Wooldridge Meets Python
Data sets from Introductory Econometrics: A Modern Approach (7th ed, J.M. Wooldridge)
Description
A Python package which contains 115 data sets from one of the most famous econometrics textbooks for undergraduates.
It is extensively used in Pythonで学ぶ入門計量経済学 (Japanese). Its Google-translated version (in the language of your choice) is also available in Learning Introductory Econometrics with Python.
It is also used in Using Python for Introductory Econometrics, which is a sister book Using R for Introductory Econometrics.
How to Use
First things first.
import wooldridge
To load a data set named <dataset>:
wooldridge.data('<dataset>')
It returns pandas DataFrame. Note that <dataset> is entered in strings. For example, to load a data set mroz into df:
df = wooldridge.data('mroz')
To show the description (e.g. variable definitions and sources) of a data set:
wooldridge.data('mroz', description=True)
To show the list of 111 data sets contained in the package
wooldridge.data()
How to Install
pip install wooldridge
or
git clone https://github.com/spring-haru/wooldridge.git
pip install .
Note
The function dataWoo() introduced in the previous versions also works:
from wooldridge import *
df = dataWoo('<dataset>')
dataWoo('<dataset>', description=True)
dataWoo()
Reference
J.M. Wooldridge (2019) Introductory Econometrics: A Modern Approach, Cengage Learning, 7th edition.
1 maintainer
Metadata
1 maintainer
Release files for wooldridge 0.5.0
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