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Too Close to Use: Social visibility, stigma, and the paradox of learning support programs

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  • Shinsuke ASAKAWA
  • Mayuko ABE
  • Fumio OHTAKE
  • Shinpei SANO
  • Kazuko NAKATA

Abstract

This study identified a paradoxical phenomenon in learning support programs for low-income household children: while these programs effectively enhance skills, proximity to home hinders participation. Using an administrative panel dataset from Amagasaki City, Japan, we estimated a probit model to analyze participatory behavior, and employed a treatment effect model to evaluate the program's impact on skill development and its underlying mechanisms. Our findings are twofold. First, locating classrooms within a student’s own school district significantly reduces the probability of participation. This is not due to physical distance but rather “welfare stigma,” as children fear their socioeconomic status becoming known to classmates. Second, while no average effect was found across all participants, students with high attendance and long-term participation showed significant increases in arithmetic/mathematics and Japanese language scores, driven by an increase of study hours. These results reveal a critical policy trade-off: accessibility can inadvertently increase social visibility and discourage uptake.

Suggested Citation

  • Shinsuke ASAKAWA & Mayuko ABE & Fumio OHTAKE & Shinpei SANO & Kazuko NAKATA, 2026. "Too Close to Use: Social visibility, stigma, and the paradox of learning support programs," Discussion papers 26028, Research Institute of Economy, Trade and Industry (RIETI).
  • Handle: RePEc:eti:dpaper:26028
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    References listed on IDEAS

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    1. Kautz, Tim & Heckman, James J. & Diris, Ron & ter Weel, Bas & Borghans, Lex, 2014. "Fostering and Measuring Skills: Improving Cognitive and Non-Cognitive Skills to Promote Lifetime Success," IZA Discussion Papers 8696, IZA Network @ LISER.
    2. Keane, Michael P & Wolpin, Kenneth I, 1997. "The Career Decisions of Young Men," Journal of Political Economy, University of Chicago Press, vol. 105(3), pages 473-522, June.
    3. Will Dobbie & Roland G. Fryer, 2011. "Are High-Quality Schools Enough to Increase Achievement among the Poor? Evidence from the Harlem Children's Zone," American Economic Journal: Applied Economics, American Economic Association, vol. 3(3), pages 158-187, July.
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