murder

Data loads lazily. Type data(murder) 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

murder function

A data.frame with 153 rows and 13 variables:<ul>
<li>id. state identifier</li>
<li>state. postal code</li>
<li>year. 87, 90, or 93</li>
<li>mrdrte. murders per 100,000 people</li>
<li>exec. total executions, past 3 years</li>
<li>unem. annual unem. rate</li>
<li>d90. =1 if year == 90</li>
<li>d93. =1 if year == 93</li>
<li>cmrdrte. mrdrte - mrdrte[_n-1]</li>
<li>cexec. exec - exec[_n-1]</li>
<li>cunem. unem - unem[_n-1]</li>
<li>cexec_1. cexec[_n-1]</li>
<li>cunem_1. cunem[_n-1]</li>
</ul>

murder: murder

Description

Usage

Arguments

Format

Examples