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Targeted incentives, broad impacts: Evidence from an E-commerce platform

Author

Listed:
  • Xiang Hui

    (Washington University)

  • Meng Liu

    (Washington University)

  • Tat Chan

    (Washington University)

Abstract

Digital platforms sometimes offer incentives to a subset of sellers to nudge behavior, possibly affecting the behavior of all sellers in the equilibrium. In this paper, we study a policy change on a large e-commerce platform that offers financial incentives only to platform-certified sellers when they provide fast handling and generous return policies on their listings. We find that both targeted and non-targeted sellers become more likely to adopt the promoted behavior after the policy change. Exploiting a large number of markets on the platform, we find that in markets with a larger proportion of the targeted population—hence more affected by the policy change—non-targeted sellers are more likely to adopt the promoted behavior and experience a larger increase in sales and equilibrium prices. This finding is consistent with our key insight that a targeted incentive may increase demand for non-targeted sellers when both platform certificates and the promoted behaviors are quality signals. Our results have implications for digital platforms that use targeted incentives.

Suggested Citation

  • Xiang Hui & Meng Liu & Tat Chan, 2023. "Targeted incentives, broad impacts: Evidence from an E-commerce platform," Quantitative Marketing and Economics (QME), Springer, vol. 21(4), pages 493-517, December.
  • Handle: RePEc:kap:qmktec:v:21:y:2023:i:4:d:10.1007_s11129-023-09267-8
    DOI: 10.1007/s11129-023-09267-8
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