IDEAS home Printed from https://ideas.repec.org/p/col/000089/002414.html
   My bibliography  Save this paper

Efecto De Exigencia En Calificación Sobre El Desempeno Académico. Estudio De Los Cursos De Matemáticas Básicos En La Universidad De Los Andes

Author

Listed:
  • Miguel Ricardo Rueda

Abstract

Este trabajo investiga cómo la exigencia de calificación de los profesores de los cursos de Cálculo, Algebra Lineal y Ecuaciones Diferenciales afecta el desempeno académico de sus estudiantes en estas materias. Utilizando una base de datos que incluye características de los profesores y alumnos se estiman los determinantes de desempeno académico encontrando evidencia de un efecto positivo de aumentar la exigencia en la calificación. Por medio de modelos de regresión cuantílica se encuentra que el efecto de mayor exigencia es uniforme entre estudiantes ubicados en distintos puntos de la distribución del desempeno académico. De manera adicional, se encontró que el efecto de aumentar el nivel de exigencia sobre la probabilidad de retirar un curso por parte de un estudiante es positivo y de magnitud cercana a cuatro puntos porcentuales.

Suggested Citation

  • Miguel Ricardo Rueda, 2006. "Efecto De Exigencia En Calificación Sobre El Desempeno Académico. Estudio De Los Cursos De Matemáticas Básicos En La Universidad De Los Andes," Documentos CEDE 2414, Universidad de los Andes, Facultad de Economía, CEDE.
    • Handle: RePEc:col:000089:002414
    as

    Download full text from publisher

    File URL: https://repositorio.uniandes.edu.co/bitstream/handle/1992/8029/dcede2006-39.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hernán Vallejo, 2004. "Evolución Reciente Del Sistema De Notas De Pregrado En La Universidad De Los Andes Y La Facultad De Economía, Con Una Propuesta Para El Futuro," Documentos CEDE 2673, Universidad de los Andes, Facultad de Economía, CEDE.
    2. Correa, Hector & Gruver, Gene W., 1987. "Teacher-student interaction: A game theoretic extension of the economic theory of education," Mathematical Social Sciences, Elsevier, vol. 13(1), pages 19-47, February.
    3. Betts, Julian R. & Grogger, Jeff, 2003. "The impact of grading standards on student achievement, educational attainment, and entry-level earnings," Economics of Education Review, Elsevier, vol. 22(4), pages 343-352, August.
    4. Figlio, David N. & Lucas, Maurice E., 2004. "Do high grading standards affect student performance?," Journal of Public Economics, Elsevier, vol. 88(9-10), pages 1815-1834, August.
    5. Montmarquette, Claude & Mahseredjian, Sophie, 1989. "Could teacher grading practices account for unexplained variation in school achievements?," Economics of Education Review, Elsevier, vol. 8(4), pages 335-343, August.
    6. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    7. Koenker, Roger & Bassett, Gilbert, Jr, 1982. "Robust Tests for Heteroscedasticity Based on Regression Quantiles," Econometrica, Econometric Society, vol. 50(1), pages 43-61, January.
    8. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    9. Richard Sabot & John Wakeman-Linn, 1991. "Grade Inflation and Course Choice," Journal of Economic Perspectives, American Economic Association, vol. 5(1), pages 159-170, Winter.
    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. Hans Bonesrønning, 2004. "Do the teachers' grading practices affect student achievement?," Education Economics, Taylor & Francis Journals, vol. 12(2), pages 151-167.
    2. João Pereira & Aurora Galego, 2014. "Inter-Regional Wage Differentials in Portugal: An Analysis Across the Wage Distribution," Regional Studies, Taylor & Francis Journals, vol. 48(9), pages 1529-1546, September.
    3. Daniel Pollmann & Thomas Dohmen & Franz Palm, 2020. "Robust Estimation of Wage Dispersion with Censored Data: An Application to Occupational Earnings Risk and Risk Attitudes," De Economist, Springer, vol. 168(4), pages 519-540, December.
    4. Martin Gregor, 2021. "Electives Shopping, Grading Policies and Grading Competition," Economica, London School of Economics and Political Science, vol. 88(350), pages 364-398, April.
    5. Bonesronning, Hans, 1999. "The variation in teachers' grading practices: causes and consequences," Economics of Education Review, Elsevier, vol. 18(1), pages 89-106, February.
    6. Huber, Martin & Melly, Blaise, 2011. "Quantile Regression in the Presence of Sample Selection," Economics Working Paper Series 1109, University of St. Gallen, School of Economics and Political Science.
    7. Charles-Olivier Amédée-Manesme & Michel Baroni & Fabrice Barthélémy & Francois des Rosiers, 2017. "Market heterogeneity and the determinants of Paris apartment prices: A quantile regression approach," Urban Studies, Urban Studies Journal Limited, vol. 54(14), pages 3260-3280, November.
    8. De Witte, Kristof & Geys, Benny & Solondz, Catharina, 2014. "Public expenditures, educational outcomes and grade inflation: Theory and evidence from a policy intervention in the Netherlands," Economics of Education Review, Elsevier, vol. 40(C), pages 152-166.
    9. Christian Manuel Posso, 2010. "Calidad del empleo y segmentación laboral: un análisis para el mercado laboral colombiano 2001-2006," Revista Desarrollo y Sociedad, Universidad de los Andes,Facultad de Economía, CEDE, February.
    10. Peracchi, Franco, 2002. "On estimating conditional quantiles and distribution functions," Computational Statistics & Data Analysis, Elsevier, vol. 38(4), pages 433-447, February.
    11. Narula, Subhash C. & Wellington, John F. & Lewis, Stephen A., 2012. "Valuating residential real estate using parametric programming," European Journal of Operational Research, Elsevier, vol. 217(1), pages 120-128.
    12. Robert D. J. Anderson, 2008. "US Consumer Inflation Expectations: Evidence Regarding Learning, Accuracy and Demographics," Centre for Growth and Business Cycle Research Discussion Paper Series 99, Economics, The University of Manchester.
    13. Pedro Telhado Pereira & Pedro Silva Martins, 2000. "Does education reduce wage inequality? Quantile regressions evidence from fifteen European countries," Nova SBE Working Paper Series wp379, Universidade Nova de Lisboa, Nova School of Business and Economics.
    14. Calsamiglia, Caterina & Loviglio, Annalisa, 2019. "Grading on a curve: When having good peers is not good," Economics of Education Review, Elsevier, vol. 73(C).
    15. Machado, Jose A. F. & Silva, J. M. C. Santos, 2000. "Glejser's test revisited," Journal of Econometrics, Elsevier, vol. 97(1), pages 189-202, July.
    16. Agbeyegbe, Terence D., 2015. "An inverted U-shaped crude oil price return-implied volatility relationship," Review of Financial Economics, Elsevier, vol. 27(C), pages 28-45.
    17. Wang, Wen & Lien, Donald, 2018. "Union membership, union coverage and wage dispersion of rural migrants: Evidence from Suzhou industrial sector," China Economic Review, Elsevier, vol. 49(C), pages 96-113.
    18. Gaglianone, Wagner Piazza & Lima, Luiz Renato & Linton, Oliver & Smith, Daniel R., 2011. "Evaluating Value-at-Risk Models via Quantile Regression," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(1), pages 150-160.
    19. Moshe Buchinsky, 1998. "Recent Advances in Quantile Regression Models: A Practical Guideline for Empirical Research," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 88-126.
    20. Tanya O’Garra & Susana Mourato, 2007. "Public Preferences for Hydrogen Buses: Comparing Interval Data, OLS and Quantile Regression Approaches," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 36(4), pages 389-411, April.

    More about this item

    Keywords

    Enseñanza; incentivos a la educación; exigencia en calificación;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

    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:000089:002414. 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: Universidad De Los Andes-Cede (email available below). General contact details of provider: https://edirc.repec.org/data/ceandco.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.