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Does learning longer improve student achievement? Evidence from online education of graduating students in a high school during COVID-19 period

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  • Zhang, Yue
  • Zhao, Guochang
  • Zhou, Bo

Abstract

This paper examines the effect of online learning time on graduating students' test scores in a senior high school. Decisions regarding online education, including those related to participation and learning hours, are endogenous due to both reverse causality and omitted variables. This paper is the result of the natural experiment of the outbreak of COVID-19, which made every student to participate in online education when the spring semester began. In addition, this paper uses a value-added model controlling for the scores that preceded online education, which is a sufficient statistic of students' unobserved ability and motivation. If this cannot completely eliminate the endogeneity problem, it should be able to largely alleviate the problem. The results indicate that: online education has positive but limited impacts on test scores on average, particularly those in the subject of math within the natural sciences track; top-tier students are most positively affected by online education; and the benefits of online education vary among students with different backgrounds. The quantile regression suggests that a 10% increase in online education time raises math test scores by more than 0.25 for the students between the 0.60th and 0.80th quantiles. Surprisingly, it is evident that online learning time has a significant negative effect for some students in certain subjects. Finally, online education neither widens nor narrows the inequality of students' test scores.

Suggested Citation

  • Zhang, Yue & Zhao, Guochang & Zhou, Bo, 2021. "Does learning longer improve student achievement? Evidence from online education of graduating students in a high school during COVID-19 period," China Economic Review, Elsevier, vol. 70(C).
    • Handle: RePEc:eee:chieco:v:70:y:2021:i:c:s1043951x21001097
    DOI: 10.1016/j.chieco.2021.101691
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    1. Huebener, Mathias & Kuger, Susanne & Marcus, Jan, 2017. "Increased instruction hours and the widening gap in student performance," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 47, pages 15-34.
    2. Maria A. Cattaneo & Chantal Oggenfuss & Stefan C. Wolter, 2017. "The more, the better? The impact of instructional time on student performance," Education Economics, Taylor & Francis Journals, vol. 25(5), pages 433-445, September.
    3. Jo Blanden, 2004. "Family Income and Educational Attainment: A Review of Approaches and Evidence for Britain," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 20(2), pages 245-263, Summer.
    4. Byron W. Brown & Carl E. Liedholm, 2002. "Can Web Courses Replace the Classroom in Principles of Microeconomics?," American Economic Review, American Economic Association, vol. 92(2), pages 444-448, May.
    5. Eric A. Hanushek, 1979. "Conceptual and Empirical Issues in the Estimation of Educational Production Functions," Journal of Human Resources, University of Wisconsin Press, vol. 14(3), pages 351-388.
    6. Steven G. Rivkin & Jeffrey C. Schiman, 2015. "Instruction Time, Classroom Quality, and Academic Achievement," Economic Journal, Royal Economic Society, vol. 125(588), pages 425-448, November.
    7. Victor Lavy, 2015. "Do Differences in Schools' Instruction Time Explain International Achievement Gaps? Evidence from Developed and Developing Countries," Economic Journal, Royal Economic Society, vol. 125(588), pages 397-424, November.
    8. Dennis Coates, 2003. "Education production functions using instructional time as an input," Education Economics, Taylor & Francis Journals, vol. 11(3), pages 273-292.
    9. Grossman, Michael, 2000. "The human capital model," Handbook of Health Economics, in: A. J. Culyer & J. P. Newhouse (ed.), Handbook of Health Economics, edition 1, volume 1, chapter 7, pages 347-408, Elsevier.
    10. Sergio Firpo & Nicole M. Fortin & Thomas Lemieux, 2009. "Unconditional Quantile Regressions," Econometrica, Econometric Society, vol. 77(3), pages 953-973, May.
    11. 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.
    12. Carlana, Michela & La Ferrara, Eliana, 2021. "Apart but Connected: Online Tutoring and Student Outcomes during the COVID-19 Pandemic," CEPR Discussion Papers 15761, C.E.P.R. Discussion Papers.
    13. Kapasia, Nanigopal & Paul, Pintu & Roy, Avijit & Saha, Jay & Zaveri, Ankita & Mallick, Rahul & Barman, Bikash & Das, Prabir & Chouhan, Pradip, 2020. "Impact of lockdown on learning status of undergraduate and postgraduate students during COVID-19 pandemic in West Bengal, India," Children and Youth Services Review, Elsevier, vol. 116(C).
    14. Brown, Byron W. & Saks, Daniel H., 1987. "The microeconomics of the allocation of teachers' time and student learning," Economics of Education Review, Elsevier, vol. 6(4), pages 319-332, August.
    15. Fernando Rios-Avila, 2020. "Recentered influence functions (RIFs) in Stata: RIF regression and RIF decomposition," Stata Journal, StataCorp LP, vol. 20(1), pages 51-94, March.
    16. Figlio, David & Holden, Kristian L. & Ozek, Umut, 2018. "Do students benefit from longer school days? Regression discontinuity evidence from Florida's additional hour of literacy instruction," Economics of Education Review, Elsevier, vol. 67(C), pages 171-183.
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    Cited by:

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    2. Yu Sun & Jon-Chao Hong & Jian-Hong Ye & Jhen-Ni Ye, 2023. "Satisfaction with Online Study Abroad Predicted by Motivation and Self-Efficacy: A Perspective Based on the Situated Expectancy–Value Theory during the COVID-19 Epidemic," Sustainability, MDPI, vol. 15(5), pages 1-15, February.
    3. Zhengyan Liang & Qing Zeng & Minqiang Zhang & Huijun Luo & Sijuan Huang & Jia Li & Da Yi, 2021. "How Course Support and Academic Support Impact on Chinese Graduate Students during the COVID-19: The Multiple Mediating Roles of Thesis Writing and Anxiety," IJERPH, MDPI, vol. 19(1), pages 1-12, December.

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    More about this item

    Keywords

    Online education; Schooling achievement; Learning time; COVID-19;
    All these keywords.

    JEL classification:

    • I20 - Health, Education, and Welfare - - Education - - - General
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

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