Impact Evaluation of Indonesia Conditional Cash Transfer Program (BSM) on Student Achievement

[1] Almunawaroh, D.F. 2016. Dampak Kebijakan Program Keluarga Harapan terhadap Konsumsi Rumah Tangga Indonesia Tahun 2014. Tesis, Fakultas Ekonomika dan Bisnis, Universitas Gadjah Mada, Yogyakarta. Search in Google Scholar

[2] Abadie, A., & Imbens, G. W. (2006). Large sample properties of matching estimators for average treatment effects. Econometrica, 74(1), 235–267. https://doi.org/10.1111/j.1468-0262.2006.00655.x Search in Google Scholar

[3] Angrist J. D. and J. S. Pischke. (2008). Mostly Harmless Econometrics : An Empiricist ’ s Companion. Massachusettts I Nstitute of Technology and The London School of Economics, (March), 290. https://doi.org/10.1017/CBO9781107415324.004 Search in Google Scholar

[4] Attanasio, O., Fitzsimons, E., & Gomez, A. (2005). The Impact of a Conditional Education Subsidy on School enrollment in Colombia. Centre for the Evaluation of Development Policies (EDePo), Report Sum, 1–14. Search in Google Scholar

[5] Baker, R., & Siemens, G. (2013). Educational Data Mining and Learning Analytics Ryan S.J.d. Baker, Teachers College, Columbia University George Siemens, Athabasca University 1. Cambridge Handbook of the Learning Sciences. Search in Google Scholar

[6] Caliendo, M., & Kopeinig, S. (2005). Some Practical Guidance for the Implementation of Propensity Score Matching. DIW Discussion Paper, 485(1), 1–29. https://doi.org/10.1111/j.1467-6419.2007.00527.x Search in Google Scholar

[7] Caliendo, M., & Kopenig, S. (2005). Some Practical Guidance for the Implementation of Propensity Score Matching. IZA Institute for the Study of Labor, Discussion paper no.1588. Search in Google Scholar

[8] Dahejia, R. H., & Wahaba, S. (1999). Causal effects in non-experimental studies. Journal of the American Statistical Association, 94(448), 1053–1062. Search in Google Scholar

[9] Daly, A., & Fane, G. (2002). Anti-Poverty Programs in Indonesia. Bulletin of Indonesian Economic Studies, 38(3), 309–329. https://doi.org/10.1080/00074910215535 Search in Google Scholar

[10] Dearden, L., Emmerson, C., Frayne, C., & Meghir, C. (2000). Education Subsidies and School Drop-Out Rates (Vol. 12). Search in Google Scholar

[11] DE Silva, I., & Sumarto, S. (2015). Dynamics of Growth, Poverty and Human Capital: Evidence From Indonesian Sub-National Data. Journal of Economic Development, 40(2), 1–33. Search in Google Scholar

[12] Fiszbein, A., & Schady, N. R. (2009). Conditional cash transfers. World Bank Policy Report (Vol. 1). https://doi.org/10.1016/S0378-4266(03)00124-9 Search in Google Scholar

[13] Glewwe, P., & Olinto, P. (2004). Evaluating of the Impact of Conditional Cash Transfers on Schooling: An Experimental Analysis of Honduras’ PRAF Program, 1–50. Search in Google Scholar

[14] Heckman, G. J. (1997). Dunkl operators. Asterisque, 245, 223–246. Search in Google Scholar

[15] Khandker, S., Pitt, M., & Fuwa, N. (2010). Subsidy to Promote Girls’ Secondary Education: The Female Stipend Program in Bangladesh. MPRA, (23688). Search in Google Scholar

[16] Khandker, S. R., Koolwal, G. B., & Samad, H. A. (2010). Handbook on Impact Evaluation. World Bank. Washington. Search in Google Scholar

[17] Korten, D. (1984). Rural development programming: The learning process approach. In Peoplecentered Development contributions toward theory and planning frameworks. Search in Google Scholar

[18] Maluccio, J. A., & Flores, R. (2004). Impact Evaluation of a Contional Cash Transfer Program: the Nicaraguan Red De Proteccion Social. Search in Google Scholar

[19] Murnane, R. J., & Ganimian, A. J. (2014). Improving Educational Outcomes in Developing Countries: Lessons From Rigoroues Evaluation. Search in Google Scholar

[20] Rosenbaum, P. R., & Rubin, D. B. (1983). a. “The Central Role of the Propensity Score in Observational Studies for Causal Effects.” Biometrika, 70(1), 41–55. https://doi.org/10.1093/biomet/70.1.41 Search in Google Scholar

[21] Rubin, D. B. (1977). Assignment to Treatment Group on the Basis of a Covariate. Journal of Educational Statistics, 2(1), 1–26. Search in Google Scholar

[22] Schultz, T. P. (2001). Economic Growth Center School Subsidies for the Poor: Evaluating the Mexican PROGRESA Poverty Program. New Haven. Search in Google Scholar

[23] Strauss, J., Witoelar, F., & Sikoki, B. (2016). User’s Guide for the Indonesia Family Life Survey, Wave 5. RAND Labor and Population Working Paper Series, 2. Search in Google Scholar

[24] Sulistyaningrum, E. (2016). Impact Evaluation of the School Operational Assistance Program (Bos) Using the Matching Method. Journal of Indonesian Economy and Business: JIEB, 35–62(31), 1. Retrieved from http://search.proquest.com.virtual.anu.edu.au/docview/1786605462/fulltextPDF/5D05B29836A74980PQ/26?accountid=8330 Search in Google Scholar

[25] World Bank. (2014). World Development Indicators 2014. Group. https://doi.org/10.1596/978-1-4648-0163-1 Search in Google Scholar

[26] World Bank. (2015). World Development Indicators 2015. World Bank. https://doi.org/10.1596/978-0-8213-7386-6 Search in Google Scholar

[27] Yulianti, N.R. (2015). The Functioning and Effect of a Cash Transfer Program in Indonesia. International Institute of Social Studies. Search in Google Scholar

[28] Widnyani, I.A.M., & Sukadana, I.W. 2017. Dampak Unconditional Cash Transfers (UCT): Studi Kasus Bantuan Langsung Sementara Masyarakat (BLSM) pada Rumah Tangga Miskin di Indonesia. Udayana University. Search in Google Scholar