mroz

Data loads lazily. Type data(mroz) into the console.

datasets

Economics students new to both econometrics and R may find the
simultaneous introduction to both challenging. In particular, the process of
loading and preparing data before building one's first model can present
challenges. The `wooldridge` data package aims to lighten the task by loading
any data set from the text into the current working environment with a single command.
The package contains documentation for each set and all data has been
compressed to 62.73% of its original size. Just install the package, load it,
and use the `data()` function to call the data set you need to work with.
In addition, a wooldridge-vignette illustrates solutions to examples from
each chapter of the text, offering a relevant introduction to econometric
modelling with R. The vignette also includes an Appendix to helpful resources
about using R for econometrics. Note: Data sets are from the 5th edition
(Wooldridge 2013, ISBN-13:978-1-111-53104-1), and are compatible with others.

Justin Shea

wooldridge

105 Data Sets from "Introductory Econometrics: A Modern
Approach" by Jeffrey M. Wooldridge

mroz function

A data.frame with 753 rows and 22 variables:<ul>
<li>inlf. =1 if in lab frce, 1975</li>
<li>hours. hours worked, 1975</li>
<li>kidslt6. # kids &lt; 6 years</li>
<li>kidsge6. # kids 6-18</li>
<li>age. woman's age in yrs</li>
<li>educ. years of schooling</li>
<li>wage. est. wage from earn, hrs</li>
<li>repwage. rep. wage at interview in 1976</li>
<li>hushrs. hours worked by husband, 1975</li>
<li>husage. husband's age</li>
<li>huseduc. husband's years of schooling</li>
<li>huswage. husband's hourly wage, 1975</li>
<li>faminc. family income, 1975</li>
<li>mtr. fed. marg. tax rte facing woman</li>
<li>motheduc. mother's years of schooling</li>
<li>fatheduc. father's years of schooling</li>
<li>unem. unem. rate in county of resid.</li>
<li>city. =1 if live in SMSA</li>
<li>exper. actual labor mkt exper</li>
<li>nwifeinc. (faminc - wage*hours)/1000</li>
<li>lwage. log(wage)</li>
<li>expersq. exper^2</li>
</ul>

mroz: mroz

Description

Usage

Arguments

Format

Examples