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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 (6th ed, J.M. Wooldridge)

Description

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

How to Use

First things first.

from wooldridge import *

To load a data set named <dataset>:

dataWoo('<dataset>')

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

df = dataWoo('mroz')

To show the description (e.g. variable definitions and sources) of a data set:

dataWoo('mroz', description=True)

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

dataWoo()

How to Install

pip install wooldridge

or

git clone https://github.com/spring-haru/wooldridge.git
pip install .

Reference

J.M. Wooldridge (2016) Introductory Econometrics: A Modern Approach, Cengage Learning, 6th edition.

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