crime3

Data loads lazily. Type data(crime3) 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

crime3 function

A data.frame with 106 rows and 12 variables:<ul>
<li>district. district number</li>
<li>year. 72 or 78</li>
<li>crime. crimes per 1000 people</li>
<li>clrprc1. clear-up perc, prior year</li>
<li>clrprc2. clear-up perc, two-years prior</li>
<li>d78. =1 if year = 78</li>
<li>avgclr. (clrprc1 + clrprc2)/2</li>
<li>lcrime. log(crime)</li>
<li>clcrime. change in lcrime</li>
<li>cavgclr. change in avgclr</li>
<li>cclrprc1. change in clrprc1</li>
<li>cclrprc2. change in clrprc2</li>
</ul>

crime3: crime3

Description

Usage

Arguments

Format

Examples