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Decision Theory for the Archetype Discovery Problem

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Listed:
  • Jos'e Luis Montiel Olea
  • Amilcar Velez
  • Zhuoheng Xu
  • Haomin Yu
  • Shunqi Zhang

Abstract

In the archetype discovery problem a researcher wants to summarize N heterogeneous policy effects of interest that vary over a discrete set of covariates. The goal is to partition the set of covariates into K

Suggested Citation

  • Jos'e Luis Montiel Olea & Amilcar Velez & Zhuoheng Xu & Haomin Yu & Shunqi Zhang, 2026. "Decision Theory for the Archetype Discovery Problem," Papers 2606.15002, arXiv.org.
    • Handle: RePEc:arx:papers:2606.15002
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    References listed on IDEAS

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    1. Stéphane Bonhomme & Thibaut Lamadon & Elena Manresa, 2019. "A Distributional Framework for Matched Employer Employee Data," Econometrica, Econometric Society, vol. 87(3), pages 699-739, May.
    2. Victor Chernozhukov & Mert Demirer & Esther Duflo & Iván Fernández-Val, 2018. "Generic Machine Learning Inference on Heterogeneous Treatment Effects in Randomized Experiments, with an Application to Immunization in India," NBER Working Papers 24678, National Bureau of Economic Research, Inc.
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