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Most Brazilians Don't Back Lotteries to Allocate Public Housing

🔍 Why Lotteries Are Considered

Lotteries are often proposed to allocate government benefits when demand outstrips supply: they can be simple, impartial, and can enable rigorous impact evaluations. Yet public acceptance of using lotteries for real-world beneficiary selection is not well understood.

🏙️ What This Study Looks At

This study examines public support for using a lottery to select recipients of newly built government housing units in Brazil.

🧩 How Support Was Measured

  • A three-pronged, mixed-method design:
  • Quasi-experimental analysis of an original survey of lottery applicants (winners vs. non-winners).
  • In-depth interviews with applicants to probe perceptions of fairness and deservingness.
  • A nationally oriented survey experiment presenting lotteries versus alternative selection methods to the general public.

📊 Key Findings

  • Overall support for lotteries was limited: neither lottery participants nor the general public showed strong backing for using lotteries to allocate housing.
  • Within the applicant pool, support was noticeably higher among winners than among non-winners, indicating self-interest shapes attitudes toward lotteries.
  • Interviewed applicants frequently argued that lotteries fail to identify the most deserving beneficiaries, raising legitimacy concerns.
  • In the general population experiment, lotteries were viewed as less just and less efficient compared with alternative beneficiary-selection methods.

⚖️ Why It Matters

Lotteries can be normatively attractive and useful for evaluating program impacts, but this research finds constrained popular support in a real policy context. Policymakers considering lotteries for oversubscribed programs should weigh procedural simplicity and evaluative value against perceptions of fairness and public legitimacy.

Comparative Political Studies
Benefits by Luck: A Study of Lotteries as a Selection Method for Government Programs was authored by Cesar Zucco, Natalia Bueno and Felipe Nunes. It was published in CPS in 2024. Find on Google Scholar10.1177/00104140241290203
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