skillmodels

Introduction

Welcome to skillmodels, a Python implementation of estimators for skill formation models. The econometrics of skill formation models is a very active field and several estimators were proposed. None of them is implemented in standard econometrics packages.

Installation

Warning: To run skillmodels you need to install jax and jaxlib. At the time of writing, in most use cases, it is faster on a CPU than on a GPU, so it should be sufficient to install the CPU version, which is available on all platforms. In any case, for installation of jax and jaxlib, please consult the jax docs.

Skillmodels can be installed via PyPI or via GitHub. To do so, type the following in a terminal:

$ pip install skillmodels

or, for the latest development version, type:

$ pip install git+https://github.com/OpenSourceEconomics/skillmodels.git

Documentation

The documentation is hosted at readthedocs

Developing

We use pixi for our local development environment. If you want to work with or extend the skillmodels code base you can run the tests using

$ git clone https://github.com/OpenSourceEconomics/skillmodels.git
$ pixi run tests

This will install the development environment and run the tests. You can run mypy using

$ pixi run mypy

Before committing, install the pre-commit hooks using

$ pre-commit install

Documentation

You can build the documentation locally. After cloning the repository you can cd to the docs directory and type:

$ make html

Citation

It took countless hours to write skillmodels. I make it available under a very permissive license in the hope that it helps other people to do great research that advances our knowledge about the formation of cognitive and noncognitive skills. If you find skillmodels helpful, please don't forget to cite it. Below you can find the bibtex entry for a suggested citation. The suggested citation will be updated once the code becomes part of a published paper.

@Unpublished{Gabler2024,
  Title                    = {A Python Library to Estimate Nonlinear Dynamic Latent Factor Models},
  Author                   = {Janos Gabler},
  Year                     = {2024},
  Url                      = {https://github.com/OpenSourceEconomics/skillmodels}
}

Feedback

If you find skillmodels helpful for research or teaching, please let me know. If you encounter any problems with the installation or while using skillmodels, please complain or open an issue at GitHub

Project links

Data verified by PyPI on Jul 29, 2026
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

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Latest release

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Avatar for hmgaudecker from gravatar.com hmgaudecker

Credits

Author: Janoś Gabler

Maintainer: Janoś Gabler

GitHub Statistics

Data verified by PyPI on Jul 29, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License

MIT License (MIT License)

Requires

Python <3.15, >=3.14

Tags

Econometrics Economics Estimation Skill formation Statistics

Classifiers

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