crime4

Description

Wooldridge Source: From C. Cornwell and W. Trumball (1994), “Estimating the Economic Model of Crime with Panel Data,” Review of Economics and Statistics 76, 360-366. Professor Cornwell kindly provided the data. Data loads lazily.

Usage

data('crime4')

Format

A data.frame with 630 observations on 59 variables:

• county: county identifier

• year: 81 to 87

• crmrte: crimes committed per person

• prbarr: 'probability' of arrest

• prbconv: 'probability' of conviction

• prbpris: 'probability' of prison sentenc

• avgsen: avg. sentence, days

• polpc: police per capita

• density: people per sq. mile

• taxpc: tax revenue per capita

• west: =1 if in western N.C.

• central: =1 if in central N.C.

• urban: =1 if in SMSA

• pctmin80: perc. minority, 1980

• wcon: weekly wage, construction

• wtuc: wkly wge, trns, util, commun

• wtrd: wkly wge, whlesle, retail trade

• wfir: wkly wge, fin, ins, real est

• wser: wkly wge, service industry

• wmfg: wkly wge, manufacturing

• wfed: wkly wge, fed employees

• wsta: wkly wge, state employees

• wloc: wkly wge, local gov emps

• mix: offense mix: face-to-face/other

• pctymle: percent young male

• d82: =1 if year == 82

• d83: =1 if year == 83

• d84: =1 if year == 84

• d85: =1 if year == 85

• d86: =1 if year == 86

• d87: =1 if year == 87

• lcrmrte: log(crmrte)

• lprbarr: log(prbarr)

• lprbconv: log(prbconv)

• lprbpris: log(prbpris)

• lavgsen: log(avgsen)

• lpolpc: log(polpc)

• ldensity: log(density)

• ltaxpc: log(taxpc)

• lwcon: log(wcon)

• lwtuc: log(wtuc)

• lwtrd: log(wtrd)

• lwfir: log(wfir)

• lwser: log(wser)

• lwmfg: log(wmfg)

• lwfed: log(wfed)

• lwsta: log(wsta)

• lwloc: log(wloc)

• lmix: log(mix)

• lpctymle: log(pctymle)

• lpctmin: log(pctmin)

• clcrmrte: lcrmrte - lcrmrte[_n-1]

• clprbarr: lprbarr - lprbarr[_n-1]

• clprbcon: lprbconv - lprbconv[_n-1]

• clprbpri: lprbpri - lprbpri[t-1]

• clavgsen: lavgsen - lavgsen[t-1]

• clpolpc: lpolpc - lpolpc[t-1]

• cltaxpc: ltaxpc - ltaxpc[t-1]

• clmix: lmix - lmix[t-1]

Notes

Computer Exercise C16.7 shows that variables that might seem to be good instrumental variable candidates are not always so good, especially after applying a transformation such as differencing across time. You could have the students do an IV analysis for just, say, 1987.

Used in Text: pages 471-472, 479, 504, 580

Source

https://www.cengage.com/cgi-wadsworth/course_products_wp.pl?fid=M20b&product_isbn_issn=9781111531041

Examples

 str(crime4)