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2. The Impact of Gavi on Vaccination Rates: Regression Discontinuity Evidence
- Author:
- Amanda Glassman, Charles Kenny, Justin Sandefur, and Sarah Dykstra
- Publication Date:
- 02-2015
- Content Type:
- Working Paper
- Institution:
- Center for Global Development
- Abstract:
- Since 2001, an aid consortium known as Gavi has accounted for over half of vaccination expenditure in the 75 eligible countries with an initial per capita GNI below $1,000. Regression discontinuity (RD) estimates show aid significantly displaced other immunization efforts and failed to increase vaccination rates for diseases covered by cheap, existing vaccines. For some newer and more expensive vaccines, i.e., Hib and rotavirus, we found large effects on vaccination and limited fungibility, though statistical significance is not robust. These RD estimates apply to middle-income countries near Gavi's eligibility threshold, and cannot rule out differential effects for the poorest countries.
3. Refocusing Gavi for Greater Impact
- Author:
- Amanda Glassman, Charles Kenny, Justin Sandefur, and Sarah Dykstra
- Publication Date:
- 02-2015
- Content Type:
- Policy Brief
- Institution:
- Center for Global Development
- Abstract:
- Gavi, the Vaccine Alliance, pools donor funds to increase immunization rates in developing countries. Vaccines have saved millions of lives. Results from new research at the Center for Global Development suggest Gavi could save more lives by shifting support away from lower-cost vaccines provided to middle-income countries toward more underused vaccines and support to the poorest countries.
4. The Political Economy of Bad Data: Evidence from African Survey Administrative Statistics
- Author:
- Amanda Glassman and Justin Sandefur
- Publication Date:
- 07-2014
- Content Type:
- Working Paper
- Institution:
- Center for Global Development
- Abstract:
- Across multiple African countries, discrepancies between administrative data and independent household surveys suggest official statistics systematically exaggerate development progress. We provide evidence for two distinct explanations of these discrepancies. First, governments misreport to foreign donors, as in the case of a results-based aid program rewarding reported vaccination rates. Second, national governments are themselves misled by frontline service providers, as in the case of primary education, where official enrollment numbers diverged from survey estimates after funding shifted from user fees to per pupil government grants. Both syndromes highlight the need for incentive compatibility between data systems and funding rules.
- Topic:
- Development, Foreign Aid, Foreign Direct Investment, Governance, and Developing World
- Political Geography:
- Africa
5. Costing a Data Revolution
- Author:
- Gabriel Demombynes and Justin Sandefur
- Publication Date:
- 10-2014
- Content Type:
- Working Paper
- Institution:
- Center for Global Development
- Abstract:
- The lack of reliable development statistics for many poor countries has led the U.N. to call for a “data revolution” (United Nations, 2013). One fairly narrow but widespread interpretation of this revolution is for international aid donors to fund a coordinated wave of household surveys across the developing world, tracking progress on a new round of post-2015 Sustainable Development Goals. We use data from the International Household Survey Network (IHSN) to show (i) the supply of household surveys has accelerated dramatically over the past 30 years and that (ii) demand for survey data appears to be higher in democracies and more aid-dependent countries. We also show that given existing international survey programs, the cost to international aid donors of filling remaining survey gaps is manageable--on the order of $300 million per year. We argue that any aid-financed expansion of household surveys should be complemented with (a) increased access to data through open data protocols, and (b) simultaneous support for the broader statistical system, including routine administrative data systems.
- Topic:
- Development, Human Welfare, and Infrastructure
- Political Geography:
- Asia and United Nations
6. Why Did Abolishing Fees Not Increase Public School Enrollment in Kenya?
- Author:
- Tessa Bold, Mwangi Kimenyi, Germano Mwabu, and Justin Sandefur
- Publication Date:
- 10-2011
- Content Type:
- Working Paper
- Institution:
- Center for Global Development
- Abstract:
- A large empirical literature has shown that user fees signicantly deter public service utilization in developing countries. While most of these results reflect partial equilibrium analysis, we find that the nationwide abolition of public school fees in Kenya in 2003 led to no increase in net public enrollment rates, but rather a dramatic shift toward private schooling. Results suggest this divergence between partial- and general-equilibrium effects is partially explained by social interactions: the entry of poorer pupils into free education contributed to the exit of their more affluent peers.
- Topic:
- Education, Government, and Poverty
- Political Geography:
- Kenya and Africa
7. The High Return to Private Schooling in a Low-Income Country
- Author:
- Tessa Bold, Mwangi Kimenyi, Germano Mwabu, and Justin Sandefur
- Publication Date:
- 12-2011
- Content Type:
- Working Paper
- Institution:
- Center for Global Development
- Abstract:
- Existing studies from the United States, Latin America, and Asia provide scant evidence that private schools dramatically improve academic performance relative to public schools. Using data from Kenya—a poor country with weak public institutions—we find a large effect of private schooling on test scores, equivalent to one full standard deviation. This finding is robust to endogenous sorting of more able pupils into private schools. The magnitude of the effect dwarfs the impact of any rigorously tested intervention to raise performance within public schools. Furthermore, nearly two thirds of private schools operate at lower cost than the median government school.
- Topic:
- Development, Education, Government, and Poverty
- Political Geography:
- Kenya, United States, Asia, and Latin America