prminwge

Data loads lazily. Type data(prminwge) 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

prminwge function

A data.frame with 38 rows and 25 variables:<ul>
<li>year. 1950-1987</li>
<li>avgmin. weighted avg min wge, 44 indust</li>
<li>avgwage. wghted avg hrly wge, 44 indust</li>
<li>kaitz. Kaitz min wage index</li>
<li>avgcov. wghted avg coverage, 8 indust</li>
<li>covt. economy-wide coverage of min wg</li>
<li>mfgwage. avg manuf. wage</li>
<li>prdef. Puerto Rican price deflator</li>
<li>prepop. PR employ/popul ratio</li>
<li>prepopf. PR employ/popul ratio, alter.</li>
<li>prgnp. PR GNP</li>
<li>prunemp. PR unemployment rate</li>
<li>usgnp. US GNP</li>
<li>t. time trend: 1 to 38</li>
<li>post74. time trend: starts in 1974</li>
<li>lprunemp. log(prunemp)</li>
<li>lprgnp. log(prgnp)</li>
<li>lusgnp. log(usgnp)</li>
<li>lkaitz. log(kaitz)</li>
<li>lprun_1. lprunemp[_n-1]</li>
<li>lprepop. log(prepop)</li>
<li>lprep_1. lprepop[_n-1]</li>
<li>mincov. (avgmin/avgwage)*avgcov</li>
<li>lmincov. log(mincov)</li>
<li>lavgmin. log(avgmin)</li>
</ul>

prminwge: prminwge

Description

Usage

Arguments

Format

Examples