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CAN CCTS IMPROVE
  MATERNAL HEALTH
     OUTCOMES?
EVIDENCE FROM EL SALVADOR
      Alan de Brauw and Amber Peterman
  International Food Policy Research Institute
CONDITIONAL CASH
TRANSFER PROGRAMS
In general, CCT programs give cash grants for
families conditional on specific behaviors
Usually have to do with health (e.g. growth
monitoring) or education (children going to school)
  Programs often require or hold meetings for
  beneficiaries on specific topics
Programs also notable for being accompanied by
rigorous impact evaluations
  Now widespread in Central/South America
IMPACTS OF CCTS ON
  MATERNAL HEALTH?
CCTs well positioned to affect maternal health
outcomes at birth, but few studies have attempted to
measure benefits of CCTs for maternal health
  Most evidence from Oportunidades in Mexico (pre-natal
  care; Barber and Gertler, 2009; c-sections increased as
  well), and
  JSY in India (Lin et al., 2010); one time inducement for in-
  facility birth

Several mechanisms by which CCTs might affect
maternal health, even if not included as a condition
for transfers
POSSIBLE MECHANISMS
      FOR IMPACT
1. Free Health Care included as a benefit of program (e.g.
   Oportunidades)

2. Co-responsibilities may include pre- or post-natal care

3. May stimulate demand through health or nutrition
   trainings

4. CCTs may at the same time increase supply of health
   services through investments

5. Income effect increases demand
  A.May be gender differentiated impacts due to transfer
OUTCOMES WE STUDY

1. Adequate pre-natal care
   (defined as 5 visits or
   more during pregnancy)
2. Skilled attendance at
   birth
3. Birth in hospital
4. Post-natal care (defined
   as visit to health care for
   mother within 2 weeks of
   birth)
METHODOLOGY

We use an innovative RDD methodology (de Brauw
and Gilligan, 2011) to measure impacts of
Comunidades Solidarias Rurales on maternal health
outcomes in rural El Salvador

  Methodology allows us to use RDD without
  explicit forcing variable

  Also use double difference to control for pre-
  program conditions
REGRESSION
DISCONTINUITY DESIGN
Identification Assumption: A threshold exists that
splits treatment and control
  From the beneficiaries’ perspective, threshold is exogenous
  Typically determined through a proxy means test or another
  forcing variable
  Observations just above and just below threshold can be
  compared to measure impact of program

Problem in this case is a lack of an explicit forcing
variable
IMPLICIT FORCING
                                                                 15
                                                                      VARIABLE
Percentage of Children Severely Stunted




                                                                                                            A
                                                                                                                    A                       Threshold
                                          Severe Stunting Rate




                                                                                                                            S
                                                                 10




                                                                                                                                        S                         S
                                                                                   A                                                        S
                                                                           A                                                                S
                                                                                                   A

                                                                                                   A
                                                                                           A
                                                                 5




                                                                                       A                    A
                                                                               A                                                            S
                                                                                       A       A           A
                                                                                                                A            S
                                                                                                                             S          SS            S
                                                                                                                        S
                                                                                                       A                    S
                                                                                                                              S S
                                                                                                                                    S
                                                                                                                                                  S
                                                                 0




                                                                      30                               40                                         50                  60
                                                                                                                    Poverty Rate

                                                                                                                Forcing Line                    Cluster Centers
DATA

Come from evaluation surveys of CSR conducted by
IFPRI-FUSADES

  Collected in the beginning and end of 2008

  Treatment and control groups for this part of
  evaluation entered program in 2006 and 2007

In initial survey, asked about birth history over past
three years to construct a before and after comparison
TREATMENT AND
CONTROL GROUPS
                       Entry Date
Before Treatment                        After Treatment


                   2006 entry group




                    October 1st, 2006
Before Treatment                        After Treatment

                   2007 entry group
DESCRIPTIVE CHANGES,
  2006 ENTRY GROUP
              Pre-CSR                   Post-CSR

 100


  75


  50


  25


   0
       Pre-Natal    Skilled Att.   Hospital        Post-Natal
RESULTS: ADEQUATE
                      PRE-NATAL CARE
                     .4
Change in Adequate


                     .2
  Pre-natal care

                     0
                     -.2
                     -.4
                     -.6




                           -15   -10    -5           0           5           10   15
                                       Distance to Cluster Threshold

                                        2006 Entry              2007 Entry
RESULTS: SKILLED
    ATTENDANCE AT BIRTH
                      .4
Attendance at Birth
 Change in Skilled


                      .2
                      0
                      -.2
                      -.4




                            -15   -10    -5           0           5           10   15
                                        Distance to Cluster Threshold

                                         2006 Entry              2007 Entry
RESULTS: BIRTH IN
                         HOSPITALS
                     .4
Change in Birth in


                     .2
   Hospitals

                     0
                     -.2
                     -.4




                           -15   -10    -5           0           5           10   15
                                       Distance to Cluster Threshold

                                        2006 Entry              2007 Entry
RESULTS: POST-NATAL
                    CARE
                       .4
Change in Post-Natal


                       .2
       Care

                       0
                       -.2




                             -15   -10    -5           0           5           10   15
                                         Distance to Cluster Threshold

                                          2006 Entry              2007 Entry
PRIMARY RESULTS

                                             Individual +
    Outcome          no control variables
                                          Household Controls
Adequate pre-natal          -0.112              -0.089
   monitoring              (0.084)             (0.086)
Skilled attendance         0.174                0.164
      at birth           (0.057)***           (0.075)**
                           0.223                0.214
 Birth in hospital
                         (0.052)***           (0.052)***
                            -0.094              -0.093
  Post-natal care
                           (0.138)             (0.140)
IMPACT PATHWAYS

Not a co-responsibility of program to have birth
attended by qualified personnel or in a hospital
Overall income effect also unlikely (transfer is
relatively small)
So three remaining possibilities:
  Through training (capaciticiones)
  Through supply side (increase in access to facilities)
  Through increase in women’s decision making power
CAPACITICIONES?

Impact cannot all be
through trainings

Trainings only began
after transfers did

Short time period for
trainings to affect such
large change
SUPPLY SIDE?

Access to facilities
increased in a non-linear
manner throughout
communities that were
to enter CSR

So cannot be supply
side in isolation of
stimulated demand

Definitely played a role
WOMEN’S DECISION
    MAKING POWER
Women definitely
empowered by CSR,
through transfers and
knowledege (Adato et al.,
2009)
Not clear how to quantify
impact, but with increased
supply and awareness, may
have affected changes
around birth
CONCLUSION

El Salvador’s CCT, Comunidades Solidarias Rurales,
has improved outcomes at birth along some lines

Not other measures of women’s health during
fertility however

To increase impacts, perhaps should also condition
program on pre- and post-natal visits

  Could potentially replace one capaciticion, if
  women feel burdened by program

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3ie el s_adb_2011

  • 1. CAN CCTS IMPROVE MATERNAL HEALTH OUTCOMES? EVIDENCE FROM EL SALVADOR Alan de Brauw and Amber Peterman International Food Policy Research Institute
  • 2. CONDITIONAL CASH TRANSFER PROGRAMS In general, CCT programs give cash grants for families conditional on specific behaviors Usually have to do with health (e.g. growth monitoring) or education (children going to school) Programs often require or hold meetings for beneficiaries on specific topics Programs also notable for being accompanied by rigorous impact evaluations Now widespread in Central/South America
  • 3. IMPACTS OF CCTS ON MATERNAL HEALTH? CCTs well positioned to affect maternal health outcomes at birth, but few studies have attempted to measure benefits of CCTs for maternal health Most evidence from Oportunidades in Mexico (pre-natal care; Barber and Gertler, 2009; c-sections increased as well), and JSY in India (Lin et al., 2010); one time inducement for in- facility birth Several mechanisms by which CCTs might affect maternal health, even if not included as a condition for transfers
  • 4. POSSIBLE MECHANISMS FOR IMPACT 1. Free Health Care included as a benefit of program (e.g. Oportunidades) 2. Co-responsibilities may include pre- or post-natal care 3. May stimulate demand through health or nutrition trainings 4. CCTs may at the same time increase supply of health services through investments 5. Income effect increases demand A.May be gender differentiated impacts due to transfer
  • 5. OUTCOMES WE STUDY 1. Adequate pre-natal care (defined as 5 visits or more during pregnancy) 2. Skilled attendance at birth 3. Birth in hospital 4. Post-natal care (defined as visit to health care for mother within 2 weeks of birth)
  • 6. METHODOLOGY We use an innovative RDD methodology (de Brauw and Gilligan, 2011) to measure impacts of Comunidades Solidarias Rurales on maternal health outcomes in rural El Salvador Methodology allows us to use RDD without explicit forcing variable Also use double difference to control for pre- program conditions
  • 7. REGRESSION DISCONTINUITY DESIGN Identification Assumption: A threshold exists that splits treatment and control From the beneficiaries’ perspective, threshold is exogenous Typically determined through a proxy means test or another forcing variable Observations just above and just below threshold can be compared to measure impact of program Problem in this case is a lack of an explicit forcing variable
  • 8. IMPLICIT FORCING 15 VARIABLE Percentage of Children Severely Stunted A A Threshold Severe Stunting Rate S 10 S S A S A S A A A 5 A A A S A A A A S S SS S S A S S S S S 0 30 40 50 60 Poverty Rate Forcing Line Cluster Centers
  • 9. DATA Come from evaluation surveys of CSR conducted by IFPRI-FUSADES Collected in the beginning and end of 2008 Treatment and control groups for this part of evaluation entered program in 2006 and 2007 In initial survey, asked about birth history over past three years to construct a before and after comparison
  • 10. TREATMENT AND CONTROL GROUPS Entry Date Before Treatment After Treatment 2006 entry group October 1st, 2006 Before Treatment After Treatment 2007 entry group
  • 11. DESCRIPTIVE CHANGES, 2006 ENTRY GROUP Pre-CSR Post-CSR 100 75 50 25 0 Pre-Natal Skilled Att. Hospital Post-Natal
  • 12. RESULTS: ADEQUATE PRE-NATAL CARE .4 Change in Adequate .2 Pre-natal care 0 -.2 -.4 -.6 -15 -10 -5 0 5 10 15 Distance to Cluster Threshold 2006 Entry 2007 Entry
  • 13. RESULTS: SKILLED ATTENDANCE AT BIRTH .4 Attendance at Birth Change in Skilled .2 0 -.2 -.4 -15 -10 -5 0 5 10 15 Distance to Cluster Threshold 2006 Entry 2007 Entry
  • 14. RESULTS: BIRTH IN HOSPITALS .4 Change in Birth in .2 Hospitals 0 -.2 -.4 -15 -10 -5 0 5 10 15 Distance to Cluster Threshold 2006 Entry 2007 Entry
  • 15. RESULTS: POST-NATAL CARE .4 Change in Post-Natal .2 Care 0 -.2 -15 -10 -5 0 5 10 15 Distance to Cluster Threshold 2006 Entry 2007 Entry
  • 16. PRIMARY RESULTS Individual + Outcome no control variables Household Controls Adequate pre-natal -0.112 -0.089 monitoring (0.084) (0.086) Skilled attendance 0.174 0.164 at birth (0.057)*** (0.075)** 0.223 0.214 Birth in hospital (0.052)*** (0.052)*** -0.094 -0.093 Post-natal care (0.138) (0.140)
  • 17. IMPACT PATHWAYS Not a co-responsibility of program to have birth attended by qualified personnel or in a hospital Overall income effect also unlikely (transfer is relatively small) So three remaining possibilities: Through training (capaciticiones) Through supply side (increase in access to facilities) Through increase in women’s decision making power
  • 18. CAPACITICIONES? Impact cannot all be through trainings Trainings only began after transfers did Short time period for trainings to affect such large change
  • 19. SUPPLY SIDE? Access to facilities increased in a non-linear manner throughout communities that were to enter CSR So cannot be supply side in isolation of stimulated demand Definitely played a role
  • 20. WOMEN’S DECISION MAKING POWER Women definitely empowered by CSR, through transfers and knowledege (Adato et al., 2009) Not clear how to quantify impact, but with increased supply and awareness, may have affected changes around birth
  • 21. CONCLUSION El Salvador’s CCT, Comunidades Solidarias Rurales, has improved outcomes at birth along some lines Not other measures of women’s health during fertility however To increase impacts, perhaps should also condition program on pre- and post-natal visits Could potentially replace one capaciticion, if women feel burdened by program