R Dataset / Package plm / Crime

How To Create a Barplot

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How To Create a Pie Chart

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How To Compute the Mean

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How To Create a Plot

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How to Compute the Median

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Boxplot

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Correlation Coefficient

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Embed
<iframe src="https://embed.picostat.com/r-dataset-package-plm-crime.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-28105.csv 116.33 KB
Dataset License
GNU General Public License v2.0
Documentation License
GNU General Public License v2.0
Dataset Help

On this Picostat.com statistics page, you will find information about the Crime data set which pertains to Crime in North Carolina. The Crime data set is found in the plm R package. You can load the Crime data set in R by issuing the following command at the console data("Crime"). This will load the data into a variable called Crime. If R says the Crime data set is not found, you can try installing the package by issuing this command install.packages("plm") and then attempt to reload the data. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the Crime R data set. The size of this file is about 119,122 bytes.

Documentation

Crime in North Carolina

Description

a panel of 90 observational units (counties) from 1981 to 1987

total number of observations : 630

observation : regional

country : United States

Usage

data(Crime)

Format

A data frame containing :

county

county identifier

year

year from 1981 to 1987

crmrte

crimes committed per person

prbarr

'probability' of arrest

prbconv

'probability' of conviction

prbpris

'probability' of prison sentence

avgsen

average sentence, days

polpc

police per capita

density

people per square mile

taxpc

tax revenue per capita

region

factor. One of 'other', 'west' or 'central'.

smsa

factor. Does the individual reside in a SMSA (standard metropolitan statistical area)?

pctmin

percentage minority in 1980

wcon

weekly wage in construction

wtuc

weekly wage in trns, util, commun

wtrd

weekly wage in whole sales and retail trade

wfir

weekly wage in finance, insurance and real estate

wser

weekly wage in service industry

wmfg

weekly wage in manufacturing

wfed

weekly wage of federal employees

wsta

weekly wage of state employees

wloc

weekly wage of local governments employees

mix

offence mix: face-to-face/other

pctymle

percentage of young males

Source

Online complements to Baltagi (2001):

http://www.wiley.com/legacy/wileychi/baltagi/

Online complements to Baltagi (2013):

http://bcs.wiley.com/he-bcs/Books?action=resource&bcsId=4338&itemId=1118672321&resourceId=13452

See also Journal of Applied Econometrics data archive entry for Baltagi (2006) at http://qed.econ.queensu.ca/jae/2006-v21.4/baltagi/.

References

Cornwell, C. and W.N. Trumbull (1994) “Estimating the economic model of crime with panel data”, Review of Economics and Statistics, 76(2), pp. 360–366.

Baltagi, B. H. (2006) “Estimating an economic model of crime using panel data from North Carolina”, Journal of Applied Econometrics, 21(4), pp. 543–547.

Baltagi, Badi H. (2001) Econometric Analysis of Panel Data, 2nd ed., John Wiley and Sons.

Baltagi, Badi H. (2013) Econometric Analysis of Panel Data, 5th ed., John Wiley and Sons.

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Dataset imported from https://www.r-project.org.