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Sample Selectivity and the Validity of International Student Achievement Tests in Economic Research

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  • Eric A. Hanushek
  • Ludger Woessmann

Abstract

Critics of international student comparisons argue that results may be influenced by differences in the extent to which countries adequately sample their entire student populations. In this research note, we show that larger exclusion and non-response rates are related to better country average scores on international tests, as are larger enrollment rates for the relevant age group. However, accounting for sample selectivity does not alter existing research findings that tested academic achievement can account for a majority of international differences in economic growth and that institutional features of school systems have important effects on international differences in student achievement.

Suggested Citation

  • Eric A. Hanushek & Ludger Woessmann, 2010. "Sample Selectivity and the Validity of International Student Achievement Tests in Economic Research," NBER Working Papers 15867, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:15867
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    References listed on IDEAS

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    1. Eric Hanushek & Ludger Woessmann, 2012. "Do better schools lead to more growth? Cognitive skills, economic outcomes, and causation," Journal of Economic Growth, Springer, vol. 17(4), pages 267-321, December.
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    Cited by:

    1. Ludger Woessmann, 2016. "The Importance of School Systems: Evidence from International Differences in Student Achievement," Journal of Economic Perspectives, American Economic Association, vol. 30(3), pages 3-32, Summer.
    2. Eric Hanushek & Ludger Woessmann, 2012. "Do better schools lead to more growth? Cognitive skills, economic outcomes, and causation," Journal of Economic Growth, Springer, vol. 17(4), pages 267-321, December.
    3. 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.
    4. Muñoz, Juan Sebastián, 2018. "The economics behind the math gender gap: Colombian evidence on the role of sample selection," Journal of Development Economics, Elsevier, vol. 135(C), pages 368-391.
    5. Hanushek, Eric A. & Woessmann, Ludger, 2011. "Sample selectivity and the validity of international student achievement tests in economic research," Economics Letters, Elsevier, vol. 110(2), pages 79-82, February.
    6. Kaarsen, Nicolai, 2014. "Cross-country differences in the quality of schooling," Journal of Development Economics, Elsevier, vol. 107(C), pages 215-224.
    7. Hendrik van Broekhuizen & Dieter von Fintel, 2010. "Who Responds to Voluntary Cognitive Tests in Household Surveys? The Role of Labour Market Status, Respondent Confidence, Motivation and a Culture of Learning in South Africa," Working Papers 27/2010, Stellenbosch University, Department of Economics.
    8. Jakubowski, Maciej & Pokropek, Artur, 2015. "Reading achievement progress across countries," International Journal of Educational Development, Elsevier, vol. 45(C), pages 77-88.
    9. Veruska Oppedisano & Gilberto Turati, 2015. "What are the causes of educational inequality and of its evolution over time in Europe? Evidence from PISA," Education Economics, Taylor & Francis Journals, vol. 23(1), pages 3-24, February.
    10. Balart, Pau & Oosterveen, Matthijs & Webbink, Dinand, 2018. "Test scores, noncognitive skills and economic growth," Economics of Education Review, Elsevier, vol. 63(C), pages 134-153.
    11. Lyubov Babich & Aleksandra Shabunova & Galina Belekhova, 2017. "Economic Modernization, Human Capital and Smart-Learning Technology," MIC 2017: Managing the Global Economy; Proceedings of the Joint International Conference, Monastier di Treviso, Italy, 24–27 May 2017,, University of Primorska Press.
    12. Onil Boussim, 2023. "Testing and correcting sample selection in academic achievement comparisons," Papers 2309.10642, arXiv.org, revised Oct 2023.
    13. Haizheng Li & Junzi He & Qinyi Liu & Barbara M. Fraumeni & Xiang Zheng, 2016. "Regional Distribution and Dynamics of Human Capital in China 1985-2014: Education, Urbanization, and Aging of the Population," NBER Working Papers 22906, National Bureau of Economic Research, Inc.
    14. Amaghouss, Jabrane & Ibourk, Aomar, 2019. "Higher Education and Economic Growth: A Comparative Analysis of World Regions Trajectories," Economia Internazionale / International Economics, Camera di Commercio Industria Artigianato Agricoltura di Genova, vol. 72(3), pages 321-350.

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    More about this item

    JEL classification:

    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • H4 - Public Economics - - Publicly Provided Goods
    • I20 - Health, Education, and Welfare - - Education - - - General
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General

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