Guides

Practical recipes and deeper dives for PyFixest practitioners.

Task-oriented guides that show you how to accomplish specific goals with PyFixest.

Marginal Effects and Hypothesis Tests via `marginaleffects`

We can compute marginal effects and linear and non-linear hypothesis tests via the excellent marginaleffects package.

How much do Covariates Matter?

In regression analyses, we often wonder about “how much covariates matter?” for explaining the relationship between a target variable \(D\) and an outcome variable \(Y\).

`PyFixest` on professional-tier GPUs

PyFixest allows to run the fixed effects demeaning on the GPU via the demeaner_backend argument. To do so, you will have to install jax and jaxblib, for example by typing pip…

Translating Stata to PyFixest

This guide will focus on how to replicate the regression results you would get in Stata with the Python package pyfixest and assumes you know how to do things like install…

Variance Reduction in AB Tests

How to reduce the variance of estimators in AB tests and beyond using exogenous control variables via CUPED, linear regression, and fixed effects estimators.