airfare

Data loads lazily. Type data(airfare) 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

airfare function

A data.frame with 4596 rows and 14 variables:<ul>
<li>year. 1997, 1998, 1999, 2000</li>
<li>id. route identifier</li>
<li>dist. distance, in miles</li>
<li>passen. avg. passengers per day</li>
<li>fare. avg. one-way fare, $</li>
<li>bmktshr. fraction market, biggest carrier</li>
<li>ldist. log(distance)</li>
<li>y98. =1 if year == 1998</li>
<li>y99. =1 if year == 1999</li>
<li>y00. =1 if year == 2000</li>
<li>lfare. log(fare)</li>
<li>ldistsq. ldist^2</li>
<li>concen. = bmktshr</li>
<li>lpassen. log(passen)</li>
</ul>

airfare: airfare

Description

Usage

Arguments

Format

Examples