Artha Vijnana: Journal of The Gokhale Institute of Politics and Economics

Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Does Conditional Aid Promote Performance? A Regression Discontinuity Analysis of the Impact of GAVI Alliance on Immunisation in Developing Countries


Affiliations
1 Department of Econometrics, University of Madras, Chennai 600005, Tamil Nadu, India
     

   Subscribe/Renew Journal


The GAVI Alliance (Global Alliance for Vaccines and Immunisation) is an aid programme that supplies large quantities of free and highly subsidised vaccines to developing countries on an income eligibility criterion since 2001 to improve the vaccination coverage rates. This paper estimates the impact of six different GAVI funded vaccines (DPT, Hep B, Hib, Rota, Pneumo and Measles) on the immunisation rates in developing countries using parametric and non-parametric econometric methods for the years 2005 and 2013. The regression discontinuity design estimates for the older and cheaper vaccines show a statistically significant impact on vaccination rates in 2005, whereas by 2013, the coverage rates of these vaccines show no significant impact. For the newer and more expensive vaccines, the empirical results show significant impact estimates in 2013. The GAVI Alliance aid programme has consciously increased the immunisation rates among children in almost all the developing countries.
Subscription Login to verify subscription
User
Notifications
Font Size

  • Afridi, M.A. and B. Ventelou (2013), Impact of Health Aid in Developing Countries: The Public vs. the Private Channels, Economic Modelling, 31(C): 759-765.

  • Angrist, J.D., G.W. Imbens and D.B. Rubin (1996), Identification of Causal Effects Using Instrumental Variables, Journal of American Statistical Association, 91 (434): 444-472.

  • Bloom, H.S.(2009), Modern Regression Discontinuity Analysis, Manpower Demonstration Research Corporation.

  • Calonico, S., M.D. Cattaneo and R.Titiunik (2014), Robust Data-Driven Inference in the Regression-Discontinuity Design, The Stata Journal, 14(4): 909-946.

  • Dykstra, S., A. Glassman, C. Kenny and J. Sandefur (2015), The Impact of GAVI on Vaccination Rates: Regression Discontinuity Evidence, Working Paper No. 394, Washington, D.C.: Centre for Global Economic Development.

  • Ellen, M., J. Bor and T. Barnighausen (2014), Regression Discontinuity Designs are Underutilized in Medicine, Epidemiology, and Public Health: A Review of Current and Best Practice, Journal of Clinical Epidemiology, 68(2): 132-143.

  • Imbens, G.W. and K. Kalyanaraman (2012), Optimal Bandwidth Choice for the Regression Discontinuity Estimator, Review of Economic Studies, 79(3): 933-959.

  • Imbens, G.W. and T. Lemieux (2008), Regression Discontinuity Designs: A Guide to Practice, Journal of Econometrics, 142(2): 615-635.

  • Lee, D.S. and T. Lemieux (2010), Regression Discontinuity Designs in Economics, Journal of Economic Literature, 48(2): 281-355.

  • Lim, S.S., D.B. Stein, A. Charrow and C.J. Murray (2008), Tracking Progress Towards Universal Childhood Immunisation and the Impact of Global Initiatives: A Systematic Analysis of Three-Dose Diphtheria, Tetanus, and Pertussis Immunisation Coverage, Lancet, 372(9655): 2031-2046.

  • Lu, C., C.M. Michaud, E. Gakidou, K. Khan and C.J. Murray (2006), Effect of the Global Alliance for Vaccines and Immunisation on Diphtheria, Tetanus, and pertussis Vaccine Coverage: An Independent Assessment, Lancet, 368(9541): 1088-1095.

  • Nichols, A. (2007), Causal Inference with Observational Data, The Stata Journal, 14(4): 909-946.

  • Qian, N. (2015), Making Progress on Foreign Aid, Annual Review Economics, 7(4): 507-541.

  • Rajan, R.G. and A. Subramanian (2008), Aid and Growth: What Does the Cross-Country Evidence Really Show?,Review of Economics and Statistics, 90(4): 643-665.

  • Robin, J., P. Zhu, M.A. Somers and H. Bloom (2012), A Practical Guide to Regression Discontinuity, Manpower Demonstration Research Corporation (MDRC).

  • Sebastian, C., M.D. Cattaneo and R. Titiunik (2014), Robust Data-Driven Inference in the Regression-Discontinuity Design, The Stata Journal, 14(4): 909-946.

  • Shahidur, R.K., G.B. Koolwal and H.A. Samad (2009), Handbook on Impact Evaluation: Quantitative Methods and Practices, Washington, D.C.: World Bank.

  • Williamson, C.R. (2008), Foreign Aid and Human Development: The Impact of Foreign Aid to the Health Sector, Southern Economic Journal, 75(1): 188-207.


Abstract Views: 581

PDF Views: 1




  • Does Conditional Aid Promote Performance? A Regression Discontinuity Analysis of the Impact of GAVI Alliance on Immunisation in Developing Countries

Abstract Views: 581  |  PDF Views: 1

Authors

T. Lakshmanasamy
Department of Econometrics, University of Madras, Chennai 600005, Tamil Nadu, India

Abstract


The GAVI Alliance (Global Alliance for Vaccines and Immunisation) is an aid programme that supplies large quantities of free and highly subsidised vaccines to developing countries on an income eligibility criterion since 2001 to improve the vaccination coverage rates. This paper estimates the impact of six different GAVI funded vaccines (DPT, Hep B, Hib, Rota, Pneumo and Measles) on the immunisation rates in developing countries using parametric and non-parametric econometric methods for the years 2005 and 2013. The regression discontinuity design estimates for the older and cheaper vaccines show a statistically significant impact on vaccination rates in 2005, whereas by 2013, the coverage rates of these vaccines show no significant impact. For the newer and more expensive vaccines, the empirical results show significant impact estimates in 2013. The GAVI Alliance aid programme has consciously increased the immunisation rates among children in almost all the developing countries.

References





DOI: https://doi.org/10.21648/arthavij%2F2016%2Fv58%2Fi1%2F121272