Free primary education in Kenya: An impact evaluation using propensity score methods

Child Welfare in Developing Countries

Volumn , Issue , 2010, Pages 125-155

  Muyanga, Milu ^a   Olwande, John ^a   Mueni, Esther ^b   Wambugu, Stella ^a  

^a EGERTON UNIVERSITY   (Kenya)

^b UNIVERSITY OF NAIROBI   (Kenya)

Author keywords

Benefit incidence analysis; Kenya; Primary education; Programme evaluation; Propensity score

Indexed keywords

EID: 84889959930     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-1-4419-6275-1_5     Document Type: Chapter

References (59)

1. Aaron, H., and M.C. McGuire. 1970. Public goods and income distribution. Econometrica 38(6):907-920.
2. Abadie, A., and G.W. Imbens. 2006. Large sample properties of matching estimators for average treatment effects. Econometrica 74(1):235-267.
3. Agodini, R., andM. Dynarski. 2001. Are experiments the only option? A look at dropout prevention programs. Princeton, NJ: Mathematical Policy Research Inc.
4. Avenstrup, R., X. Liang, and S. Nellemann. 2004. Reducing poverty, sustaining growth. What works, what doesn't, and why? Case study of Kenya, Lesotho, Malawi and Uganda: Universal primary education and poverty reduction. A global learning process and conference, Shanghai, May 25.27, 2004.
5. Bryson, A., R. Dorsett, and S. Purdon. 2002. The use of propensity score matching in the evaluation of active labour market policies. Policy Studies Institute and National Centre for Social Research. Working Paper No. 4, United Kingdom.
6. Bedi, A., P. Kimalu, D.K. Manda, and N. Nafula. 2002. The decline in primary school enrolment in Kenya. Kenya Institute of Public Policy and Analysis (KIPPRA) Discussion Paper No. 14, Nairobi: KIPPRA.
7. Boccanfuso, D. 2005. Quasi-experimental methods: Propensity score matching (PSM). Presentation during the Workshop on the Assessment of the Poverty Impact of Public Programs.
8. Castro-Leal, F., J. Dayton, and L. Demery. 1997. Public social spending in Africa: Do the poor benefit? Washington, DC (mimeo): Poverty and Social Policy Department, The World Bank.
9. Center for Public Policy Priorities. 1999. Measuring up: The state of Texas education. February 26, 1999 No. 74 (http://www.cppp.org/products/ policypages).
10. Cross, T.G., and G.F. Lewis. 1998. Early manifestations of the impact of poverty on education: The expectant parents' hopes and fears. Centre for Child Development Institute of Early Childhood, Macquarie University. Paper presented at the Australian Association for Research in Education Annual Conference, University of Adelaide, November 29-December 3, 1998.
11. D'Agostino, R.B. 1998. Propensity score methods for bias reduction in the comparison of a treatment to a non-randomized control group. Statistics in Medicine 17:2265-2281.
12. Dehijia, R., and S. Wahba. 1999. Causal effects in nonexperimental studies: Re-evaluating the evaluation of training programs. Journal of American Statistical Association 94(448): 1053-1062.
13. Dehijia, R., and S. Wahba. 2002. Propensity score matching for non-experimental causal studies. The Review of Economics and Statistics 84(1):151-161.
14. Demery, L. 2000. Benefit incidence: A practitioner's guide. Washington, DC: The World Bank.
15. Demery, L. 1997. Benefit incidence analysis. Poverty reduction and economic management network, poverty anchor. Washington, DC: The World Bank.
16. Esquivel, G., and H. Alejandra. 2006. Remittances and poverty in Mexico: A propensity score matching approach. A paper written under the auspices of Inter-American Development Bank (IADB).
17. Friedlander, D., and P.K. Robins. 1995. Evaluating program evaluations: New evidence on commonly used nonexperimental methods. The American Economic Review 85(4):923-937.
18. Glewwe, P., and H. Jacoby. 1994. Student achievement and schooling choice in low-income countries: Evidence from Ghana. Journal of Human Resources 29(3):842-864.
19. Heckman, J., H. Ichimura, and P. Todd. 1997. Matching as an econometric evaluation estimator: Evidence from evaluating a job training program. Review of Economic Studies 64(4):605-664.
20. Heckman, J., H. Ichimura, J. Smith, and P. Todd. 1998. Characterizing selection bias using experimental data. Econometrica 66(5):1017-1098.
21. Holyfield, L. 2002. Moving up and out: Poverty, education, and the single parent family. Philadelphia, PA: Temple University Press.
22. Jalan, J., and E. Glinskaya. 2005. Improving primary school education in India: An impact assessment of DPEP I. Washington, DC: World Bank (Mimeo).
23. Jalan, J., and M. Ravallion. 2000. Estimating the benefit incidence of an antipoverty program by propensity score matching. Econometric Society World Congress 2000 Contributed Papers 0873, Econometric Society.
24. Kimalu, P., N. Nafula, D. Kulundu, A. Bedi, G. Mwabu, and M.S. Kimenyi. 2001. Education Indicators in Kenya. Kenya Institute of Public Policy and Analysis (KIPPRA) Working Paper Series WP/04/2001, Nairobi: KIPPRA.
25. LaLonde, R. 1986. Evaluating the econometric evaluations of training programs with experimental data. American Economic Review 76(4):604-620.
26. Leuven, E., and B. Sianesi. 2003. PSMATCH2: Stata module to perform full Mahalanobis and propensity score matching, common support graphing, and covariate imbalance testing. http://ideas.repec.org/c/boc/bocode/s432001.html.
27. Lee,W.-S. 2006. Evaluating the effects of a mandatory government program using matched groups within a similar geographic location. Melbourne Institute of Applied Economic and Social Research, the University of Melbourne.
28. Manasan, R.G., J.S. Cuenca, and E.C. Villanueva. 2007. Benefit incidence of public spending on education in the Philippines. Philippine Institute for Development Studies Discussion Paper Series No. 2007-09.
29. Michalopoulos, C., H.S. Bloom, and C.J. Hill. 2004. Can propensity-score methods match the findings from a random assignment evaluation of mandatory welfare-to-work programs? The Review of Economics and Statistics 86(1):156-179.
30. Moore, K. 2004. Chronic, life-course and intergenerational poverty, and South-East Asian youth. 15 November 2004.
31. Newman, J., M. Pradhan, L.B. Rawlings, G. Ridder, R. Coa, and J.L. Evia. 2002. An impact evaluation of education, health, and water supply investments by the Bolivian Social Investment Fund. The World Bank Economic Review 16:241-274.
32. Papke, L.E., and J. Wooldridge. 1996. Econometric methods for fractional response variables with an application to 401(k) plan participation rates. Journal of Applied Econometrics 11: 619-632.
33. Raymond, M., and E. Sadoulet. 2003. Educational grants closing the gap in schooling attainment between poor and non-poor. Department of Agricultural and Resource Economics, UC Berkeley, Working Paper Series 986.
34. Republic of Kenya. 1965. The Sessional Paper No. 10 of 1965 on African Socialism and its Application to Planning in Kenya. Government Printer, Nairobi.
35. Republic of Kenya. 1988. Economic survey. Kenya National Bureau of Statistics, Government Printer, Nairobi.
36. Republic of Kenya. 1991. Economic survey. Kenya National Bureau of Statistics, Government Printer, Nairobi.
37. Republic of Kenya. 2001. Poverty reduction strategy paper (PRSP) for the period 2001-2004. Prepared by the People and Government of Kenya, Government Printer, Nairobi.
38. Republic of Kenya. 2004. Economic recovery strategy for wealth and employment creation. Published by Ministry of Planning and National Development, Government Printer, Nairobi.
39. Republic of Kenya. 2003a. Economic survey. Economic Survey. Kenya National Bureau of Statistics, Government Printer, Nairobi
40. Republic of Kenya. 2003b. Public Expenditure Review, Published by Ministry of Planning and National Development, Government Printer, Nairobi.
41. Republic of Kenya. 2006. Education sector report. Unpublished Report by the Ministry of Education, Science and Technology.
42. Republic of Kenya. 2007. Economic survey. Kenya National Bureau of Statistics, Government Printer, Nairobi.
43. Rosenbaum, P., and D. Rubin. 1983. The central role of the propensity score in observational studies for causal effects. c 70:41-55.
44. Rubin, D. 1974. Estimating causal effects of treatments in randomized and nonrandomized studies. Journal of Educational Psychology 66:688-701.
45. Schmidt, D. 2006. The impact of free primary education on enrolment in Kenya. A monograph in partial fulfilment of the requirements for the degree of Master of Arts at Stanford University, School of Education.
46. Selden, T., and M. Wasylenko. 1992. Benefit incidence analysis in developing countries. Policy Research Working Paper 1015. World Bank, Washington, DC.
47. Shapiro, J., and M.-T. Jorge Omar. 2004. Compensatory education for disadvantaged Mexican students: An impact evaluation using propensity score matching (June 2, 2004). World Bank Policy Research Working Paper No. 3334. Available at SSRN: http://ssrn.com/abstract=610378.
48. Smith, J., and P. Todd. 2005. Does matching overcome Lalonde's critique of nonexperimental estimators? Journal of Econometrics 125:305-353, 365-375.
49. Trevino, M.J., and J. Shapiro. 2004. Compensatory education for disadvantaged Mexican students: An impact evaluation using propensity score matching. World Bank Policy Research Working Paper 3334.
50. UNESCO. 1990. World conference on education for all: Meeting basic learning needs. Report on the Jomtien Conference, 5-9 March 1990. Available at http://www.unesco.org/education/pdf/JOMTIE-E.PDF.
51. UNESCO. 2005. Challenges of implementing free primary education in Kenya: Assessment report. UNESCO, Nairobi Office.
52. UNESCO Institute for Statistics. 2009. Education indicators technical guidelines. http://www.uis. unesco.org/template/pdf/EducGeneral/Indicator- Technical-guidelines-EN.pdf
53. van de Walle, D. 2003. Behavioral incidence analysis of public spending and social programmes. In The impact of economic policies on poverty and income distribution: evaluation techniques and tools, eds. F. Bourguignon and L.P. da Silva. Washington, DC: World Bank and Oxford University Press.
54. van deWalle, D., and K. Nead. 1995. Public spending and the poor. Baltimore, MD: Johns Hopkins University Press.
55. Vos, R., A. Bedi, P.K. Kimalu, D.K. Manda, N.N. Nafula, and M.S. Kimenyi. 2004. Achieving universal primary education: Can Kenya afford it? Working Papers 2004-47, University of Connecticut, Department of Economics.
56. Voth, H.-J., S. Horell, and J. Humphries. 2000. Destined for deprivation? Intergenerational poverty traps in eighteenth-century Britain. Centre for History and Economics 00-03.
57. Wambugu, A. 2002. Family background, education and earnings in Kenya. Working Papers in Economics 76, Göteborg University, Department of Economics.
58. Wooldridge, J.M. 2002. Econometric analysis of cross section and panel data. London: MIT Press.
59. Zhao, Z. 2004. Using matching to estimate treatment effects: Data requirements, matching metrics, and Monte Carlo evidence. The Review of Economics and Statistics 86(1):91-107.