minwage

Data loads lazily. Type data(minwage) 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

minwage function

A data.frame with 612 rows and 58 variables:<ul>
<li>emp232. employment, sector 232, 1000s</li>
<li>wage232. hourly wage, sector 232, $</li>
<li>emp236.</li>
<li>wage236.</li>
<li>emp234.</li>
<li>wage234.</li>
<li>emp314.</li>
<li>wage314.</li>
<li>emp228.</li>
<li>wage228.</li>
<li>emp233.</li>
<li>wage233.</li>
<li>emp394.</li>
<li>wage394.</li>
<li>emp231.</li>
<li>wage231.</li>
<li>emp226.</li>
<li>wage226.</li>
<li>emp387.</li>
<li>wage387.</li>
<li>emp056.</li>
<li>wage056.</li>
<li>unem. civilian unemployment rate, percent</li>
<li>cpi. Consumer Price Index (urban), 1982-1984 = 100</li>
<li>minwage. Federal minimum wage, $/hour</li>
<li>lemp232. log(emp232)</li>
<li>lwage232. log(wage232)</li>
<li>gemp232. lemp232 - lemp232[_n-1]</li>
<li>gwage232. lwage232 - lwage232[_n-1]</li>
<li>lminwage. log(minwage)</li>
<li>gmwage. lminwage - lminwage[_n-1]</li>
<li>gmwage_1. gmwage[_n-1]</li>
<li>gmwage_2.</li>
<li>gmwage_3.</li>
<li>gmwage_4.</li>
<li>gmwage_5.</li>
<li>gmwage_6.</li>
<li>gmwage_7.</li>
<li>gmwage_8.</li>
<li>gmwage_9.</li>
<li>gmwage_10.</li>
<li>gmwage_11.</li>
<li>gmwage_12.</li>
<li>lemp236.</li>
<li>gcpi. lcpi - lcpi[_n-1]</li>
<li>lcpi. log(cpi)</li>
<li>lwage236.</li>
<li>gemp236.</li>
<li>gwage236.</li>
<li>lemp234.</li>
<li>lwage234.</li>
<li>gemp234.</li>
<li>gwage234.</li>
<li>lemp314.</li>
<li>lwage314.</li>
<li>gemp314.</li>
<li>gwage314.</li>
<li>t. linear time trend, 1 to 612</li>
</ul>

minwage: minwage

Description

Usage

Arguments

Format

Examples