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Heterogeneous participation and allocation skews: when is choice "worth it"?

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  • Nikhil Garg

Abstract

A core ethos of the Economics and Computation (EconCS) community is that people have complex private preferences and information of which the central planner is unaware, but which an appropriately designed mechanism can uncover to improve collective decisionmaking. This ethos underlies the community's largest deployed success stories, from stable matching systems to participatory budgeting. I ask: is this choice and information aggregation ``worth it''? In particular, I discuss how such systems induce \textit{heterogeneous participation}: those already relatively advantaged are, empirically, more able to pay time costs and navigate administrative burdens imposed by the mechanisms. I draw on three case studies, including my own work -- complex democratic mechanisms, resident crowdsourcing, and school matching. I end with lessons for practice and research, challenging the community to help reduce participation heterogeneity and design and deploy mechanisms that meet a ``best of both worlds'' north star: \textit{use preferences and information from those who choose to participate, but provide a ``sufficient'' quality of service to those who do not.}

Suggested Citation

  • Nikhil Garg, 2025. "Heterogeneous participation and allocation skews: when is choice "worth it"?," Papers 2507.03600, arXiv.org.
  • Handle: RePEc:arx:papers:2507.03600
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    References listed on IDEAS

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    1. Atila Abdulkadiroğlu & Parag A. Pathak & Alvin E. Roth, 2005. "The New York City High School Match," American Economic Review, American Economic Association, vol. 95(2), pages 364-367, May.
    2. Canice Prendergast, 2017. "How Food Banks Use Markets to Feed the Poor," Journal of Economic Perspectives, American Economic Association, vol. 31(4), pages 145-162, Fall.
    3. Alvin E. Roth, 2002. "The Economist as Engineer: Game Theory, Experimentation, and Computation as Tools for Design Economics," Econometrica, Econometric Society, vol. 70(4), pages 1341-1378, July.
    4. Nikhil Garg & Ramesh Johari, 2021. "Designing Informative Rating Systems: Evidence from an Online Labor Market," Manufacturing & Service Operations Management, INFORMS, vol. 23(3), pages 589-605, May.
    5. Kloosterman, Andrew & Troyan, Peter, 2020. "School choice with asymmetric information: priority design and the curse of acceptance," Theoretical Economics, Econometric Society, vol. 15(3), July.
    6. Peng Shi, 2015. "Guiding School-Choice Reform through Novel Applications of Operations Research," Interfaces, INFORMS, vol. 45(2), pages 117-132, April.
    7. Iuliia Shybalkina & Robert Bifulco, 2019. "Does Participatory Budgeting Change the Share of Public Funding to Low Income Neighborhoods?," Public Budgeting & Finance, Wiley Blackwell, vol. 39(1), pages 45-66, March.
    8. Juan C. Perdomo & Tolani Britton & Moritz Hardt & Rediet Abebe, 2023. "Difficult Lessons on Social Prediction from Wisconsin Public Schools," Papers 2304.06205, arXiv.org, revised Sep 2023.
    9. Nikhil Agarwal & Paulo Somaini, 2018. "Demand Analysis Using Strategic Reports: An Application to a School Choice Mechanism," Econometrica, Econometric Society, vol. 86(2), pages 391-444, March.
    10. Itai Ashlagi & Alvin E. Roth, 2021. "Kidney Exchange: An Operations Perspective," Management Science, INFORMS, vol. 67(9), pages 5455-5478, September.
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