Data loads lazily. Type data(htv) 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

htv function

A data.frame with 1230 rows and 23 variables:<ul>
<li>wage. hourly wage, 1991</li>
<li>abil. abil. measure, not standardized</li>
<li>educ. highest grade completed by 1991</li>
<li>ne. =1 if in northeast, 1991</li>
<li>nc. =1 if in nrthcntrl, 1991</li>
<li>west. =1 if in west, 1991</li>
<li>south. =1 if in south, 1991</li>
<li>exper. potential experience</li>
<li>motheduc. highest grade, mother</li>
<li>fatheduc. highest grade, father</li>
<li>brkhme14. =1 if broken home, age 14</li>
<li>sibs. number of siblings</li>
<li>urban. =1 if in urban area, 1991</li>
<li>ne18. =1 if in NE, age 18</li>
<li>nc18. =1 if in NC, age 18</li>
<li>south18. =1 if in south, age 18</li>
<li>west18. =1 if in west, age 18</li>
<li>urban18. =1 if in urban area, age 18</li>
<li>tuit17. college tuition, age 17</li>
<li>tuit18. college tuition, age 18</li>
<li>lwage. log(wage)</li>
<li>expersq. exper^2</li>
<li>ctuit. tuit18 - tuit17</li>
</ul>

htv: htv

Description

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Examples