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Data sets from Introductory Econometrics: A Modern Approach (6th ed, J.M. Wooldridge)

Project description

Wooldridge Meets Python

Data sets from Introductory Econometrics: A Modern Approach (7th ed, J.M. Wooldridge)


A Python package which contains 111 data sets from one of the most famous econometrics textbooks for undergraduates.

It is used in Using Python for Introductory Econometrics, which is a sister book Using R for Introductory Econometrics.

It is also extensively used in Pythonで学ぶ入門計量経済学 (Japanese).

How to Use

First things first.

import wooldridge

To load a data set named <dataset>:'<dataset>')

It returns pandas DataFrame. Note that <dataset> is entered in strings. For example, to load a data set mroz into df:

df ='mroz')

To show the description (e.g. variable definitions and sources) of a data set:'mroz', description=True)

To show the list of 111 data sets contained in the package

How to Install

pip install wooldridge


git clone
pip install .


The function dataWoo() introduced in the previous versions also works:

from wooldridge import *

df = dataWoo('<dataset>')

dataWoo('<dataset>', description=True)



J.M. Wooldridge (2019) Introductory Econometrics: A Modern Approach, Cengage Learning, 7th edition.

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