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Diagnostic Feedback under Hidden Task Difficulty

Author

Listed:
  • Mark Izgarshev

    (School number 1239, Moscow)

  • Georgy Lukyanov

    (TSE-R - Toulouse School of Economics - UT Capitole - Université Toulouse Capitole - Comue de Toulouse - Communauté d'universités et établissements de Toulouse - EHESS - École des hautes études en sciences sociales - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement)

Abstract

An assessment is meant to tell an agent about herself, but its purchase can reveal the task. An evaluator privately observes task difficulty and may publicly purchase an ability diagnostic before effort. With crossing returns across task-ability pairs, adoption and the result jointly shape effort. When high ability is common, difficult tasks are rare, and diagnostic cost is intermediate, an equilibrium refinement uniquely selects diagnosis on the difficult task. Neither type diagnoses when difficulty is public or adoption cannot depend on it. Thus hidden difficulty can produce information about the agent. The mechanism survives continuous effort and imperfect diagnostics.

Suggested Citation

  • Mark Izgarshev & Georgy Lukyanov, 2026. "Diagnostic Feedback under Hidden Task Difficulty," Working Papers hal-05319200, HAL.
    • Handle: RePEc:hal:wpaper:hal-05319200
    Note: View the original document on HAL open archive server: https://hal.science/hal-05319200v2
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    File URL: https://hal.science/hal-05319200v2/document
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