~/talk

Expectations-Based Loss Aversion May Help Explain...

Talkat Information Design and Data Science 2019 · 2019-10-01..10-03
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slides:none on file

Claim: expectations-based loss aversion explains why many people submit seemingly dominated rankings in strategy-proof matching (deferred acceptance / serial dictatorship). Methods: simple reference-dependent theory + reanalysis of a lab dataset (serial dictatorship lab (72 subjects, 10 rounds = 720 obs)) and likelihood estimation. Findings: 19–45% misreport in surveyed studies, 29% misreports in the analyzed data (39% at lowest priority), estimated lambda ≈ 2, and a likelihood ratio ~10^7 favoring the loss‑averse model over classical preferences.

AI-written summary · about

  1. 0:00Introduction
  2. 0:45Deferred Acceptance
  3. 2:30Uncomfortable Evidence
  4. 3:40Project Description
  5. 5:20Presentation Outline
  6. 8:57Symbolic Value
  7. 10:47Evidence
  8. 13:41Example
  9. 14:27Misrepresentation
  10. 24:15To School Example
  11. 28:04To Experiment
  12. 33:49To Example
  13. 43:41Conclusion
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