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Successful Replication of "The Long-Run Effects of Sports Club Vouchers for Primary School Children (2022)"

Author

Listed:
  • Bacon, Felix
  • Bello, Abdel-Hamid
  • Brown, Myriam
  • Morris, Todd
  • Renée, Laëtitia
Abstract
Marcus, Siedler and Ziebarth (2022 American Economic Journal: Economic Policy) examine the long-run health effects of a universal sports-club voucher program that was introduced in Saxony for primary school children in 2009. In 2018, the authors designed a survey that targeted the affected cohorts and nearby cohorts in Saxony and two neighboring states, and use a differences-in-differences identification strategy that exploits variation across states and cohorts in policy exposure. The authors document that treated individuals have knowledge of the program and recall receiving and redeeming the vouchers at higher rates, but find no effects on any health outcomes or behaviors. We successfully reproduce the main results of the paper exactly using data available in the paper's replication package and new Stata and R code. We also verify the robustness of the results using different outcomes, different control variables, different sample restrictions and different inference methods.

Suggested Citation

  • Bacon, Felix & Bello, Abdel-Hamid & Brown, Myriam & Morris, Todd & Renée, Laëtitia, 2023. "Successful Replication of "The Long-Run Effects of Sports Club Vouchers for Primary School Children (2022)"," I4R Discussion Paper Series 46, The Institute for Replication (I4R).
    • Handle: RePEc:zbw:i4rdps:46
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    File URL: https://www.econstor.eu/bitstream/10419/273431/1/I4R-DP046.pdf
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    References listed on IDEAS

    as
    1. Jan Marcus & Thomas Siedler & Nicolas R. Ziebarth, 2022. "The Long-Run Effects of Sports Club Vouchers for Primary School Children," American Economic Journal: Economic Policy, American Economic Association, vol. 14(3), pages 128-165, August.
    2. James G. MacKinnon & Matthew D. Webb, 2018. "The wild bootstrap for few (treated) clusters," Econometrics Journal, Royal Economic Society, vol. 21(2), pages 114-135, June.
    3. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(1), pages 249-275.
    4. James G. MacKinnon & Matthew D. Webb, 2019. "Wild Bootstrap Randomization Inference for Few Treated Clusters," Advances in Econometrics, in: The Econometrics of Complex Survey Data, volume 39, pages 61-85, Emerald Group Publishing Limited.
    Full references (including those not matched with items on IDEAS)

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