‐2012	
  
•  Mozambique	
  PSA	
  
–  Expansion,	
  2008-­‐2009	
  	
  
•  Zambia	
  
–  Monze	
  pilot,	
  2007-­‐2010	
  
–  Child	
  Grant,	
  MCP,	
  2010-­‐2014	
  
–  IE	
  of	
  scale	
  up	
  2014?	
  
•  South	
  Africa	
  CSG	
  
–  Retrospec8ve,	
  2010	
  
•  Burkina	
  Faso	
  
–  Experiment,	
  2008-­‐2010	
  
•  Ethiopia
–  PNSP, 2006-2010
–  Tigray SPP, 2012-2014
•  Ghana LEAP
–  2010-2012
•  Lesotho, CGP
–  2011-2013
•  Uganda, SAGE
–  Pilot, 2012-2014
•  Zimbabwe, SCT
–  2013-2015
•  Tanzania, TASAF
–  Pilot, 2009-2012
–  Expansion, 2012-2014
•  Niger
–  Begins in 2012
Deep evidence base on CTs: 19 impact evaluations in 13 countries
Transfer Project: Initiative
to support rigorous impact
evaluation of CTs
Your	
  three	
  tweets	
  from	
  this	
  
presenta8on*	
  
•  Rigorous	
  evidence	
  from	
  Africa	
  is	
  unmatched	
  in	
  
any	
  other	
  region	
  
– No	
  longer	
  must	
  we	
  talk	
  about	
  the	
  LAC	
  experience	
  
•  Impacts	
  are	
  ‘phenomenal’—cash	
  in	
  the	
  hands	
  
of	
  poor	
  people	
  is	
  transforma8ve	
  
•  But	
  specifics	
  malers:	
  effects	
  depend	
  on	
  
implementa8on,	
  program	
  design	
  and	
  context	
  
* @ashudirect
Consistent	
  posi8ve	
  impacts	
  on	
  subjec8ve	
  
well-­‐being	
  of	
  main	
  respondent	
  
Ghana	
  LEAP	
   16pp	
  increase	
  in	
  propor8on	
  repor8ng	
  ‘yes’	
  to	
  “Are	
  you	
  
happy	
  with	
  your	
  life?”	
  
Malawi	
  SCT	
   20pp	
  increase	
  in	
  propor8on	
  ‘very	
  sa8sfied’	
  with	
  their	
  life	
  
Kenya	
  CT-­‐OVC*	
   6%	
  increase	
  in	
  Quality	
  of	
  Life	
  score	
  
Zambia	
  CGP	
   45%	
  increase	
  in	
  propor8on	
  who	
  believe	
  ‘they	
  are	
  beler	
  
off	
  than	
  12	
  months	
  ago’	
  
Zambia	
  Monze*	
   10pp	
  increase	
  in	
  propor8on	
  who	
  feel	
  ‘their	
  life	
  will	
  be	
  
beler	
  in	
  2	
  years”	
  
All impact estimates use ‘difference in differences’ between treatment and
comparison group except those with *
Big	
  impacts	
  on	
  food	
  security;	
  but	
  
consump8on	
  impacts	
  depend	
  on	
  
implementa8on	
  
Ghana*	
   10pp	
  reduc8on	
  in	
  propor8on	
  of	
  children	
  missing	
  a	
  meal	
  for	
  an	
  
en8re	
  day	
  ;	
  no	
  impact	
  on	
  consump8on	
  	
  
Lesotho	
   11pp	
  reduc8on	
  in	
  propor8on	
  of	
  children	
  who	
  had	
  to	
  eat	
  fewer	
  
meals	
  because	
  of	
  food	
  shortage;	
  	
  no	
  impact	
  on	
  consump8on	
  
Malawi	
   30%	
  increase	
  in	
  consump8on;	
  60pp	
  increase	
  in	
  propor8on	
  of	
  
households	
  ea8ng	
  meat	
  or	
  fish	
  (diet	
  diversity)	
  
Kenya	
   10%	
  increase	
  in	
  consump8on	
  (and	
  improved	
  diet	
  diversity)	
  
Zambia	
  CGP	
   30%	
  increase	
  in	
  consump8on	
  (and	
  improved	
  diet	
  diversity)	
  
School	
  enrollment	
  impacts	
  among	
  secondary	
  age	
  
children	
  strong,	
  equal	
  to	
  those	
  from	
  CCTs	
  in	
  La8n	
  
America	
  
0	
  
2	
  
4	
  
6	
  
8	
  
10	
  
12	
  
14	
  
16	
  
18	
  
20	
  
Malawi	
  
SCT	
  
Lesotho	
   LEAP	
   Kenya	
   RSA-­‐CSG	
   Zambia	
  
(Monze)	
  
Liberia	
   Ethiopia	
  
All Girls only
Regular	
  impacts	
  on	
  morbidity,	
  but	
  
less	
  consistency	
  on	
  care	
  seeking	
  
Ghana	
  LEAP	
   20pp	
  increases	
  in	
  health	
  insurance	
  coverage	
  
Lesotho	
  CGP	
   15pp	
  decrease	
  in	
  illness	
  among	
  children	
  0-­‐59	
  months	
  
Liberia	
  SCT	
   20pp	
  increase	
  in	
  cura8ve	
  care	
  seeking	
  
Kenya	
  CT-­‐OVC	
   12pp	
  increase	
  in	
  well-­‐baby	
  clinic	
  alendance	
  ater	
  4	
  
years;	
  25%	
  increase	
  in	
  health	
  spending	
  
Malawi	
  SCT	
   12pp	
  decrease	
  in	
  illness	
  among	
  children	
  
South	
  Africa	
  CSG	
   9	
  pp	
  decrease	
  in	
  illness	
  (boys	
  only)	
  
Zambia	
  CSG	
   5pp	
  reduc8on	
  in	
  diarrhea	
  among	
  kids	
  0-­‐59	
  months	
  
Health impacts are not as consistent as schooling impacts;
Supply of services typically much lower than for education sector;
More consistent impacts on health expenditure (increases);
Impacts	
  on	
  nutri8onal	
  status	
  
depend	
  on	
  other	
  factors	
  
Ghana	
  LEAP	
   Not	
  measured	
  
Lesotho	
  CGP	
   Not	
  measured	
  
Kenya	
  CT-­‐OVC	
   None	
  
Malawi	
  SCT	
   11pp	
  reduc8on	
  in	
  underweight	
  
South	
  Africa	
  CSG	
   0.19	
  STD	
  increase	
  in	
  height	
  z-­‐score	
  if	
  mother	
  has	
  more	
  
than	
  grade	
  8	
  
Zambia	
  CSG	
   5pp	
  increase	
  in	
  IYCF	
  (6-­‐24	
  months);	
  
Reduc8on	
  in	
  stun8ng	
  if	
  mother	
  has	
  higher	
  educa8on	
  or	
  
if	
  protected	
  water	
  source	
  in	
  home	
  
Very few kids 0-59 months in OVC or labor-constrained programs;
Determinants of nutrition are complex, complementary inputs more important;
Emerging	
  evidence	
  that	
  transfers	
  enable	
  safe-­‐
transi8on	
  of	
  adolescents	
  into	
  adulthood	
  
Kenya	
  CT-­‐OVC	
   8pp	
  reduc8on	
  in	
  sexual	
  debut	
  among	
  15-­‐25	
  year	
  olds	
  
5pp	
  reduc8on	
  in	
  probability	
  of	
  depressive	
  symptoms	
  15-­‐21	
  
year	
  olds	
  
6pp	
  reduc8on	
  in	
  pregnancy	
  among	
  15-­‐21	
  year	
  olds	
  
South	
  Africa	
  CSG	
  
(Cluver	
  et	
  al)	
  
53%	
  reduc8on	
  in	
  odds	
  of	
  transac8onal	
  sex	
  girls	
  10-­‐18;	
  
63%	
  reduc8on	
  in	
  age-­‐disparate	
  sex	
  girls	
  10-­‐18;	
  
South	
  Africa	
  CSG	
  
(EPRI)	
  
16pp	
  reduc8on	
  in	
  sexual	
  debut;	
  
Receiving	
  grant	
  at	
  earlier	
  ages	
  reduces	
  likelihood	
  of	
  
alcohol	
  and	
  drug	
  use	
  in	
  teenage	
  years;	
  
Spillover or ‘bonus’ effects of social cash transfers;
Illustrates the transformative potential of social protection--exciting;
Similar research ongoing in Malawi, Zambia and Zimbabwe
Some	
  details:	
  What	
  affects	
  type	
  and	
  
size	
  of	
  impacts?	
  	
  
•  Predictability	
  of	
  transfers	
  
– Allows	
  planning,	
  consump8on	
  smoothing	
  
•  Size	
  of	
  transfer	
  and	
  protec8on	
  from	
  infla8on	
  
– Rule	
  of	
  thumb	
  of	
  20	
  percent	
  of	
  mean	
  
consump8on	
  
•  Context!	
  
– supply	
  of	
  health	
  and	
  educa8on,	
  user	
  fees	
  
•  Whom	
  you	
  target	
  
– Households	
  with	
  more	
  adolescents,	
  larger	
  
poten8al	
  impacts	
  on	
  adolescents	
  
Ngiyabonga,	
  Dankie,	
  Thank	
  you!	
  

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Improving Child Outcomes through Social Protection: Evidence from the Transfer Project?

  • 1. Improving  Child  Outcomes  through   Social  Protec8on:  Evidence  from  the   Transfer  Project   Prepared  by  UNICEF  Office  of  Research-­‐Innocen8   For  the   AU  Expert  Consulta8on  on  Children  and  Social  Protec8on   Systems  in  Africa   April  2014  
  • 2. Social  Protec8on  is  thriving  in  Africa   •  Focusing  on  cash  transfer  programs  alone   – >120  programs  across  the  con8nent  of  all  kinds   – ~30  long-­‐term  development  programs  in  20   countries   •  Programs  are  ‘home-­‐grown’   – Target  on  poverty  and  vulnerability;  greater  role   of  community   – Uncondi8onal   – Larger  evidence  base  on  impacts  than  any  other   region:  more  countries,  more  topics  
  • 3.
  • 4. Variety  of  Designs   •  Universal  old  age  pensions;  near  universal  child  grants   –  Primarily  (wealthier)  Southern  African  countries   •  Targeted  programs  to  specific  vulnerabili8es  (ultra-­‐poor   +  labor  constraints,  OVC,  disability,  etc)  ***   –  Ghana,  Kenya,  Lesotho,  Liberia,  Malawi,  Zambia,  ZIM   •  Cash  for  work  for  able  bodied   –  Ethiopia,  Rwanda   •  A  few  condi8onal  programs   –  Burkina  Faso,  Tanzania,  Nigeria   •  Cash  in  emergency  secngs   –  Niger,  Mali,  Somalia    
  • 5. 0.01.02.03.04 Density 0 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100 age 0.01.02.03.04 Density 0 20 40 60 80 100 age 0.01.02.03.04 Density 0 20 40 60 80 age at baseline Zambia SCT (Monze Evaluation) 0.02.04.06 Density 0 20 40 60 80 100 Age in Wave 1 Kenya CT-OVC Malawi SCT Zimbabwe HSCT ‘AIDS Sensitive not AIDS Exclusive’ Unique demographic structure of recipient households In OVC and labor-constrained models (missing prime-ages)
  • 6. •  Malawi  SCT     –  Mchinji  pilot,  2008-­‐2009   –  Expansion,  2013-­‐2014   •  Kenya   –  CT  OVC,  2007-­‐2011   –  CT  OVC,  Expansion,  2012-­‐2014   –  HSNP,  Pilot  2010-­‐2012   •  Mozambique  PSA   –  Expansion,  2008-­‐2009     •  Zambia   –  Monze  pilot,  2007-­‐2010   –  Child  Grant,  MCP,  2010-­‐2014   –  IE  of  scale  up  2014?   •  South  Africa  CSG   –  Retrospec8ve,  2010   •  Burkina  Faso   –  Experiment,  2008-­‐2010   •  Ethiopia –  PNSP, 2006-2010 –  Tigray SPP, 2012-2014 •  Ghana LEAP –  2010-2012 •  Lesotho, CGP –  2011-2013 •  Uganda, SAGE –  Pilot, 2012-2014 •  Zimbabwe, SCT –  2013-2015 •  Tanzania, TASAF –  Pilot, 2009-2012 –  Expansion, 2012-2014 •  Niger –  Begins in 2012 Deep evidence base on CTs: 19 impact evaluations in 13 countries Transfer Project: Initiative to support rigorous impact evaluation of CTs
  • 7. Your  three  tweets  from  this   presenta8on*   •  Rigorous  evidence  from  Africa  is  unmatched  in   any  other  region   – No  longer  must  we  talk  about  the  LAC  experience   •  Impacts  are  ‘phenomenal’—cash  in  the  hands   of  poor  people  is  transforma8ve   •  But  specifics  malers:  effects  depend  on   implementa8on,  program  design  and  context   * @ashudirect
  • 8. Consistent  posi8ve  impacts  on  subjec8ve   well-­‐being  of  main  respondent   Ghana  LEAP   16pp  increase  in  propor8on  repor8ng  ‘yes’  to  “Are  you   happy  with  your  life?”   Malawi  SCT   20pp  increase  in  propor8on  ‘very  sa8sfied’  with  their  life   Kenya  CT-­‐OVC*   6%  increase  in  Quality  of  Life  score   Zambia  CGP   45%  increase  in  propor8on  who  believe  ‘they  are  beler   off  than  12  months  ago’   Zambia  Monze*   10pp  increase  in  propor8on  who  feel  ‘their  life  will  be   beler  in  2  years”   All impact estimates use ‘difference in differences’ between treatment and comparison group except those with *
  • 9. Big  impacts  on  food  security;  but   consump8on  impacts  depend  on   implementa8on   Ghana*   10pp  reduc8on  in  propor8on  of  children  missing  a  meal  for  an   en8re  day  ;  no  impact  on  consump8on     Lesotho   11pp  reduc8on  in  propor8on  of  children  who  had  to  eat  fewer   meals  because  of  food  shortage;    no  impact  on  consump8on   Malawi   30%  increase  in  consump8on;  60pp  increase  in  propor8on  of   households  ea8ng  meat  or  fish  (diet  diversity)   Kenya   10%  increase  in  consump8on  (and  improved  diet  diversity)   Zambia  CGP   30%  increase  in  consump8on  (and  improved  diet  diversity)  
  • 10. School  enrollment  impacts  among  secondary  age   children  strong,  equal  to  those  from  CCTs  in  La8n   America   0   2   4   6   8   10   12   14   16   18   20   Malawi   SCT   Lesotho   LEAP   Kenya   RSA-­‐CSG   Zambia   (Monze)   Liberia   Ethiopia   All Girls only
  • 11. Regular  impacts  on  morbidity,  but   less  consistency  on  care  seeking   Ghana  LEAP   20pp  increases  in  health  insurance  coverage   Lesotho  CGP   15pp  decrease  in  illness  among  children  0-­‐59  months   Liberia  SCT   20pp  increase  in  cura8ve  care  seeking   Kenya  CT-­‐OVC   12pp  increase  in  well-­‐baby  clinic  alendance  ater  4   years;  25%  increase  in  health  spending   Malawi  SCT   12pp  decrease  in  illness  among  children   South  Africa  CSG   9  pp  decrease  in  illness  (boys  only)   Zambia  CSG   5pp  reduc8on  in  diarrhea  among  kids  0-­‐59  months   Health impacts are not as consistent as schooling impacts; Supply of services typically much lower than for education sector; More consistent impacts on health expenditure (increases);
  • 12. Impacts  on  nutri8onal  status   depend  on  other  factors   Ghana  LEAP   Not  measured   Lesotho  CGP   Not  measured   Kenya  CT-­‐OVC   None   Malawi  SCT   11pp  reduc8on  in  underweight   South  Africa  CSG   0.19  STD  increase  in  height  z-­‐score  if  mother  has  more   than  grade  8   Zambia  CSG   5pp  increase  in  IYCF  (6-­‐24  months);   Reduc8on  in  stun8ng  if  mother  has  higher  educa8on  or   if  protected  water  source  in  home   Very few kids 0-59 months in OVC or labor-constrained programs; Determinants of nutrition are complex, complementary inputs more important;
  • 13. Emerging  evidence  that  transfers  enable  safe-­‐ transi8on  of  adolescents  into  adulthood   Kenya  CT-­‐OVC   8pp  reduc8on  in  sexual  debut  among  15-­‐25  year  olds   5pp  reduc8on  in  probability  of  depressive  symptoms  15-­‐21   year  olds   6pp  reduc8on  in  pregnancy  among  15-­‐21  year  olds   South  Africa  CSG   (Cluver  et  al)   53%  reduc8on  in  odds  of  transac8onal  sex  girls  10-­‐18;   63%  reduc8on  in  age-­‐disparate  sex  girls  10-­‐18;   South  Africa  CSG   (EPRI)   16pp  reduc8on  in  sexual  debut;   Receiving  grant  at  earlier  ages  reduces  likelihood  of   alcohol  and  drug  use  in  teenage  years;   Spillover or ‘bonus’ effects of social cash transfers; Illustrates the transformative potential of social protection--exciting; Similar research ongoing in Malawi, Zambia and Zimbabwe
  • 14. Some  details:  What  affects  type  and   size  of  impacts?     •  Predictability  of  transfers   – Allows  planning,  consump8on  smoothing   •  Size  of  transfer  and  protec8on  from  infla8on   – Rule  of  thumb  of  20  percent  of  mean   consump8on   •  Context!   – supply  of  health  and  educa8on,  user  fees   •  Whom  you  target   – Households  with  more  adolescents,  larger   poten8al  impacts  on  adolescents