infmrt

Data loads lazily. Type data(infmrt) 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

infmrt function

A data.frame with 102 rows and 12 variables:<ul>
<li>year. 1987 or 1990</li>
<li>infmort. deaths per 1,000 live births</li>
<li>afdcprt. afdc partic., 1000s</li>
<li>popul. population, 1000s</li>
<li>pcinc. per capita income</li>
<li>physic. drs. per 100,000 civilian pop.</li>
<li>afdcper. percent on AFDC</li>
<li>d90. =1 if year == 1990</li>
<li>lpcinc. log(pcinc)</li>
<li>lphysic. log(physic)</li>
<li>DC. =1 for Washington DC</li>
<li>lpopul. log(popul)</li>
</ul>

infmrt: infmrt

Description

Usage

Arguments

Format

Examples