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Published byTerence Lloyd Modified over 9 years ago
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Secondary School Bursaries Kenya impact Evaluation Team AFRICA IMPACT EVALUATION INITIATIVE, AFTRL Africa Program for Education Impact Evaluation
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Questions Can secondary school bursaries improve secondary school attendance? What is the level of subsidy that is needed? How to effectively target students? Long term question: What is the impact of secondary school on later life outcomes (labor market; health, etc..)
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Intervention Secondary school bursary partial or full Continued for 4 years of secondary school conditional on satisfactory behavior and minimum standard Bursary subsidy is a fraction of the district day school total cost (minus the tuition subsidy already in existence) Needs based: –School community does a ranking of students in standard 8 in primary school –Poverty map is used to determine the number of scholarships available to a school Merit based: –Need admission in a secondary school; based on KCPE results
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Indicators Process: –How many bursaries were given? Short term impact: –Enrollment –Attendance –Drop out (Retention) Targetting: –How does this differ by gender? –How do the attendance rate differ by PRA wealth ranking Long term impact: –Labor market outcomes –Health outcomes –Social integration –Etc….
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Evaluation Design Randomization at the school level All schools in the sample complete the needs assessment Schools are allocated to one of three groups: –Comparison( today’s system: Ks 3,600 tuition reduction + existing mainstream system) –Partial fellowship: 50% of day school fee minus tuition reduction –Full fellowship: 100% of day school subsidy minus tuition reduction
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Sample and Data A small number of regions will be identified (3 max)-Possibilities: –Nairobi slums (urban) –Northeastern rural (outlying) –Western rural (rest of Kenya) Within each region it will be narrowed down to schools in poor areas.
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Sample size calculation Assumptions –We are surveying the poorest children who have qualified for secondary school –Assume 25% of the poor children attend w/o scholarship (to be verified) –With full scholarship 90% will attend; with partial 60% will attend Results –So the effect of full scholarship on attendance is 90% minus 25%=65%; partial is 35%. Average effect is 50% –So if education increases income by 0.20 of standard deviation, effect size of the program is 0.20*65%=0.10 –Assume on average 6 students per school (about 20% of a class of 30) –We need 650 schools total: control 216, partial 216, full 216 –Total: 216*6*0.90=1166 full scholarships –216*6*0.65=842 partial scholarships
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Staffing Plan
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Timeline Cohort 1: –June/July 2007 Pilot Survey –June/July 2007: Selection of pilot primary schools (public or community schools both included) –September 2007: Secondary school forms +sensitization –October 2007 Community wealth ranking –November 2007 KCPE –December 2007: Baseline survey –January 2008: Secondary school admission –Randomization of schools in Full/partial/ control groups –Late January/ early February 2008: Bursary award announcement –February 2008 : entry in form 1
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Timeline Cohort 2: –September 2008: Secondary school forms –October 2008 Community wealth ranking –November 2008 KCPE –December 2008: Baseline survey –January 2009: Secondary school survey –Late January/ early February 2009: Bursary award announcement –February 2009 entry in form 1
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Timeline Process Follow up surveys: –Once a year starting 2008: enrollment status (perhaps done in former primary school) March- May of each year. –3 times a year starting : Spot checks in secondary school to check attendance –Endline surveys with many outcomes (labor market+health etc…) 2010-2011 2013-2014 2016-2017….
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Budget
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