Triply Robust Panel (TROP) estimator: weighted TWFE with optional low-rank adjustment.

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  • License Expression: MIT
    SPDX License Expression
  • Author: Susan Athey, Guido Imbens, Zhaonan Qu, Davide Viviano
  • Tags causal-inference , panel-data , factor-models , difference-in-differences , synthetic-control , synthetic-controls , trop , twfe
  • Requires: Python >=3.9
  • Provides-Extra: dev
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Project description

TROP: Triply Robust Panel Estimator

trop is a Python package implementing the Triply Robust Panel (TROP) estimator for average treatment effects (ATEs) in panel data. The core estimator is expressed as a weighted two-way fixed effects (TWFE) objective, with an optional low-rank regression adjustment via a nuclear-norm penalty.

Reference:

Susan Athey, Guido Imbens, Zhaonan Qu, Davide Viviano (2025).
Triply Robust Panel Estimators.
arXiv:2508.21536.

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pip install trop

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Avatar for megannding from gravatar.com megannding Avatar for ostasovskyi from gravatar.com ostasovskyi Avatar for xuelinyang from gravatar.com xuelinyang Avatar for zhaonanq from gravatar.com zhaonanq

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License Expression: MIT
    SPDX License Expression
  • Author: Susan Athey, Guido Imbens, Zhaonan Qu, Davide Viviano
  • Tags causal-inference , panel-data , factor-models , difference-in-differences , synthetic-control , synthetic-controls , trop , twfe
  • Requires: Python >=3.9
  • Provides-Extra: dev
Classifiers

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