The Dinaledi Intervention Program
Abstract
The study seeks to examine the relationship between educational inputs, primarily the Dinaledi intervention program and schooling outcomes. The Dinaledi program is one of the government’s intervention programs to redress the inequalities and provided education resources to the previously disadvantaged communities in South Africa. The study employed a pseudo panel analysis on the attempt to answer the question of interest. Considering the random effect regression, Dinaledi schools were less likely to increase dropout rate by 0.099% with reference to non-Dinaledi schools. The pseudo panel analysis indicated a positive and significant association of the Dinaledi schools to pass rates. Further extensions of the analysis were looking at the distribution of the Dinaledi program on racial and gender issues by using the DiNardo- Fortin-Lemieux (DFL) estimation. It can be concluded that schooling outcomes can be strongly influenced by the Dinaledi intervention program with females and Blacks becoming more responsive to dropping out than their counterparts. Looking at the nature of resources and support provided to Dinaledi schools, it is recommended that the entire schooling system adopt the model to eradicate the legacy of inequality and improve schooling outcomes.Downloads
References
Behn, D. (2003). Why MeasurePerformance ? Different Purposes Require Different Measures. Public administration review, 63(5), 586–606. DOI: https://doi.org/10.1111/1540-6210.00322
Bhorat, H. & Oosthuizen, M. (2006). Determinants of Grade 12 Pass Rates in the Post-Apartheid South African Schooling System. Development Policy Research Unit, (October), 1–27.
Boardman, A., Davis, O. & Sanday, P. (1977). A Simultaneous Equations Model of the Educational Process : The Coleman Data Revisited with an Emphasis on Achievement. Journal of Public Economics, 7, 23–49. DOI: https://doi.org/10.1016/0047-2727(77)90035-4
Boardman, A. & Murnane, J. (1979). Using Panel Data to Improve Estimates of the Determinants of Educational Achievement. Sociology of education, 52(2), 113–121. DOI: https://doi.org/10.2307/2112449
Borge, L. E. & Naper, L. R. ( 2006). Efficiency Potential and Efficiency Variation in Norwegian Lower Secondary Schools. Mohr Siebeck GmbH & Co. KG, 62(2), 221–249. Available at: http://openurl.ingenta.com/content/xref?genre=article&issn=0015218&volume=62&issue=2&spage=221 [Accessed March 13, 2014]. DOI: https://doi.org/10.1628/001522106X120677
Branson, N., Hofmeyr, C. & Lam, D. (2013). Southern Africa labour and development research unit progress through school and the determinants of school dropout in South Africa, CAPE TOWN. DOI: https://doi.org/10.1080/0376835X.2013.853610
Chakraborty, K., Basudeband, B. & Lewis, C. (2001). Measurement of Technical Efficiency in Public Education : A Stochastic Production Function Nonstochastic Approach. Southern economic journal, 67(4), 889–905. DOI: https://doi.org/10.2307/1061576
DBE. (2014). Education Statistics in South Africa. Government Printers, Pretoria.
Deaton, A. (1985). Panel data from time series of cross sections. Journal of Economietrics, 30, 109–126. DOI: https://doi.org/10.1016/0304-4076(85)90134-4
DIME. (2008). The Dinaledi program. , (Did), 1–3. Government Printers, Pretoria.
DoE. (2007). img-430121613-0001 provincial govt expenditure.pdf. , pp.1–10. Government Printers, Pretoria.
DoE. (2003). Improving access to free and quality basic education for all. Government Printers, Pretoria.
DoE. (2009). The Dinaledi schools project. Government Printers, Pretoria
DoE. (2011). S t r at e g i c p l a n 2007 - 2011. Government Printers, Pretoria.
Giménez, V., Prior, D. & Thieme, C. (2006). Technical efficiency, managerial efficiency and objective-setting in the educational system: an international comparison. Journal of the Operational Research Society, 58(8), 996–1007. Available at: http://www.palgrave-journals.com/doifinder/10.1057/palgrave.jors.2602213 [Accessed March 13, 2014]. DOI: https://doi.org/10.1057/palgrave.jors.2602213
Glewwe, P. (2002). Schools and Skills in Developing Countries : Education Policies and Socioeconomic Outcomes. Journal of Economic Literature, XL, 436–482. DOI: https://doi.org/10.1257/jel.40.2.436
Glewwe, P. & Kremer, M. (2006). Schools, teachers and education outcomes in developing countries. Center for global development, 2(06). DOI: https://doi.org/10.1016/S1574-0692(06)02016-2
Hanushek, E. A. (1989). Impact of differential expenditures on school performance. American Educatiion Research Association, 18(4), 45–51. DOI: https://doi.org/10.3102/0013189X018004045
Hanushek, E. A. (1990). Developing Countries. In P. Glewwe, ed. Education Policy in Developing Countries.
Johnston, J. & DiNardo, J. (1997). Econometric Methods 4th ed., McGraw-Hill.
Mancebon, M. J. & Molinero, C. M. (2000). Performance in primary schools. The journal of the operational research society, 51(7), 843–854. DOI: https://doi.org/10.1057/palgrave.jors.2600980
Mcmillan, J. H. & Reed, D. F. (1994). At-Risk students and resiliency : Factors contributing success to academic success. The Clearing house, 67(3), 137–140. DOI: https://doi.org/10.1080/00098655.1994.9956043
Mutsalklisana, C. (2011). Essays in labour and development Economics.
Ncanywa, T. (2014). The state of the Eastern Cape schools in a period almost the second decade of democracy. ERSA Working Paper 486, (December).
OECD. (2008). Review of national policies for Education: Government Printers, Pretoria.
Ray, S. (1991). Resource-use efficiency in public schools: a study of Connecticut data. Management Science, 37(12), 1620–1628. Available at: http://pubsonline.informs.org/doi/abs/10.1287/mnsc.37.12.1620 [Accessed March 13, 2014]. DOI: https://doi.org/10.1287/mnsc.37.12.1620
Schwartz, E. A. & Stiefel, L. (2004). Immigrants and the Distribution of Resources Within an Urban School District. Educational evaluation and policy analysis, 26(4), 303–327. DOI: https://doi.org/10.3102/01623737026004303
Thieme, C., Giménez, V. & Prior, D. (2011). A comparative analysis of the efficiency of national education systems. Asia Pacific Education Review, 13(1), 1–15. Available at: http://link.springer.com/10.1007/s12564-011-9177-6 [Accessed March 13, 2014]. DOI: https://doi.org/10.1007/s12564-011-9177-6
Torres-Reyna, O. (2007). Panel data analysis Fixed and Random effects using Stata (v.4.2). , (December), 1–40.
Verbeek, M. (2007). Pseudo panels and repeated cross-sections. Springer, 1–19. DOI: https://doi.org/10.2139/ssrn.869445
Ρittman, R. Β. (1991). Social factors , in enrollment vocational / technical courses , and High school dropout rates. The journal of educational research, 84(5), 288–295. DOI: https://doi.org/10.1080/00220671.1991.10886029
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