Publication: Delivering Education to the Underserved through a Public-Private Partnership Program in Pakistan
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2020-12-20
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2020-12-20
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Barrera-Osorio, Felipe
Blakeslee, David S.
Hoover, Matthew
Linden, Leigh
Ryan, Stephen P.
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Abstract
We evaluate a program that recruited local entrepreneurs to open and operate new schools in 200 underserved villages in Sindh, Pakistan. School operators received a per-student subsidy to provide tuition-free primary education, and in half the villages received a higher subsidy for females. The program increased enrollment by 32 percentage points, and test scores by 0.63 standard deviations, with no difference across the two subsidy schemes. Estimating a structural model of the demand and supply for school inputs, we find that program schools selected inputs similar to those of a social planner who internalizes all the education benefits to society.
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Publication Delivering Education to the Underserved through a Public-Private Partnership Program in Pakistan(World Bank, Washington, DC, 2017-08)This study experimentally evaluates the short-term impacts of public per-student subsidies to partnering local entrepreneurs to establish and operate tuition-free, coeducational, private primary schools in educationally underserved villages in Sindh province, Pakistan. Two subsidy structures were tested, one in which the subsidy amount did not differ by student gender, and the other in which the subsidy amount was higher for female students. The program administrator introduced the latter structure with the aim of correcting for the gender disparity in school enrollment in the general program setting. The program increased school enrollment by 30 percentage points in treated villages, for boys and girls. It increased test scores by 0.63 standard deviations in treated villages. The gender-differentiated subsidy structure did not have larger impacts on girls' enrollment or test scores than the gender-uniform one. Program schools proved more effective in raising test scores than government schools located near the villages, with program-school students scoring 0.16 standard deviations higher, despite coming from more socioeconomically disadvantaged backgrounds. Estimations of the demand for schooling and education production suggest nearly efficient choices on school inputs by the program administrator and partnering entrepreneurs.Publication Impact of Public-Private Partnerships on Private School Performance(World Bank, Washington, DC, 2016-12)This paper estimates the short-term, partial-equilibrium impacts of a public-private partnership program for low-cost private secondary schools in Uganda. The public-private partnership program is part of a broader strategy to absorb large increases in secondary enrollment following the introduction of universal secondary education. Under the program, the government offers a per-student subsidy to participating private schools. Program implementation allowed for a randomized phase-in study design to estimate the causal impacts of the program on private school performance. The study finds that the public-private partnership program helped absorb large numbers of eligible students in secondary schools. Student performance in participating private schools was significantly better than in nonparticipating private schools. The study finds that improved student performance is potentially linked to increased input availability, as well as positive selection of government aided students in private schools. Suggestive evidence indicates that this selection most likely occurs on the part of households rather than schools.Publication Improving the Design of Conditional Transfer Programs : Evidence from a Randomized Education Experiment in Colombia(2011)Using a student level randomization, we compare three education-based conditional cash transfers designs: a standard design, a design where part of the monthly transfers are postponed until children have to re-enroll in school, and a design that lowers the reward for attendance but incentivizes graduation and tertiary enrollment. The two nonstandard designs significantly increase enrollment rates at both the secondary and tertiary levels while delivering the same attendance gains as the standard design. Postponing some of the attendance transfers to the time of re-enrollment appears particularly effective for the most at-risk children.Publication Evaluating the Impact of Public Student Subsidies on Low-Cost Private Schools in Pakistan(Taylor and Francis, 2015-08-05)This paper examines the impacts of accountability-based public per-student subsidies provided to low-cost private schools in Punjab, Pakistan on student enrolment and school inputs. Programme entry is contingent on achieving a minimum pass rate on a specially-designed academic test. We use regression discontinuity to estimate impacts on schools that joined the programme in the last entry round (phase 4) before follow-up survey data collection. We find large positive impacts on school enrolment, number of teachers, and other inputs for programme schools near the minimum pass rate.Publication Evaluating Public Per-Student Subsidies to Low-Cost Private Schools : Regression-Discontinuity Evidence from Pakistan(2011-04-01)This study estimates the causal effects of a public per-student subsidy program targeted at low-cost private schools in Pakistan on student enrollment and schooling inputs. Program entry is ultimately conditional on achieving a minimum stipulated student pass rate (cutoff) in a standardized academic test. This mechanism for treatment assignment allows the application of regression-discontinuity (RD) methods to estimate program impacts at the cutoff. Data on two rounds of entry test takers (phase 3 and phase 4) are used. Modeling the entry process of phase-4 test takers as a sharp RD design, the authors find evidence of large positive impacts on the number of students, teachers, classrooms, and blackboards. Modeling the entry process of phase-3 test takers as a partially-fuzzy RD design given treatment crossovers, they do not find evidence of significant program impacts on outcomes of interest. The latter finding is likely due to weak identification arising from a small jump in the probability of treatment at the cutoff.
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