airfare

Wooldridge Source: Jiyoung Kwon, a former doctoral student in economics at MSU, kindly provided these data, which she obtained from the Domestic Airline Fares Consumer Report by the U.S. Department of Transportation. Data loads lazily.

datasets

Students learning both econometrics and R may find the introduction
to both challenging. The wooldridge data package aims to lighten the task by efficiently
loading any data set found in the text with a single command. Data sets have been
compressed to a fraction of their original size. Documentation files contain page numbers,
the original source, time of publication, and notes from the author suggesting avenues for
further analysis and research. If one needs an introduction to R model syntax, a
vignette contains solutions to examples from chapters of the text.
Data sets are from the 7th edition (Wooldridge 2020, ISBN-13 978-1-337-55886-0),
and are backwards compatible with all previous versions of the text.

Justin Shea

wooldridge

115 Data Sets from "Introductory Econometrics: A Modern
Approach, 7e" by Jeffrey M. Wooldridge

Justin M. Shea

Kennth H. Brown

airfare function

A data.frame with 4596 observations on 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>

Format

This data set nicely illustrates the different estimates obtained when applying pooled OLS, random effects, and fixed effects.
Used in Text: pages 506-507, 581

airfare: airfare

Description

Usage

Arguments

Format

Notes

Examples