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Do Tests Applied to Teachers Predict their Effectiveness?

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  • Cruz-Aguayo, Yyannu
  • Ibarrarán, Pablo
  • Schady, Norbert

Abstract

Teachers vary considerably in their effectiveness, but identifying teacher characteristics that predict their impact on learning outcomes has been elusive. We analyze a teacher evaluation that is used to make teacher tenure decisions in Ecuador. The evaluation includes a written test, a demonstration class, and a points system that gives higher scores to teachers with more experience, degrees, and in-service training. We find no evidence that children taught by teachers with higher scores on the evaluation learn more. Our estimates are very precise: We can rule out that teachers with one-standard deviation higher evaluation scores raise child test scores in math by 0.03 standard deviations or more, and language scores by 0.02 standard deviations or more. We conclude that the effort that is being placed by policy-makers in Latin America to design and “improve” teacher tests is unlikely to result in large improvements in child learning.

Suggested Citation

  • Cruz-Aguayo, Yyannu & Ibarrarán, Pablo & Schady, Norbert, 2017. "Do Tests Applied to Teachers Predict their Effectiveness?," IDB Publications (Working Papers) 8445, Inter-American Development Bank.
  • Handle: RePEc:idb:brikps:8445
    DOI: http://dx.doi.org/10.18235/0000763
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    1. M. Caridad Araujo & Pedro Carneiro & Yyannú Cruz-Aguayo & Norbert Schady, 2016. "Teacher Quality and Learning Outcomes in Kindergarten," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(3), pages 1415-1453.
    2. Raj Chetty & John N. Friedman & Nathaniel Hilger & Emmanuel Saez & Diane Whitmore Schanzenbach & Danny Yagan, 2011. "How Does Your Kindergarten Classroom Affect Your Earnings? Evidence from Project Star," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(4), pages 1593-1660.
    3. Raj Chetty & John N. Friedman & Jonah E. Rockoff, 2014. "Measuring the Impacts of Teachers I: Evaluating Bias in Teacher Value-Added Estimates," American Economic Review, American Economic Association, vol. 104(9), pages 2593-2632, September.
    4. Raj Chetty & John N. Friedman & Jonah E. Rockoff, 2014. "Measuring the Impacts of Teachers II: Teacher Value-Added and Student Outcomes in Adulthood," American Economic Review, American Economic Association, vol. 104(9), pages 2633-2679, September.
    5. M. Caridad Araujo & Pedro Carneiro & Yyannú Cruz-Aguayo & Norbert Schady, 2016. "Teacher Quality and Learning Outcomes in Kindergarten," The Quarterly Journal of Economics, Oxford University Press, vol. 131(3), pages 1415-1453.
    6. Christina Paxson & Norbert Schady, 2007. "Cognitive Development among Young Children in Ecuador: The Roles of Wealth, Health, and Parenting," Journal of Human Resources, University of Wisconsin Press, vol. 42(1).
    7. Hanushek, Eric A. & Woessmann, Ludger, 2012. "Schooling, educational achievement, and the Latin American growth puzzle," Journal of Development Economics, Elsevier, vol. 99(2), pages 497-512.
    8. Douglas O. Staiger & Jonah E. Rockoff, 2010. "Searching for Effective Teachers with Imperfect Information," Journal of Economic Perspectives, American Economic Association, vol. 24(3), pages 97-118, Summer.
    9. Christina Paxson & Norbert Schady, 2010. "Does Money Matter? The Effects of Cash Transfers on Child Development in Rural Ecuador," Economic Development and Cultural Change, University of Chicago Press, vol. 59(1), pages 187-229, October.
    10. Eric A. Hanushek & Steven G. Rivkin, 2012. "The Distribution of Teacher Quality and Implications for Policy," Annual Review of Economics, Annual Reviews, vol. 4(1), pages 131-157, July.
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    Cited by:

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    2. Araujo, Maria Daniela & Heineck, Guido & Cruz Aguayo, Yyannu, 2020. "Does Test-Based Teacher Recruitment Work in the Developing World? Experimental Evidence from Ecuador," IZA Discussion Papers 13830, Institute of Labor Economics (IZA).
    3. Evans, David K. & Yuan, Fei & Filmer, Deon, 2022. "Teacher pay in Africa: Evidence from 15 countries," World Development, Elsevier, vol. 155(C).
    4. Henriques, C.O. & Chavez, J.M. & Gouveia, M.C. & Marcenaro-Gutierrez, O.D., 2022. "Efficiency of secondary schools in Ecuador: A value based DEA approach," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).
    5. Lee Crawfurd & Todd Pugatch, 2020. "Teacher Labor Markets in Developing Countries," Working Papers 546, Center for Global Development.
    6. Escribano, Rosario & Treviño, Ernesto & Nussbaum, Miguel & Torres Irribarra, David & Carrasco, Diego, 2020. "How much does the quality of teaching vary at under-performing schools? Evidence from classroom observations in Chile," International Journal of Educational Development, Elsevier, vol. 72(C).
    7. Filmer,Deon P. & Nahata,Vatsal & Sabarwal,Shwetlena, 2021. "Preparation, Practice, and Beliefs : A Machine Learning Approach to Understanding Teacher Effectiveness," Policy Research Working Paper Series 9847, The World Bank.
    8. Busso, Matias & Montaño, Sebastián & Muñoz-Morales, Juan S. & Pope, Nolan G., 2024. "The Unintended Consequences of Merit-Based Teacher Selection: Evidence from a Large-Scale Reform in Colombia," IZA Discussion Papers 17294, Institute of Labor Economics (IZA).

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    More about this item

    Keywords

    Teacher effectiveness; teacher evaluation;

    JEL classification:

    • I25 - Health, Education, and Welfare - - Education - - - Education and Economic Development
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy

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