IDEAS home Printed from https://ideas.repec.org/a/col/000151/009334.html
   My bibliography  Save this article

Etnia y rendimiento académico en Colombia

Author

Listed:
  • Andrés Sanchez - Jabba

    ()

Abstract

Resumen: En Colombia, los estudiantes pertenecientes a una etnia presentan un rendimiento inferior alde sus pares no étnicos en pruebas académicas estandarizadas, en las áreas de matemáticas y lenguaje. Dicha brecha es persistente a nivel departamental, especialmente entre los departamentosdonde reside un alto porcentaje de población etnica. Con base en los resultados de la prueba SABER 11, este estudio analiza la brecha entre el rendimiento académico de los estudiantes étnicos y los no étnicos, y la descompone en factores relacionados con las características observables, como: familia y colegio; así como factores no observables. Se utiliza la metodología de Blinder y Oaxaca, extendida al análisis de regresiones por cuantiles. Los resultados indican que en los departamentos donde la brecha académica es estadísticamente significativa, la mayor parte es atribuible a factores no observables. Sin embargo, para distintos niveles de desempeño académico, el comportamiento de la misma y sus factores explicativos son diversos.Abstract:In Colombia, students from an ethnic group have a lower academic achievement with respect to their non-ethnic peers in standardized test scores on math and language. This gap is persistent at a state level, especially in high ethnic density states. Using information from the state academic test (SABER 11), this study corroborates the existence of an academic gap between ethnic and non-ethnic students and, additionally, decomposes it in factors related to observable characteristics, such as family and school; and non-observable factors. The methodology proposed by Blinder and Oaxaca applied to quantile regression is used in order to determine the existence of test score gaps throughout the distribution of academic performance. Results indicate that for states where there is a statistically significant gap, a sizeable portion of it is attributed to nonobservable factors. Nonetheless, at distinct levels of academic performance, the gap size and the extent to which it can be attributed non-observable factors vary according to the state.

Suggested Citation

  • Andrés Sanchez - Jabba, 2011. "Etnia y rendimiento académico en Colombia," Revista de Economía del Rosario, Universidad del Rosario, November.
    • Handle: RePEc:col:000151:009334
    as

    Download full text from publisher

    File URL: http://revistas.urosario.edu.co/index.php/economia/article/view/2158/1886
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Jairo NUÑEZ MENDEZ & Roberto STEINER & Ximena CADENA & Renata PARDO, 2002. "¿Cuáles colegios ofrecen mejor educación en Colombia?," Archivos de Economía 003795, Departamento Nacional de Planeación.
    2. George Martine, 1975. "Volume, characteristics and consequences of internal migration in Colombia," Demography, Springer;Population Association of America (PAA), vol. 12(2), pages 193-208, May.
    3. Victor Chernozhukov & Iván Fernández‐Val & Blaise Melly, 2013. "Inference on Counterfactual Distributions," Econometrica, Econometric Society, vol. 81(6), pages 2205-2268, November.
    4. Romero-Prieto, Julio Enrique, 2011. "El éxito económico de los costeños en Bogotá : migración interna y capital humano," Chapters, in: Bonilla-Mejía, Leonardo (ed.),Dimensión regional de las desigualdades en Colombia, chapter 7, pages 255-283, Banco de la Republica de Colombia.
    5. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    6. Carlos G. Ospino & Paola Roldán Vasquez & Nacira Barraza Narváez, 2010. "Oaxaca-Blinder wage decomposition: Methods, critiques and applications. A literature review," Revista de Economía del Caribe 007807, Universidad del Norte.
    7. José Mata & José A. F. Machado, 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.
    8. Romero-Prieto, Julio Enrique, 2011. "Educación, calidad de vida y otras desventajas económicas de los indígenas en Colombia," Chapters, in: Bonilla-Mejía, Leonardo (ed.),Dimensión regional de las desigualdades en Colombia, chapter 5, pages 167-206, Banco de la Republica de Colombia.
    9. Galvis-Aponte, Luis Armando, 2011. "Diferenciales salariales por género y región en Colombia : una aproximación con regresión por cuantiles," Chapters, in: Bonilla-Mejía, Leonardo (ed.),Dimensión regional de las desigualdades en Colombia, chapter 6, pages 209-252, Banco de la Republica de Colombia.
    10. Juan D. Barón, 2011. "Sensibilidad de la oferta de migrantes internos a las condiciones del mercado laboral en las principales ciudades de Colombia," Documentos de Trabajo Sobre Economía Regional y Urbana 008831, Banco de la República - Economía Regional.
    11. 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.
    12. 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.
    13. Ben Jann, 2008. "The Blinder–Oaxaca decomposition for linear regression models," Stata Journal, StataCorp LP, vol. 8(4), pages 453-479, December.
    Full references (including those not matched with items on IDEAS)

    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. Domenico Depalo & Raffaela Giordano & Evangelia Papapetrou, 2015. "Public–private wage differentials in euro-area countries: evidence from quantile decomposition analysis," Empirical Economics, Springer, vol. 49(3), pages 985-1015, November.
    2. Rui Dang, 2015. "Explaining the Body Mass Index Gaps between Turkish Immigrants and Germans in West Germany 2002-2012: A Decomposition Analysis of Socio-economic Causes," CESifo Working Paper Series 5529, CESifo.
    3. Philippe Van Kerm & Seunghee Yu & Chung Choe, 2016. "Decomposing quantile wage gaps: a conditional likelihood approach," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 65(4), pages 507-527, August.
    4. Jeremiah Richey & Alicia Rosburg, 2020. "Decomposing joint distributions via reweighting functions: an application to intergenerational economic mobility," Econometric Reviews, Taylor & Francis Journals, vol. 39(6), pages 541-558, July.
    5. Daniela Piazzalunga & Maria Laura Di Tommaso, 2019. "The increase of the gender wage gap in Italy during the 2008-2012 economic crisis," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 17(2), pages 171-193, June.
    6. Zhu, Rong, 2016. "Wage differentials between urban residents and rural migrants in urban China during 2002–2007: A distributional analysis," China Economic Review, Elsevier, vol. 37(C), pages 2-14.
    7. Matthias Collischon, 2017. "Is there a Glass Ceiling over Germany?," Working Papers 175, Bavarian Graduate Program in Economics (BGPE).
    8. Jeremiah Richey & Alicia Rosburg, 2018. "Decomposing economic mobility transition matrices," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 33(1), pages 91-108, January.
    9. Rahman, Mustafizur & Al-Hasan, Md., 2018. "Male-Female wage gap and informal employment in Bangladesh: A quantile regression approach," MPRA Paper 90131, University Library of Munich, Germany.
    10. VAN KERM Philippe & YU Seunghee & CHOE Chung, 2014. "Wage differentials between native, immigrant and cross-border workers: Evidence and model comparisons," LISER Working Paper Series 2014-05, LISER.
    11. Huong Thu Le & Alison L. Booth, 2014. "Inequality in Vietnamese Urban–Rural Living Standards, 1993–2006," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 60(4), pages 862-886, December.
    12. Sloczynski, Tymon, 2015. "Average Wage Gaps and Oaxaca–Blinder Decompositions," IZA Discussion Papers 9036, Institute of Labor Economics (IZA).
    13. Mustafizur Rahman & Md. Al-Hasan, 2019. "Male–Female Wage Gap and Informal Employment in Bangladesh: A Quantile Regression Approach," South Asia Economic Journal, Institute of Policy Studies of Sri Lanka, vol. 20(1), pages 106-123, March.
    14. Amal Jmaii & Damien Rousselière & Christophe Daniel, 2017. "Semi†parametric Regression†based Decomposition Methods: Evidence from Regional Inequality in Tunisia," African Development Review, African Development Bank, vol. 29(4), pages 660-673, December.
    15. Mustafizur Rahman & Marzuka Md. Al-Hasan, 2019. "Women in Bangladesh Labour Market: Determinants of Participation, Gender Wage Gap and Returns to Schooling," CPD Working Paper 124, Centre for Policy Dialogue (CPD).
    16. Kampon Adireksombat & Zheng Fang & Chris Sakellariou, 2016. "The Evolution Of Gender Wage Differentials In Thailand: 1991–2007 — An Application Of Unconditional Quantile Regression," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 61(05), pages 1-30, December.
    17. Qin, Yu & Zhu, Hongjia & Zhu, Rong, 2016. "Changes in the distribution of land prices in urban China during 2007–2012," Regional Science and Urban Economics, Elsevier, vol. 57(C), pages 77-90.
    18. Quinn Andrew Wesley Keefer, 2013. "Compensation Discrimination for Defensive Players," Journal of Sports Economics, , vol. 14(1), pages 23-44, February.
    19. Richey, Jeremiah & Rosburg, Alicia, 2016. "Understanding intergenerational economic mobility by decomposing joint distributions," MPRA Paper 72665, University Library of Munich, Germany.
    20. Sakellariou, Chris, 2012. "Decomposing the increase in TIMSS Scores in Ghana : 2003-2007," Policy Research Working Paper Series 6084, The World Bank.

    More about this item

    Keywords

    Rendimiento académico; etnia; educaciónacademic performance; ethnicity; education.;

    JEL classification:

    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination

    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:col:000151:009334. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Facultad de Economía). General contact details of provider: .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.