prison

Data loads lazily. Type data(prison) 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

prison function

A data.frame with 714 rows and 45 variables:<ul>
<li>state. alphabetical; DC = 9</li>
<li>year. 80 to 93</li>
<li>govelec. =1 if gubernatorial election</li>
<li>black. proportion black</li>
<li>metro. proportion in metro. areas</li>
<li>unem. proportion unemployed</li>
<li>criv. viol. crimes per 100,000</li>
<li>crip. prop. crimes per 100,000</li>
<li>lcriv. log(criv)</li>
<li>lcrip. log(crip)</li>
<li>gcriv. lcriv - lcriv_1</li>
<li>gcrip. lcrip - lcrip_1</li>
<li>y81. =1 if year == 81</li>
<li>y82.</li>
<li>y83.</li>
<li>y84.</li>
<li>y85.</li>
<li>y86.</li>
<li>y87.</li>
<li>y88.</li>
<li>y89.</li>
<li>y90.</li>
<li>y91.</li>
<li>y92.</li>
<li>y93.</li>
<li>ag0_14. prop. pop. 0 to 14 yrs</li>
<li>ag15_17. prop. pop. 15 to 17 yrs</li>
<li>ag18_24. prop. pop. 18 to 24 yrs</li>
<li>ag25_34. prop. pop. 25 to 34 yrs</li>
<li>incpc. per capita income, nominal</li>
<li>polpc. police per 100,000 residents</li>
<li>gincpc. log(incpc) - log(incpc_1)</li>
<li>gpolpc. lpolpc - lpolpc_1</li>
<li>cag0_14. change in ag0_14</li>
<li>cag15_17. change in ag15_17</li>
<li>cag18_24. change in ag18_24</li>
<li>cag25_34. change in ag25_34</li>
<li>cunem. change in unem</li>
<li>cblack. change in black</li>
<li>cmetro. change in metro</li>
<li>pris. prison pop. per 100,000</li>
<li>lpris. log(pris)</li>
<li>gpris. lpris - lpris[_n-1]</li>
<li>final1. =1 if fnl dec on litig, curr yr</li>
<li>final2. =1 if dec on litig, prev 2 yrs</li>
</ul>

prison: prison

Description

Usage

Arguments

Format

Examples