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Abstract

Primary education plays a central role in the Burkinabe school system. Several projects have been launched that contribute to expanding the resources available for basic education in Burkina Faso. However, education systems in the different administrative regions of Burkina Faso may not all be equally capable of employing the resources they receive to generate significant results. This study uses the data envelopment analysis (DEA) method to assess the efficiency with which basic education is provided throughout the 45 provinces of Burkina Faso. Overall, our results reveal that resources are not used optimally for the provision of basic education in the provinces of Burkina Faso. Moreover, in most of the provinces studied, returns to scale in basic education are decreasing. In order to explain inefficiency scores, we also use the Simar and Wilson (2007) procedure. We find that households' living situation can explain efficiency in primary education provision.

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File URL: http://pages.usherbrooke.ca/gredi/wpapers/GREDI-1212.pdf
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Bibliographic Info

Paper provided by Departement d'Economique de la Faculte d'administration à l'Universite de Sherbrooke in its series Cahiers de recherche with number 12-12.

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Length: 19 pages
Date of creation: Sep 2012
Date of revision:
Handle: RePEc:shr:wpaper:12-12

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Postal: Sherbrooke, Québec, J1K 2R1
Phone: (819) 821-7233
Fax: (819) 821-6930
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Web page: http://www.gredi.org/home/documents-de-travail
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Related research

Keywords: Data Envelopment Analysis; Efficiency; Primary education; Burkina Faso; Bootstrap procedures;

This paper has been announced in the following NEP Reports:

• NEP-AFR-2012-10-20 (Africa)
• NEP-ALL-2012-10-20 (All new papers)
• NEP-DEV-2012-10-20 (Development)
• NEP-EFF-2012-10-20 (Efficiency & Productivity)

References

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1. J. Johnes & J. Taylor, . "Measuring the Performance of Universities," Working Papers ec3/90, Department of Economics, University of Lancaster.
2. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
3. Léopold Simar & Paul W. Wilson, 1998. "Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models," Management Science, INFORMS, vol. 44(1), pages 49-61, January.
   
   • SIMAR, Léopold & WILSON, Paul, 1995. "Sensitivity Analysis to Efficiency Scores : How to Bootstrap in Nonparametric Frontier Models," CORE Discussion Papers 1995043, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
4. Andrew Worthington, 2001. "An Empirical Survey of Frontier Efficiency Measurement Techniques in Education," Education Economics, Taylor and Francis Journals, vol. 9(3), pages 245-268.
5. Jean Bourdon, 2009. "La mesure de l'efficacité scolaire par la méthode de l'enveloppe : test des filières alternatives de recrutement des enseignants dans le cadre du processus Education pour tous," Post-Print halshs-00399562, HAL.
6. Barrow, Michael M., 1991. "Measuring local education authority performance: A frontier approach," Economics of Education Review, Elsevier, vol. 10(1), pages 19-27, March.
7. A. Bessent & W. Bessent & J. Kennington & B. Reagan, 1982. "An Application of Mathematical Programming to Assess Productivity in the Houston Independent School District," Management Science, INFORMS, vol. 28(12), pages 1355-1367, December.
8. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
9. Wouterse, Fleur, 2011. "Social services, human capital, and technical efficiency of smallholders in Burkina Faso:," IFPRI discussion papers 1068, International Food Policy Research Institute (IFPRI).
10. Subhash C. Ray, 1991. "Resource-Use Efficiency in Public Schools: A Study of Connecticut Data," Management Science, INFORMS, vol. 37(12), pages 1620-1628, December.
11. Simar, Leopold & Wilson, Paul W., 2007. "Estimation and inference in two-stage, semi-parametric models of production processes," Journal of Econometrics, Elsevier, vol. 136(1), pages 31-64, January.
12. Afonso, Antonio & St. Aubyn, Miguel, 2006. "Cross-country efficiency of secondary education provision: A semi-parametric analysis with non-discretionary inputs," Economic Modelling, Elsevier, vol. 23(3), pages 476-491, May.
    
    • António Afonso & Miguel St. Aubyn, 2005. "Cross-country efficiency of secondary education provision - a semi-parametric analysis with non-discretionary inputs," Working Paper Series 494, European Central Bank.
    • António Afonso & Miguel St. Aubyn, 2005. "Cross-country Efficiency of Secondary Education Provision: a Semi-parametric Analysis with Nondiscretionary Inputs," Working Papers 2005/05, Department of Economics at the School of Economics and Management (ISEG), Technical University of Lisbon..
13. Duncombe, William & Miner, Jerry & Ruggiero, John, 1997. " Empirical Evaluation of Bureaucratic Models of Inefficiency," Public Choice, Springer, vol. 93(1-2), pages 1-18, October.
14. Ruggiero, John, 1996. "On the measurement of technical efficiency in the public sector," European Journal of Operational Research, Elsevier, vol. 90(3), pages 553-565, May.
15. Aleksandra PARTEKA & Joanna WOLSZCZAK-DERLACZ, 2011. "Dynamics of productivity in higher education. Cross-European evidence based on bootstrapped Malmquist indices," Departmental Working Papers 2011-10, Department of Economics, Management and Quantitative Methods at Università degli Studi di Milano.

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