Learning Microeconometrics with Python

This repository contains Python code using scipy, numpy, statsmodels and Scikit-Learn to reproduce a selection of computations, statistical tables, and figures from the book 'Learning Microeconometrics with R' by Christopher P. Adams (2020).
Free software: MIT license

References -------

Christopher P. Adams (2020). Learning Microeconometrics with R, Chapman and Hall/CRC, ISBN 9780367255381. https://sites.google.com/view/microeconometricswithr
This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.

Name		Name	Last commit message	Last commit date
Latest commit History 18 Commits
.github		.github
data		data
docs		docs
models		models
notebooks Python		notebooks Python
references		references
.DS_Store		.DS_Store
.editorconfig		.editorconfig
.gitignore		.gitignore
.travis.yml		.travis.yml
AUTHORS.rst		AUTHORS.rst
CONTRIBUTING.rst		CONTRIBUTING.rst
HISTORY.rst		HISTORY.rst
LICENSE		LICENSE
MANIFEST.in		MANIFEST.in
Makefile		Makefile
README.rst		README.rst
gitignore.gitignore		gitignore.gitignore
requirements_dev.txt		requirements_dev.txt
setup.cfg		setup.cfg
setup.py		setup.py
tox.ini		tox.ini

amc-econ/learning_microeconometrics_with_python