IDEAS home Printed from https://ideas.repec.org/p/wbk/wbrwps/3982.html
   My bibliography  Save this paper

Quality of schooling and quality of schools for indigenous students in Guatemala, Mexico, and Peru

Author

Listed:
  • Hernandez-Zavala, Martha
  • Patrinos, Harry Anthony
  • Sakellariou, Chris
  • Shapiro, Joseph

Abstract

A substantial gap in test scores exists between indigenous and non-indigenous students in Latin America. Using test score data for 3rd and 4th yearprimary school pupils in Guatemala and Peru, and 5th grade pupils in Mexico, the authors assess the magnitude of the indigenous and non-indigenous test score gap and identify the main family and school inputs contributing to the gap. A decomposition of the gap into its constituent components suggests that the proportion that is explained by family and school characteristics is between 41 and 75 percent of the overall test-score gap. Furthermore, family variables contribute more than school variables to the overall explained component.

Suggested Citation

  • Hernandez-Zavala, Martha & Patrinos, Harry Anthony & Sakellariou, Chris & Shapiro, Joseph, 2006. "Quality of schooling and quality of schools for indigenous students in Guatemala, Mexico, and Peru," Policy Research Working Paper Series 3982, The World Bank.
  • Handle: RePEc:wbk:wbrwps:3982
    as

    Download full text from publisher

    File URL: http://www-wds.worldbank.org/external/default/WDSContentServer/WDSP/IB/2006/08/01/000016406_20060801115754/Rendered/PDF/wps3982.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hanushek, Eric A & Rivkin, Steven G & Taylor, Lori L, 1996. "Aggregation and the Estimated Effects of School Resources," The Review of Economics and Statistics, MIT Press, vol. 78(4), pages 611-627, November.
    2. Oaxaca, Ronald, 1973. "Male-Female Wage Differentials in Urban Labor Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(3), pages 693-709, October.
    3. Janet Currie & Duncan Thomas, 1999. "Early Test Scores, Socioeconomic Status and Future Outcomes," NBER Working Papers 6943, National Bureau of Economic Research, Inc.
    4. Joshua Angrist & Eric Bettinger & Erik Bloom & Elizabeth King & Michael Kremer, 2002. "Vouchers for Private Schooling in Colombia: Evidence from a Randomized Natural Experiment," American Economic Review, American Economic Association, vol. 92(5), pages 1535-1558, December.
    5. Bishop, John Hillman, 1989. "Is the Test Score Decline Responsible for the Productivity Growth Decline?," American Economic Review, American Economic Association, vol. 79(1), pages 178-197, March.
    6. 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.
    7. O'Neill, June, 1990. "The Role of Human Capital in Earnings Differences between Black and White Men," Journal of Economic Perspectives, American Economic Association, vol. 4(4), pages 25-45, Fall.
    8. Shapiro, Joseph & Trevino, Jorge Moreno, 2004. "Compensatory education for disadvantaged Mexican students : an impact evaluation using propensity score matching," Policy Research Working Paper Series 3334, The World Bank.
    9. McEwan, Patrick J, 2004. "The Indigenous Test Score Gap in Bolivia and Chile," Economic Development and Cultural Change, University of Chicago Press, vol. 53(1), pages 157-190, October.
    10. Roland G. Fryer & Steven D. Levitt, 2006. "The Black-White Test Score Gap Through Third Grade," American Law and Economics Review, American Law and Economics Association, vol. 8(2), pages 249-281.
    11. Murnane, Richard J & Willett, John B & Levy, Frank, 1995. "The Growing Importance of Cognitive Skills in Wage Determination," The Review of Economics and Statistics, MIT Press, vol. 77(2), pages 251-266, May.
    12. Richard J. Murnane & John B. Willett & Yves Duhaldeborde & John H. Tyler, 2000. "How important are the cognitive skills of teenagers in predicting subsequent earnings?," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 19(4), pages 547-568.
    13. Roland G. Fryer & Steven D. Levitt, 2004. "Understanding the Black-White Test Score Gap in the First Two Years of School," The Review of Economics and Statistics, MIT Press, vol. 86(2), pages 447-464, May.
    14. Hanushek, Eric A, 1995. "Interpreting Recent Research on Schooling in Developing Countries," The World Bank Research Observer, World Bank, vol. 10(2), pages 227-246, August.
    15. Petra E. Todd & Kenneth I. Wolpin, 2003. "On The Specification and Estimation of The Production Function for Cognitive Achievement," Economic Journal, Royal Economic Society, vol. 113(485), pages 3-33, February.
    16. Gillette Hall & Harry Anthony Patrinos (ed.), 2006. "Indigenous Peoples, Poverty and Human Development in Latin America," Palgrave Macmillan Books, Palgrave Macmillan, number 978-0-230-37722-6, December.
    17. Moulton, Brent R., 1986. "Random group effects and the precision of regression estimates," Journal of Econometrics, Elsevier, vol. 32(3), pages 385-397, August.
    18. Vega, Emiliana, 2002. "School choice, student performance, and teacher and school characteristics : the Chilean case," Policy Research Working Paper Series 2833, The World Bank.
    19. Hanushek, Eric A. & Luque, Javier A., 2003. "Efficiency and equity in schools around the world," Economics of Education Review, Elsevier, vol. 22(5), pages 481-502, October.
    20. World Bank, 2005. "Mexico : Determinants of Learning Policy Note," World Bank Publications - Reports 8284, The World Bank Group.
    21. Paul Glewwe, 2002. "Schools and Skills in Developing Countries: Education Policies and Socioeconomic Outcomes," Journal of Economic Literature, American Economic Association, vol. 40(2), pages 436-482, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Delprato, Marcos & Frola, Alessia & Antequera, Germán, 2022. "Indigenous and non-Indigenous proficiency gaps for out-of-school and in-school populations: A machine learning approach," International Journal of Educational Development, Elsevier, vol. 93(C).
    2. Arteaga, Irma & Glewwe, Paul, 2019. "Do community factors matter? An analysis of the achievement gap between indigenous and non-indigenous children in Peru," International Journal of Educational Development, Elsevier, vol. 65(C), pages 80-91.
    3. Pasquier-Doumer, Laure & Risso Brandon, Fiorella, 2015. "Aspiration Failure: A Poverty Trap for Indigenous Children in Peru?," World Development, Elsevier, vol. 72(C), pages 208-223.
    4. Delprato, Marcos, 2019. "Parental education expectations and achievement for Indigenous students in Latin America: Evidence from TERCE learning survey," International Journal of Educational Development, Elsevier, vol. 65(C), pages 10-25.
    5. Castro, Juan F. & Rolleston, Caine, 2018. "The contribution of early childhood and schools to cognitive gaps: New evidence from Peru," Economics of Education Review, Elsevier, vol. 64(C), pages 144-164.
    6. Marshall, Jeffery H., 2009. "School quality and learning gains in rural Guatemala," Economics of Education Review, Elsevier, vol. 28(2), pages 207-216, April.
    7. Barrera-Osorio, F. & García-Moreno, V. & Patrinos, H., & Porta, E., 2011. "Using the Oaxaca-Blinder Decomposition Technique to Analyze Learning Outcomes Changes over Time: An Application to Indonesia’s Results in PISA Mathematics," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 11(3).
    8. Harry Anthony Patrinos & Emmanuel Skoufias, 2007. "Economic Opportunities for Indigenous Peoples in Latin America : Conference Edition," World Bank Publications - Reports 8019, The World Bank Group.
    9. Juan F. Castro, 2015. "Linear decompositions of cognitive achievement gaps a cautionary note and an illustration using peruvian data," Working Papers 15-08, Centro de Investigación, Universidad del Pacífico.
    10. Patrick McEwan, 2008. "Can Schools Reduce the Indigenous Test Score Gap? Evidence from Chile," Journal of Development Studies, Taylor & Francis Journals, vol. 44(10), pages 1506-1530.
    11. Debra Shepherd, 2013. "A question of efficiency: decomposing South African reading test scores using PIRLS 2006," Working Papers 20/2013, Stellenbosch University, Department of Economics.
    12. Santibañez, Lucrecia, 2016. "The indigenous achievement gap in Mexico: The role of teacher policy under intercultural bilingual education," International Journal of Educational Development, Elsevier, vol. 47(C), pages 63-75.
    13. Juan F. Castro, 2017. "Revisiting Dynamic Complementarity in the Production of Cognitive Skill and its Implications for a Cognitive Achievement Gap Decomposition," Working Papers 105, Peruvian Economic Association.
    14. Patrinos, Harry Anthony & Skoufias, Emmanuel & Lunde, Trine, 2007. "Indigenous peoples in Latin America : economic opportunities and social networks," Policy Research Working Paper Series 4227, The World Bank.
    15. Gauthier, Bernard & Punyasavatsut, Chaiyuth, 2019. "Inequalities in Presence of a School Funding Formula: The 15-year Free Education Program in Thailand," International Journal of Educational Development, Elsevier, vol. 70(C), pages 1-1.
    16. Debra L. Shepherd, 2011. "Constraints to school effectiveness: what prevents poor schools from delivering results?," Working Papers 05/2011, Stellenbosch University, Department of Economics.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Barrera-Osorio, F. & García-Moreno, V. & Patrinos, H., & Porta, E., 2011. "Using the Oaxaca-Blinder Decomposition Technique to Analyze Learning Outcomes Changes over Time: An Application to Indonesia’s Results in PISA Mathematics," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 11(3).
    2. Eric A. Hanushek & Ludger Woessmann, 2008. "The Role of Cognitive Skills in Economic Development," Journal of Economic Literature, American Economic Association, vol. 46(3), pages 607-668, September.
    3. Oecd, 2011. "The Impact of the 1999 Education Reform in Poland," OECD Education Working Papers 49, OECD Publishing.
    4. Eric A. Hanushek & Victor Lavy & Kohtaro Hitomi, 2008. "Do Students Care about School Quality? Determinants of Dropout Behavior in Developing Countries," Journal of Human Capital, University of Chicago Press, vol. 2(1), pages 69-105.
    5. Bernal, Pedro & Mittag, Nikolas & Qureshi, Javaeria A., 2016. "Estimating effects of school quality using multiple proxies," Labour Economics, Elsevier, vol. 39(C), pages 1-10.
    6. 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.
    7. Hanushek, Eric A. & Luque, Javier A., 2003. "Efficiency and equity in schools around the world," Economics of Education Review, Elsevier, vol. 22(5), pages 481-502, October.
    8. Eric A. Hanushek, 2008. "Incentives for Efficiency and Equity in the School System," Perspektiven der Wirtschaftspolitik, Verein für Socialpolitik, vol. 9(s1), pages 5-27, May.
    9. Eric A. Hanushek, 2002. "The Long Run Importance of School Quality," NBER Working Papers 9071, National Bureau of Economic Research, Inc.
    10. Ludger Wossmann, 2010. "Families, schools and primary-school learning: evidence for Argentina and Colombia in an international perspective," Applied Economics, Taylor & Francis Journals, vol. 42(21), pages 2645-2665.
    11. Eric A. Hanushek, 2004. "Some Simple Analytics of School Quality," NBER Working Papers 10229, National Bureau of Economic Research, Inc.
    12. Arteaga, Irma & Glewwe, Paul, 2019. "Do community factors matter? An analysis of the achievement gap between indigenous and non-indigenous children in Peru," International Journal of Educational Development, Elsevier, vol. 65(C), pages 80-91.
    13. Wößmann, Ludger, 2001. "New Evidence on the Missing Resource-Performance Link in Education," Kiel Working Papers 1051, Kiel Institute for the World Economy (IfW Kiel).
    14. Hynsjö, Disa & Damon, Amy, 2016. "Bilingual education in Peru: Evidence on how Quechua-medium education affects indigenous children's academic achievement," Economics of Education Review, Elsevier, vol. 53(C), pages 116-132.
    15. Barber, Michael & Jones, Maggie E.C., 2021. "Inequalities in test scores between Indigenous and non-Indigenous youth in Canada," Economics of Education Review, Elsevier, vol. 83(C).
    16. Àlexandr Knobel & Ilya Sokolov & Elizaveta Khudko, 2011. "The Impact of State Expenditure on the Quality of General Education in Russia," Research Paper Series, Gaidar Institute for Economic Policy, issue 152P.
    17. Eric A. Hanushek & Steven G. Rivkin, 2009. "Harming the best: How schools affect the black-white achievement gap," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 28(3), pages 366-393.
    18. Petra E. Todd & Kenneth I. Wolpin, 2007. "The Production of Cognitive Achievement in Children: Home, School, and Racial Test Score Gaps," Journal of Human Capital, University of Chicago Press, vol. 1(1), pages 91-136.
    19. Tymon Słoczyński, 2020. "Average Gaps and Oaxaca–Blinder Decompositions: A Cautionary Tale about Regression Estimates of Racial Differences in Labor Market Outcomes," ILR Review, Cornell University, ILR School, vol. 73(3), pages 705-729, May.
    20. Nguyen, Ha, 2015. "The evolution of the gender test score gap through seventh grade: New insights from Australia using quantile regression and decomposition," MPRA Paper 67586, University Library of Munich, Germany.

    More about this item

    Keywords

    Tertiary Education; Secondary Education; Primary Education; Teaching and Learning; Education For All;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wbk:wbrwps:3982. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Roula I. Yazigi (email available below). General contact details of provider: https://edirc.repec.org/data/dvewbus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.