py-econometrics/pyfixest

Add tests with `JIT=False` to add `numba`, `JAX` to coverage reports about 5 hours ago

help wanted infrastructure

335

Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax

Python

#econometrics#fixed-effects#regression

How to add customized model statistics in the table? about 2 months ago

docs good first issue question

py-econometrics/pyfixest

335

Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax

Python

#econometrics#fixed-effects#regression

Docs: Document Inference Defaults in `quickstart.ipynb` and docstrings about 2 months ago

docs good first issue

py-econometrics/pyfixest

335

Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax

Python

#econometrics#fixed-effects#regression

Feiv: Implement Method for Anderson-Rubin Test 4 months ago

enhancement good first issue sprint-march-2026

py-econometrics/pyfixest

335

Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax

Python

#econometrics#fixed-effects#regression

Translate Peng Ding's Linear Models book into pyfixest 7 months ago

enhancement help wanted good first issue good-issue-to-start

py-econometrics/pyfixest

335

Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax

Python

#econometrics#fixed-effects#regression

`i()` errors if the reference category contains some white space 7 months ago

bug enhancement good first issue

py-econometrics/pyfixest

335

Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax

Python

#econometrics#fixed-effects#regression

IV with multiple endogenous variables 7 months ago

help wanted good first issue

py-econometrics/pyfixest

335

Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax

Python

#econometrics#fixed-effects#regression

Replace aliasing in Feols methods 8 months ago

good first issue

py-econometrics/pyfixest

335

Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax

Python

#econometrics#fixed-effects#regression

Move logic from `conf_int` method to `confidence_intervals.py` 8 months ago

good first issue

py-econometrics/pyfixest

335

Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax

Python

#econometrics#fixed-effects#regression

Automatically compute F-Stat in `pf.feols()` calls 10 months ago

enhancement good first issue

py-econometrics/pyfixest

335

Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax

Python

#econometrics#fixed-effects#regression

Add support for Frequency For Decomposition 10 months ago

enhancement good first issue

py-econometrics/pyfixest

335

Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax

Python

#econometrics#fixed-effects#regression

Cannot distinguish the samples in `etable()` after using `split` or `fsplit` 10 months ago

enhancement good first issue

py-econometrics/pyfixest

335

Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax

Python

#econometrics#fixed-effects#regression

Add pf.quantreg to function reference 10 months ago

docs good first issue

py-econometrics/pyfixest

335

Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax

Python

#econometrics#fixed-effects#regression

Omnibus Test For Effect Heterogeneity 11 months ago

good first issue feature

py-econometrics/pyfixest

335

Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax

Python

#econometrics#fixed-effects#regression

Support Native Narwhals 12 months ago

AI Summary: Update the PyFixest package to utilize Formulaic's native narwhal support for improved performance and potentially offer native Polars DataFrame support for input and output. This involves modifying the model_matrix function to use narwhals syntax, removing pandas conversion steps, and updating the Formulaic dependency.

Complexity: 4/5

enhancement help wanted good first issue

py-econometrics/pyfixest

335

Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax

Python

#econometrics#fixed-effects#regression

Sparse Implementation of the Frisch-Newton Quantile Regression Algorithm 12 months ago

AI Summary: Implement a sparse Frisch-Newton algorithm for quantile regression in the PyFixest Python package. This involves translating the existing dense matrix implementation to use sparse SciPy matrices, adding support for categorical variables, and making it selectable via a new `method` argument ('sfn' and 'psfn') in the `pf.quantreg()` function.

Complexity: 4/5

enhancement help wanted good first issue

py-econometrics/pyfixest

335

Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax

Python

#econometrics#fixed-effects#regression

Point to accessible attributes in Getting Started Vignette about 1 year ago

AI Summary: Update the PyFixest documentation's "Getting Started" vignette to explicitly show how to access key attributes (like adjusted R-squared) from the `feols` summary output. This involves identifying the relevant attributes within the `feols` object and adding clear examples to the vignette.

Complexity: 2/5

docs help wanted good first issue

py-econometrics/pyfixest

335

Fast High-Dimensional Fixed Effects Regression in Python following fixest-syntax

Python

#econometrics#fixed-effects#regression

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