Triply Robust Panel (TROP) estimator: weighted TWFE with optional low-rank adjustment.
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.
Links
- Documentation: https://ostasovskyi.github.io/TROP-Estimator/
- Source code: https://github.com/ostasovskyi/TROP-Estimator
Installation
pip install trop
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file trop-0.1.8.tar.gz.
File metadata
- Download URL: trop-0.1.8.tar.gz
- Upload date:
- Size: 10.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
75144accba53565f35f64d82ae7bddb5597f1e10611ba8318f6ad773d0790f24
|
|
| MD5 |
c7d57b7ffee4477fd2c978d4231547c2
|
|
| BLAKE2b-256 |
e6a6fce23cdaa89d25264886f5b8ce3d0f68d68c0560d93b5c50950e6a4a04b5
|
File details
Details for the file trop-0.1.8-py3-none-any.whl.
File metadata
- Download URL: trop-0.1.8-py3-none-any.whl
- Upload date:
- Size: 10.2 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.11.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
d8510e7a46dd58b67eefbd36ff9962e5714b2961bc6466e99741aadbbba150d9
|
|
| MD5 |
0ffe33b919ecc682cbd2b2e6510be8fb
|
|
| BLAKE2b-256 |
2005755f38f26c115f1277396138435861fc287b00af7e2a0348c06be1b9baf6
|
