wageprc

Data loads lazily. Type data(wageprc) 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

wageprc function

A data.frame with 286 rows and 20 variables:<ul>
<li>price. consumer price index</li>
<li>wage. nominal hourly wage</li>
<li>t. time trend = 1, 2 , 3, ...</li>
<li>lprice. log(price)</li>
<li>lwage. log(wage)</li>
<li>gprice. lprice - lprice[_n-1]</li>
<li>gwage. lwage - lwage[_n-1]</li>
<li>gwage_1. gwage[_n-1]</li>
<li>gwage_2. gwage[_n-2]</li>
<li>gwage_3.</li>
<li>gwage_4.</li>
<li>gwage_5.</li>
<li>gwage_6.</li>
<li>gwage_7.</li>
<li>gwage_8.</li>
<li>gwage_9.</li>
<li>gwage_10.</li>
<li>gwage_11.</li>
<li>gwage_12.</li>
<li>gprice_1. gprice[_n-1]</li>
</ul>

wageprc: wageprc

Description

Usage

Arguments

Format

Examples