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Analyse du différentiel de performances scolaires dans les pays PASEC sur la base de la régression quantile contrefactuelle

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  • Romuald Foueka

Abstract

Le développement humain s'apparente à la liberté de réaliser le plein potentiel de chaque vie humaine. Notre étude décompose le différentiel de performances scolaires dans l'optique de trouver les éléments clivants pouvant être éliminés afin d'assurer l'objectif d'apprentissage pour tous dans les pays PASEC. L'analyse statistique révèle que l’écart de performance est grand selon le milieu de résidence ou le type d’école. Les estimations portent sur la régression quantile inconditionnelle (contrefactuelle) du modèle de Firpo et al. (2018). L'estimation des fonctions d'influence recentrée suivant chaque distinction montrent que les ressources scolaires agissent variablement sur les quantiles. Les effets positifs portent davantage sur les élèves faibles. En décomposant, nous trouvons que l'effet composition explique mieux le différentiel de scores par rapport à l'effet structurel selon le milieu ou le type d’école. Suivant le genre, l'effet caractéristique prime uniquement en lecture. La décomposition contrefactuelle révèle qu'une éventuelle permutation de caractéristiques entre les groupes entrainerait une baisse de l'effet caractéristique selon le type d’école et une hausse de cet effet selon le lieu et le genre. Agir davantage sur les ressources scolaires permettrait de lutter contre les écarts de performances et de relever le niveau d'apprentissage des plus faibles.

Suggested Citation

  • Romuald Foueka, 2020. "Analyse du différentiel de performances scolaires dans les pays PASEC sur la base de la régression quantile contrefactuelle," African Development Review, African Development Bank, vol. 32(4), pages 605-618, December.
    • Handle: RePEc:bla:afrdev:v:32:y:2020:i:4:p:605-618
    DOI: 10.1111/1467-8268.12464
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    References listed on IDEAS

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    1. Munir, Farzana & Winter-Ebmer, Rudolf, 2018. "Decomposing international gender test score differences," Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 52(1), pages 1-12.
    2. Farzana Munir & Rudolf Winter-Ebmer, 2018. "Decomposing international gender test score differences," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 52(1), pages 1-17, December.
    3. Victor Chernozhukov & Iván Fernández‐Val & Blaise Melly, 2013. "Inference on Counterfactual Distributions," Econometrica, Econometric Society, vol. 81(6), pages 2205-2268, November.
    4. Nadir ALTINOK, 2015. "Une éducation pour tous de qualité: une analyse statistique sur les pays d'Afrique sub-saharienne," Economies et Sociétés (Serie 'Histoire Economique Quantitative'), Association Française de Cliométrie (AFC), issue 50, pages 919-950, Juin.
    5. Dickerson, Andy & McIntosh, Steven & Valente, Christine, 2015. "Do the maths: An analysis of the gender gap in mathematics in Africa," Economics of Education Review, Elsevier, vol. 46(C), pages 1-22.
    6. Meghnad Desai, 1992. "Population and Poverty in Africa," African Development Review, African Development Bank, vol. 4(1), pages 63-78.
    7. Nguyen, Binh T. & Albrecht, James W. & Vroman, Susan B. & Westbrook, M. Daniel, 2007. "A quantile regression decomposition of urban-rural inequality in Vietnam," Journal of Development Economics, Elsevier, vol. 83(2), pages 466-490, July.
    8. Contini, Dalit & Tommaso, Maria Laura Di & Mendolia, Silvia, 2017. "The gender gap in mathematics achievement: Evidence from Italian data," Economics of Education Review, Elsevier, vol. 58(C), pages 32-42.
    9. Huong Thu Le & Ha Trong Nguyen, 2018. "The evolution of the gender test score gap through seventh grade: new insights from Australia using unconditional quantile regression and decomposition," IZA Journal of Labor Economics, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 7(1), pages 1-42, December.
    10. Roland G. Fryer & Steven D. Levitt, 2010. "An Empirical Analysis of the Gender Gap in Mathematics," American Economic Journal: Applied Economics, American Economic Association, vol. 2(2), pages 210-240, April.
    11. Xavier D’Haultfoeuille & Pauline Givord, 2014. "La régression quantile en pratique," Économie et Statistique, Programme National Persée, vol. 471(1), pages 85-111.
    12. Lounkaew, Kiatanantha, 2013. "Explaining urban–rural differences in educational achievement in Thailand: Evidence from PISA literacy data," Economics of Education Review, Elsevier, vol. 37(C), pages 213-225.
    13. Mthuli Ncube & John C. Anyanwu & Kjell Hausken, 2014. "Inequality, Economic Growth and Poverty in the Middle East and North Africa (MENA)," African Development Review, African Development Bank, vol. 26(3), pages 435-453, September.
    14. Gabriel Montes-Rojas & Lucas Siga & Ram Mainali, 2017. "Mean and quantile regression Oaxaca-Blinder decompositions with an application to caste discrimination," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 15(3), pages 245-255, September.
    15. Sergio P. Firpo & Nicole M. Fortin & Thomas Lemieux, 2018. "Decomposing Wage Distributions Using Recentered Influence Function Regressions," Econometrics, MDPI, vol. 6(2), pages 1-40, May.
    16. Nicolai T. Borgen, 2016. "Fixed effects in unconditional quantile regression," Stata Journal, StataCorp LP, vol. 16(2), pages 403-415, June.
    17. Sergio Firpo & Nicole M. Fortin & Thomas Lemieux, 2009. "Unconditional Quantile Regressions," Econometrica, Econometric Society, vol. 77(3), pages 953-973, May.
    18. Fernando Rios-Avila, 2020. "Recentered influence functions (RIFs) in Stata: RIF regression and RIF decomposition," Stata Journal, StataCorp LP, vol. 20(1), pages 51-94, March.
    19. Delprato, Marcos & Chudgar, Amita, 2018. "Factors associated with private-public school performance: Analysis of TALIS-PISA link data," International Journal of Educational Development, Elsevier, vol. 61(C), pages 155-172.
    20. José A. F. Machado & José Mata, 2005. "Counterfactual decomposition of changes in wage distributions using quantile regression," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(4), pages 445-465, May.
    21. Oliveira, Pedro Rodrigues de & Belluzzo, Walter & Pazello, Elaine Toldo, 2013. "The public–private test score gap in Brazil," Economics of Education Review, Elsevier, vol. 35(C), pages 120-133.
    22. Gevrek, Z. Eylem & Seiberlich, Ruben R., 2014. "Semiparametric decomposition of the gender achievement gap: An application for Turkey," Labour Economics, Elsevier, vol. 31(C), pages 27-44.
    23. Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
    24. Giambona, Francesca & Porcu, Mariano, 2015. "Student background determinants of reading achievement in Italy. A quantile regression analysis," International Journal of Educational Development, Elsevier, vol. 44(C), pages 95-107.
    25. Mthuli Ncube & John Anyanwu & Kjell Hausken, 2014. "Working Paper 195 - Inequality, Economic Growth, and Poverty in the Middle East and North Africa (MENA)," Working Paper Series 999, African Development Bank.
    26. Thanh P. Bui & Katsushi S. Imai, 2019. "Determinants of Rural-Urban Inequality in Vietnam: Detailed Decomposition Analyses Based on Unconditional Quantile Regressions," Journal of Development Studies, Taylor & Francis Journals, vol. 55(12), pages 2610-2625, December.
    27. repec:iab:iabjlr:v:52:i:1:p:art.12 is not listed on IDEAS
    28. Frank Agyire-Tettey & Charles Godfred Ackah & Derek Asuman, 2018. "An Unconditional Quantile Regression Based Decomposition of Spatial Welfare Inequalities in Ghana," Journal of Development Studies, Taylor & Francis Journals, vol. 54(3), pages 537-556, March.
    29. John Anyanwu, 2005. "Rural Poverty in Nigeria: Profile, Determinants and Exit Paths," African Development Review, African Development Bank, vol. 17(3), pages 435-460.
    30. Kitae Sohn, 2012. "A New Insight Into The Gender Gap In Math," Bulletin of Economic Research, Wiley Blackwell, vol. 64(1), pages 135-155, January.
    31. Sandefur, Justin, 2018. "Internationally comparable mathematics scores for fourteen african countries," Economics of Education Review, Elsevier, vol. 62(C), pages 267-286.
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