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Laptops in the long run: Evidence from the one laptop per child program in rural Peru

Author

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  • Cueto, Santiago
  • Beuermann, Diether W.
  • Cristia, Julian
  • Malamud, Ofer
  • Pardo, Francisco

Abstract

This paper examines a large-scale randomized evaluation of the One Laptop Per Child (OLPC) program in 531 Peruvian rural primary schools. We use administrative data on academic performance and grade progression over 10 years to estimate the long-run effects of increased computer access on (i) school performance over time and (ii) students’ educational trajectories. Following schools over time, we find no significant effects on academic performance but some evidence of negative effects on grade progression. Following students over time, we find no significant effects on primary and secondary completion, academic performance in secondary school, or university enrollment. Survey data indicate that computer access significantly improved students’ computer skills but not their cognitive skills; treated teachers received some training but did not improve their digital skills and showed limited use of technology in classrooms, suggesting the need for additional pedagogical support.

Suggested Citation

  • Cueto, Santiago & Beuermann, Diether W. & Cristia, Julian & Malamud, Ofer & Pardo, Francisco, 2025. "Laptops in the long run: Evidence from the one laptop per child program in rural Peru," Journal of Public Economics, Elsevier, vol. 252(C).
    • Handle: RePEc:eee:pubeco:v:252:y:2025:i:c:s0047272725002373
    DOI: 10.1016/j.jpubeco.2025.105538
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    1. Yoav Benjamini & Abba M. Krieger & Daniel Yekutieli, 2006. "Adaptive linear step-up procedures that control the false discovery rate," Biometrika, Biometrika Trust, vol. 93(3), pages 491-507, September.
    2. Anderson, Michael L., 2008. "Multiple Inference and Gender Differences in the Effects of Early Intervention: A Reevaluation of the Abecedarian, Perry Preschool, and Early Training Projects," Journal of the American Statistical Association, American Statistical Association, vol. 103(484), pages 1481-1495.
    3. Miriam Bruhn & David McKenzie, 2009. "In Pursuit of Balance: Randomization in Practice in Development Field Experiments," American Economic Journal: Applied Economics, American Economic Association, vol. 1(4), pages 200-232, October.
    4. Fang Lai & Linxiu Zhang & Xiao Hu & Qinghe Qu & Yaojiang Shi & Yajie Qiao & Matthew Boswell & Scott Rozelle, 2013. "Computer assisted learning as extracurricular tutor? Evidence from a randomised experiment in rural boarding schools in Shaanxi," Journal of Development Effectiveness, Taylor & Francis Journals, vol. 5(2), pages 208-231, June.
    5. Abhijit V. Banerjee & Shawn Cole & Esther Duflo & Leigh Linden, 2007. "Remedying Education: Evidence from Two Randomized Experiments in India," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(3), pages 1235-1264.
    6. Di Mo & Linxiu Zhang & Renfu Luo & Qinghe Qu & Weiming Huang & Jiafu Wang & Yajie Qiao & Matthew Boswell & Scott Rozelle, 2014. "Integrating computer-assisted learning into a regular curriculum: evidence from a randomised experiment in rural schools in Shaanxi," Journal of Development Effectiveness, Taylor & Francis Journals, vol. 6(3), pages 300-323, September.
    7. Victor Chernozhukov & Mert Demirer & Esther Duflo & Iván Fernández‐Val, 2025. "Fisher–Schultz Lecture: Generic Machine Learning Inference on Heterogeneous Treatment Effects in Randomized Experiments, With an Application to Immunization in India," Econometrica, Econometric Society, vol. 93(4), pages 1121-1164, July.
    8. Karthik Muralidharan & Abhijeet Singh & Alejandro J. Ganimian, 2019. "Disrupting Education? Experimental Evidence on Technology-Aided Instruction in India," American Economic Review, American Economic Association, vol. 109(4), pages 1426-1460, April.
    9. Julian Cristia & Pablo Ibarrarán & Santiago Cueto & Ana Santiago & Eugenio Severín, 2017. "Technology and Child Development: Evidence from the One Laptop per Child Program," American Economic Journal: Applied Economics, American Economic Association, vol. 9(3), pages 295-320, July.
    10. Malamud, Ofer & Cueto, Santiago & Cristia, Julian & Beuermann, Diether W., 2019. "Do children benefit from internet access? Experimental evidence from Peru," Journal of Development Economics, Elsevier, vol. 138(C), pages 41-56.
    11. Mo, Di & Swinnen, Johan & Zhang, Linxiu & Yi, Hongmei & Qu, Qinghe & Boswell, Matthew & Rozelle, Scott, 2013. "Can One-to-One Computing Narrow the Digital Divide and the Educational Gap in China? The Case of Beijing Migrant Schools," World Development, Elsevier, vol. 46(C), pages 14-29.
    12. Araya, Roberto & Arias Ortiz, Elena & Bottan, Nicolas L. & Cristia, Julian P., 2019. "Does Gamification in Education Work?: Experimental Evidence from Chile," IDB Publications (Working Papers) 9697, Inter-American Development Bank.
    13. Berlinski, Samuel & Busso, Matias, 2017. "Challenges in educational reform: An experiment on active learning in mathematics," Economics Letters, Elsevier, vol. 156(C), pages 172-175.
    14. Jeffrey R Kling & Jeffrey B Liebman & Lawrence F Katz, 2007. "Experimental Analysis of Neighborhood Effects," Econometrica, Econometric Society, vol. 75(1), pages 83-119, January.
    15. Leah K. Lakdawala & Eduardo Nakasone & Kevin Kho, 2023. "Dynamic Impacts of School-Based Internet Access on Student Learning: Evidence from Peruvian Public Primary Schools," American Economic Journal: Economic Policy, American Economic Association, vol. 15(4), pages 222-254, November.
    16. Konstantin Büchel & Martina Jakob & Christoph Kühnhanss & Daniel Steffen & Aymo Brunetti, 2022. "The Relative Effectiveness of Teachers and Learning Software: Evidence from a Field Experiment in El Salvador," Journal of Labor Economics, University of Chicago Press, vol. 40(3), pages 737-777.
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    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I25 - Health, Education, and Welfare - - Education - - - Education and Economic Development

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