4_school meal programs – an impact assessment (f. afridi)

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Farzana Afridi Indian Statistical Institute, Economics Department, Delhi ADB, Manila (July 11-12, 2012) School meal programs An impact assessment

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Conference on Impact Evaluation: Methods, Practices, and LessonsAuditorium A, ADB Headquarters, Manila 11 July 2012

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Page 1: 4_School Meal Programs – An Impact Assessment (F. Afridi)

Farzana Afridi

Indian Statistical Institute, Economics Department, Delhi

ADB, Manila (July 11-12, 2012)

School meal programs – An impact

assessment

Page 2: 4_School Meal Programs – An Impact Assessment (F. Afridi)

School meal program in India

Every public primary school mandated to implement program in 1995.

All enrolled children provided with a free meal, cooked out of 100 grams of wheat or rice grains on each school day on school premises.

Those unable to due to financial constraints, distributed free grain rations (rural areas) per month subject to a minimum monthly attendance of 80% per student or served ready to eat meals (viz. Delhi) on each school day on school premises.

Nation-wide transition to cooked meals completed in 2003.

Largest school feeding program in the world in terms of number of potential beneficiaries.

Page 3: 4_School Meal Programs – An Impact Assessment (F. Afridi)

Research questions 1. Impact of cooked meals on

short-term nutrition (daily food consumption)

“Child Welfare Programs and Child Nutrition: Evidence from a Mandated School Meal Program.” Journal of Development Economics, 92(2):152-165, July 2010

student partcipation in school (enrollment and

attendance) “The Impact of School Meals on School Participation in Rural India.” Journal of Development Studies, 47(11): 1636-1656, November 2011

2. Impact of the design of program on student participation in school

“The role of design in school subsidy programs: Evidence from mid day meals in India” (with Bidisha Barooah and Rohini Somanathan)

Page 4: 4_School Meal Programs – An Impact Assessment (F. Afridi)

1. Impact on short-term nutrition -

Identification of Program Impact

Randomly chosen date of village interview yielded primary school age children in some villages recalling their previous day’s food intake for a school day while in other villages the previous day was a non-school day.

Sub sample of these children revisited to obtain their food consumption data on both school and non-school days.

Page 5: 4_School Meal Programs – An Impact Assessment (F. Afridi)

total daily intake of nutrient i by child j in village k

school attendance on reference day

nutrient intake from a school meal

sum of school meal transfer of nutrient i to siblings s in the primary school age group

1. Impact on short-term nutrition -Methodology

A

jD

0 1 2 3 4

1

NT A M M

ijk j ijk iks j k ijk

s

C D C C

η

T

ijkC

M

ijkC

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Page 6: 4_School Meal Programs – An Impact Assessment (F. Afridi)

Instrumental Variables Analysis Instruments for: - whether the reference day was school day - average consumption of nutrients in a school on

the last school day x reference day was school day

Methodology (cont’d.)

A

jD

T

ijkC

Page 7: 4_School Meal Programs – An Impact Assessment (F. Afridi)

Impact of School Meal Program on Total Daily Nutrient Intake: Cross-

sectional Analysis

1. Impact on short-term nutrition - Results

(1)IV: School day and Average nutrient consumed in school x attendance on reference day

(2)IV: School day and School meal offer x dummy for school day

(3)IV: School day and Month of interview x dummy for school day

Note: Robust standard errors in parentheses. * Significant at 10 per cent, ** 5 per cent and ***1 per cent

Specification Coefficient on Quantity of Nutrient Intake from School Meal

Calories Carbohydrates Protein Calcium Iron N

(1) 2SLS 0.49***

(0.163)

0.52***

(0.154)

0.58***

(0.157)

0.69

(0.445)

0.96***

(0.232)

901

(2) 2SLS 0.70**

(0.272)

0.73***

(0.260)

0.81***

(0.279)

0.55

(0.648)

1.15***

(0.324)

898

(3) 2SLS 0.66**

(0.269)

0.75***

(0.251)

0.75***

(0.271)

0.25

(0.603)

0.77*

(0.386)

901

Page 8: 4_School Meal Programs – An Impact Assessment (F. Afridi)

Impact of School Meal Program on Total Daily Nutrient Intake: Community Fixed Effects

Specification Coefficient on Quantity of Nutrient Intake from School Meal

Calories Carbohydrates Protein Calcium Iron N

(4) 2SLS-FE 0.86**

(0.336)

1.01***

(0.299)

0.61*

(0.304)

-2.74

(1.663)

-0.58

(0.536)

243

(5) 2SLS-FE 1.12**

(0.470)

1.24**

(0.425)

1.09*

(0.528)

-3.45

(2.638)

0.84

(0.535)

243

Results (cont’d.)

community dummies (11 villages within 5 communities)

(4) school day and Average nutrient consumed in school x dummy for school day

(5) school day and School meal offer x dummy for school day

Note: Robust standard errors in parentheses. * Significant at 10 per cent, ** 5 per cent and ***1 per cent

Page 9: 4_School Meal Programs – An Impact Assessment (F. Afridi)

Specification Coefficient on Quantity of Nutrient Intake from School Meal

Calories Carbohydrates Protein Calcium Iron N

(6) OLS-FE 0.76*

(0.404)

0.66

(0.399)

0.62

(0.443)

0.15

(0.671)

0.43

(0.342)

546

Results (cont’d.)

Impact of School Meal Program on Total Daily Nutrient Intake: Individual

Fixed Effects

Note: Robust standard errors in parentheses. * Significant at 10 per cent, ** 5 per cent and ***1 per cent

Page 10: 4_School Meal Programs – An Impact Assessment (F. Afridi)

2. Impact on school participation – Identification of program impact

Transition to cooked meals (from foodgrain distribution) began in July 2003 in the rural survey area

Some schools transitioned in July, 2003

Remaining schools transitioned between July and December 2003

Page 11: 4_School Meal Programs – An Impact Assessment (F. Afridi)

D1 = Average participation in December – Average participation in July

in schools whose participation status changed between July and December

D2 = Average participation in December – Average participation in July

in schools whose participation status did NOT change between July and December

Difference-in-differences= D1 – D2

2. Impact on school participation –

Methodology

Page 12: 4_School Meal Programs – An Impact Assessment (F. Afridi)

2. Impact on school participation – Results

Note: Includes controls for baseline school characteristics interacted with December dummy. Standard errors corrected for clustering on the school reported in parentheses. Missing data for no girl enrollment in grade five. * Significant at 10 per cent, ** 5 per cent and ***1 per cent

Page 13: 4_School Meal Programs – An Impact Assessment (F. Afridi)

3. Impact of Program Design - Program background

Nearly 80% of all public primary schools in Delhi are run by the Municipal Corporation of Delhi (MCD), accounting for almost 85% of all public primary school enrollments in the city.

Prior to 2002-03, ready-to-eat snacks was served in MCD schools such as biscuits, roasted grams, wheat puffs and fruity bread (but mostly biscuits).

Provision of cooked meals started in July 2003.

Phased implementation of cooked meal scheme

Phase 1: between July and August 2003

Phase 2: between September and November 2003

In Phase 1, local service providers were selected on the basis of availability of infrastructure and distance from schools.

In 2004-05 quality of cooked meals improved by weeding out sub-standard service providers.

Page 14: 4_School Meal Programs – An Impact Assessment (F. Afridi)

3. Impact of Program Design – Program background: Costs

Providers re-imbursed at the rate of Rs. 2 per child by Municipal Corporation of Delhi (MCD) under both cooked and ready to eat program.

The raw foodgrains (or foodgrain content of ready to eat items) and transport costs related to foodgrain procurement were fully subsidized by the federal government under both programs.

Schools were mandated to provide atleast 300 kcal per child per day (or 100 grams of raw wheat) in cooked meals and approximatey 265 kcal (or 75.6 grams of raw wheat) in the regime of packaged foods.

10 paise or less than 5% difference in per day per child costs. Annual costs per child are comparable if regularity of both programs is similar.

Page 15: 4_School Meal Programs – An Impact Assessment (F. Afridi)

3. Impact of Program Design – Methodology

Use the staggered implementation of cooked meals.

Almost 50% of the sampled schools implemented cooked

meals program before September 2003 and the other

half, after September 2003.

Treatment group: schools which transitioned before

September 2003 (in July or August 2003) .

Control group: schools which transitioned after

September 2003 (in October or November 2003).

Page 16: 4_School Meal Programs – An Impact Assessment (F. Afridi)

3. Impact of Program Design – Estimation strategy

Aicjmt = α + β0 Cookedjmt + β1Tt + β2 Xm + β3 µict + δi + εicjmt

A icjmt : total number of classes attended by student i in grade c in school j in month m and academic year t divided by the total number of classes that the student could have potentially attended in school j at m, t

Cookedjmt : 0 for all m,t before j transitioned to cooked meals and 1 for all m, t after the cooked meals were initiated

Tmt : 1 if observation is recorded for months in 2003-04 academic year

Xm : 1 if observation is recorded for the month of February, 0 for September

µict : student i’s grade c in academic year t

δi : unobservable, time-invariant individual characteristics

Page 17: 4_School Meal Programs – An Impact Assessment (F. Afridi)

3. Impact of Program Design - Results

Page 18: 4_School Meal Programs – An Impact Assessment (F. Afridi)

3. Impact of Program Design - Results

Page 19: 4_School Meal Programs – An Impact Assessment (F. Afridi)

3. Impact of Program Design - Results

Page 20: 4_School Meal Programs – An Impact Assessment (F. Afridi)

3. Impact of Program Design - Results

Page 21: 4_School Meal Programs – An Impact Assessment (F. Afridi)

Conclusions

On-site school meal program can be more effective in improving nutritional intakes and daily participation rates of intended beneficiaries than an off-site program. Distribution of foodgrains allowed for sharing of the transfer

among family members; on-site cooked meals program was better targeted, potentially reducing leakage of benefits to non-enrolled children and adults in household

Change in program design itself can lead to significant improvement in average outcomes

Food grain distribution was designed to be conditional on a minimum monthly attendance rate of a student but such conditionalities are rarely imposed by public schools. Transitioning to a program that by design required regular attendance to receive program benefits automatically induced an attendance conditionality

Less portability (2002-03), better taste and more variety of meals (2004-05) increased program benefits within limited budget

Page 22: 4_School Meal Programs – An Impact Assessment (F. Afridi)

Conclusions

Need to build in rigorous impact evaluation into program design.

Non-randomized program implementation requires innovative approaches to estimate program impact.

Natural experiments

Instrumental variables

Data constraints