Badi H. Baltagi, "Estimating an Economic Model of Crime using Panel Data
from North Carolina", Journal of Applied Econometrics, Vol. 21, No. 4, 
2006, pp. 543-547.

This is a replication of the article

  Cornwell, C. and W. N. Trumbull, "Estimating the economic model of crime
  with panel data", Review of Economics and Statistics 76, 1994, 360-366.
  
This is their data set provided with permission from Chris Cornwell. It
is a panel data of 90 counties over 7 years 1981-1987 which comprises
630 observations.

Two versions of the dataset are provided. The file "crime4.txt" is an
ASCII file in DOS format. The file "crime4.dta" is a Stata datafile.
Both files are zipped in the file crime4.zip.

The dataset contains 630 observations and 59 variables:

county    year      crmrte    prbarr    prbconv   prbpris   avgsen    polpc    
density   taxpc     west      central   urban     pctmin80  wcon      wtuc     
wtrd      wfir      wser      wmfg      wfed      wsta      wloc      mix      
pctymle   d82       d83       d84       d85       d86       d87       lcrmrte  
lprbarr   lprbconv  lprbpris  lavgsen   lpolpc    ldensity  ltaxpc    lwcon    
lwtuc     lwtrd     lwfir     lwser     lwmfg     lwfed     lwsta     lwloc    
lmix      lpctymle  lpctmin   clcrmrte  clprbarr  clprbcon  clprbpri  
clavgsen  clpolpc   cltaxpc   clmix     

The last eight (constructed) variables are missing for 1981. Missing
variables are denoted by a "." in the text file.

Variable definitions:

  1. county        county identifier
  2. year          81 to 87
  3. crmrte        crimes committed per person
  4. prbarr        'probability' of arrest
  5. prbconv       'probability' of conviction
  6. prbpris       'probability' of prison sentenc
  7. avgsen        avg. sentence, days
  8. polpc         police per capita
  9. density       people per sq. mile
 10. taxpc         tax revenue per capita
 11. west          =1 if in western N.C.
 12. central       =1 if in central N.C.
 13. urban         =1 if in SMSA
 14. pctmin80      perc. minority, 1980
 15. wcon          weekly wage, construction
 16. wtuc          wkly wge, trns, util, commun
 17. wtrd          wkly wge, whlesle, retail trade
 18. wfir          wkly wge, fin, ins, real est
 19. wser          wkly wge, service industry
 20. wmfg          wkly wge, manufacturing
 21. wfed          wkly wge, fed employees
 22. wsta          wkly wge, state employees
 23. wloc          wkly wge, local gov emps
 24. mix           offense mix: face-to-face/other
 25. pctymle       percent young male
 26. d82           =1 if year == 82
 27. d83           =1 if year == 83
 28. d84           =1 if year == 84
 29. d85           =1 if year == 85
 30. d86           =1 if year == 86
 31. d87           =1 if year == 87
 32. lcrmrte       log(crmrte)
 33. lprbarr       log(prbarr)
 34. lprbconv      log(prbconv)
 35. lprbpris      log(prbpris)
 36. lavgsen       log(avgsen)
 37. lpolpc        log(polpc)
 38. ldensity      log(density)
 39. ltaxpc        log(taxpc)
 40. lwcon         log(wcon)
 41. lwtuc         log(wtuc)
 42. lwtrd         log(wtrd)
 43. lwfir         log(wfir)
 44. lwser         log(wser)
 45. lwmfg         log(wmfg)
 46. lwfed         log(wfed)
 47. lwsta         log(wsta)
 48. lwloc         log(wloc)
 49. lmix          log(mix)
 50. lpctymle      log(pctymle)
 51. lpctmin       log(pctmin)
 52. clcrmrte      lcrmrte - lcrmrte[t-1]
 53. clprbarr      lprbarr - lprbarr[t-1]
 54. clprbcon      lprbconv - lprbconv[t-1]
 55. clprbpri      lprbpri - lprbpri[t-1]
 56. clavgsen      lavgsen - lavgsen[t-1]
 57. clpolpc       lpolpc - lpolpc[t-1]
 58. cltaxpc       ltaxpc - ltaxpc[t-1]
 59. clmix         lmix - lmix[t-1]