USING EVIDENCE TO INFORM POLICY: IMPACT EVALUATION OF HUMAN DEVELOPMENT PROGRAMS
Overseas Development Institute May 4, 2010
IMPACT EVALUATION OF HUMAN DEVELOPMENT PROGRAMS ARIEL FISZBEIN - - PowerPoint PPT Presentation
USING EVIDENCE TO INFORM POLICY: IMPACT EVALUATION OF HUMAN DEVELOPMENT PROGRAMS ARIEL FISZBEIN CHIEF ECONOMIST, HUMAN DEVELOPMENT WORLD BANK Overseas Development Institute May 4, 2010 Motivation 2 Since it is difficult to distinguish
Overseas Development Institute May 4, 2010
2
Impact: difference in outcome with and without
with and without comparisons deceptive if participation
before/after comparisons can be misleading if other things
Need to estimate counterfactual (control or comparison)
Treated & control have same characteristics on average, Only reason for difference in outcomes is the intervention
3
Experimental (often using phase in) Quasi-experiments/non-experimental
Regression Discontinuity (RD) Difference in difference – panel data Other (Instrumental Variables, matching, etc)
In all cases, these will involve knowing the rule
Advantages of prospective design
4
5
25 50 75 100 125 150 175 200
As of April 28, 2010
6
Social Protection 20% Health 17% Education 13% ECD & Nutr. 7% Other 9% Gov . 4% Urban Upgr. 6% Agric. 6%
8% Local Dev. 10%
The World Bank Impact Evaluation Program: Thematic Areas HD thematic areas: 58%
Bank IEs
7
6 9 9 13 14 16 19 20 5 10 15 20 25 Education, Other Pay For Performance in Health Malaria HIV Early Childhood Development Active Labor Market Programs School Accountability Conditional Cash Transfers
Number of Ongoing Impact Evaluations Thematic areas
The World Bank Impact Evaluation program on Human Development
8
1 3 10 17 21 54
10 20 30 40 50 60 Europe & Central Asia Middle East & North Africa East Asia & the Pacific Latin America & Caribbean South Asia Africa
Number of Ongoing Impact Evaluations
Regions
The World Bank Impact Evaluation program on Human Development
1.
2.
3.
4.
5.
6.
7.
9
10
11
12
Impact on
Side effects?
Impacts on service
Impacts on human
Mexico (1999) Nicaragua (2002) Colombia (2006) Honduras (2002) Average transfer (%
consumption) 20% 30% 13% 11% Impact on per capita consumption (%) 8.3%** 20.6%** 10%** 7%* Impact: headcount index (% points) 1.3** 5.3** 2.9*
(% points) 3.0** 9.0** 7.0** 2.0* Impact: sqd. poverty gap (% points) 3.4** 8.6** 2.2** 2.0*
13
Age range Baseline enrollment Impact (% points) Size of transfer Colombia
8-13 14-17 91.7% 63.2% 2.1** 5.6*** 17%
Chile
6-15 60.7% 7.5*** 3-7%
Ecuador
6-17 75.2% 10.3*** 10%
Mexico
Grade 0-5 Grade 6 Grade 7-9 94.0% 45.0% 42.5% 1.9 8.7*** 0.6 20%
Nicaragua
7-13 72.0% 12.8*** 30%
Cambodia
Grade 7-9 65.0% 31.3*** 2%
Bangladesh
11-18 44.1% 12.0** 1%
Pakistan
10-14 29.0% 11.1*** 3%
14
Age range Baseline level Impact (% points) Size of transfer Colombia
<24 months 24-48 months n.a. n.a. 22.8** 33.2*** 17%
Chile
0-6 years 17.6% 2.4 7%
Ecuador
3-7 years n.a. 2.7 10%
Honduras
0-3 years 44.0% 20.2*** 9%
Mexico
0-3 years 69.8% 8.4 20%
Nicaragua
0-3 55.4% 13.1* 27%
15
Only mixed success in terms of improving
16
17
Role of conditions: Testing CCTs vs. UCTs
Does it matter who receives the cash? Mothers
Design of payments: Cambodia; Colombia
1.
2.
3.
4.
5.
6.
7.
18
Provision of payment for the attainment of well- defined results Transfer of money or material goods conditional
predetermined performance target (CGD, 2009) Donor Central government Local government Private insurer
Service providers Facilities / NGOs Central government Local governments
RBF takes many forms…
Payers Payees
19
Effects on non-contracted
Impact on equity of
Impact on out-of-pocket
20
21
22
Impact on proportion of institutional deliveries
36.3 49.7 34.9 55.6
30.0 40.0 50.0 60.0 Baseline (2006) Follow up (2008) Proportion of of institutional deliveries
Control facilities Treatment (PBF facilities)
7.3 % increase due to PBF
23
Impact on quality of prenatal care
0.15
0.00 0.05 0.10 0.15 0.20 Baseline (2006) Follow up (2008) Standardized Prenatal effort score
Control facilities Treatment (PBF facilities)
15 % Standard deviation increase due to PBF
24
No effect on the number of prenatal care visits or on
Greatest effect on services that had the highest
Financial performance incentives can improve both use
An equal amount of financial resources without the
25
Lundberg, Marek and Pariyo (2007) Contracting for Primary Health Care in Uganda
Three arms: (1) performance bonus, (2) freedom to
Performance bonus based on meeting targets (pre-
Results after 18 months:
bonus facilities perform the same as or worse
freedom-to-allocate facilities perform
26 P4P experiment in Uganda
This performance bonus didn’t work.
Amounts not large enough? Scheme too complicated? Not enough time? (some evidence of learning
Facilities may allocate budgets more effectively than
1.
2.
3.
4.
5.
6.
7.
27
Supply side policies (classrooms, textbooks,
Demand side policies (CCTs?) Child endowments/readiness to learn -- ECD,
Accountability reforms: Change the
28
29
30
How do we transform this teacher…. …into this teacher?
31
32
33
Those at the local level have more or better
Key decisions about school personnel Key decisions about spending Changes in the educational process Resource mobilization Changes in the school climate
34
Grants + training to Parent Associations (PA). AGEs increase school autonomy through improved
Effects on: School failure, repetition, drop out Use phasing in of program for evaluation
35 Gertler P. et al, 2007. “Empowering Parents to Improve Education: Evidence from Rural Mexico”
36 Gertler P. et al, 2007. “Empowering Parents to Improve Education: Evidence from Rural Mexico”
37 Gertler P. et al, 2007. “Empowering Parents to Improve Education: Evidence from Rural Mexico”
38
39
Empower parents and communities vis a vis local &
– Increased importance of education in the political sphere – Increased attention to results valued by parents Enable better technocratic decision-making
Under “strong accountability” systems: – Threat of sanction will spur increased teaching effort When there is school choice: – “Market-pressure” for performance
40
Source: Reinikka and Svensson (2001), Reinikka and Svensson (2003a)
IMPACT ON LEAKAGE: A school close to a newspaper
percentage points less leakage compared to a school one standard-deviation (30 km) further away from a newspaper
IMPACT ON LEARNING: A one standard deviation reduction (30 km) in distance lead to a 0.09 standard deviation increase in average test scores.
41
42
Village-level education committees (VECs), representing parents
Presumption that information campaigns are needed to
Two sets of experiments PRATHAM --Banerjee et al. (2008) “Pitfalls of participatory
programs: Evidence from a Randomized Evaluation in Education in India”
Three states in India –WB + Nike Foundation --Pandey et al. (2008)
Community Participation in Public Schools: Impact of Information Campaigns in three Indian States.
(Banerjee et al.)
43
Program:
Advocacy and information about VECs =(1); (1)+teaching how “learning reports cards” are done=(2); (2)+ Teaching: Capacity Building to Directly Improve Learning (reading
classes)=( 3)
Information campaigns ((1) and (2)) had no effect on
Trained teaching volunteers (3) did have a significant
REGION Teacher Attendance Teacher Activity % Received Uniform Participation rate of parents in school inspections Scholarships Students received Improvement in Reading UP
11 %
Unchanged
18 %
(girls)
.11 33 %
(general caste)
27 %
(Grade 3)
MP
Unchanged
30% 14 %
(general caste)
.02 26 %
(SC/ SC)
14 %
(Grade 3)
Karnataka
Unchanged Unchanged N/A Unchanged N/A
15 %
(Grade 4)
Pandey, Priyanka et al. Community Participation in Public Schools: Impact of Information Campaigns in three Indian States. South Asia Human
44
44
45
46
Accreditation and merit-based incentives lead to
Decentralized hiring and monitoring of teacher
Career advancement incentives stimulate sustained
Pay-for-performance incentivizes improved quality
47
Three policies
Group and individual pay incentives based on average
Block grants to schools (extra teachers, more inputs) Assessments conducted by an independent NGO
Results (two rounds)
Incentives increase student performance by 0.22 SD 1st year both incentives work well. 2nd year individual
Additional inputs improve scores only by 0.08 SD Teachers liked the program
1.
2.
3.
4.
5.
6.
7.
48
49
50