IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this paper or follow this series

Skill-biased Technological Change, Earnings of Unskilled Workers, and Crime

  • Naci H. Mocan
  • Bulent Unel

This paper investigates the impact of unskilled workers' earnings on crime. Following the literature on wage inequality and skill-biased technological change, we employ CPS data to create state-year as well as state-year-and (broad) industry specific measures of skill-biased technological change, which are then used as instruments for unskilled workers' earnings in crime regressions. Regressions that employ state panels reveal that technology-induced variations in unskilled workers' earnings impact property crime with an elasticity of -1, but that wages have no impact on violent crime. The paper also estimates, for the first time in this literature, structural crime equations using micro panel data from NLSY97 and instrumenting real wages of young workers. Using state-year-industry specific technology shocks as instruments yields elasticities that are in the neighborhood of -2 for most types of crime, which is markedly larger than previous estimates. In both data sets there is evidence for asymmetric impact of unskilled workers' earnings on crime. A decline in earnings has a larger effect on crime in comparison to an increase in earnings by the same absolute value.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.nber.org/papers/w17605.pdf
Download Restriction: no

Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 17605.

as
in new window

Length:
Date of creation: Nov 2011
Date of revision:
Handle: RePEc:nbr:nberwo:17605
Note: CH HE LE LS
Contact details of provider: Postal: National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.
Phone: 617-868-3900
Web page: http://www.nber.org
Email:


More information through EDIRC

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Steinberg, Dan, 1989. "Induced work participation and the returns to experience for welfare women : Evidence from a social experiment," Journal of Econometrics, Elsevier, vol. 41(3), pages 321-340, July.
  2. Francesco Caselli & Wilbur John Coleman II, 2006. "The World Technology Frontier," American Economic Review, American Economic Association, vol. 96(3), pages 499-522, June.
  3. Unel, Bulent, 2010. "Analyzing skilled and unskilled labor efficiencies in the US," Journal of Macroeconomics, Elsevier, vol. 32(4), pages 957-967, December.
  4. Ermisch, John F & Wright, Robert E, 1988. "Gender Discrimination in the British Labour Market: A Reassessment," CEPR Discussion Papers 278, C.E.P.R. Discussion Papers.
  5. Ming-Jen Lin, 2008. "Does Unemployment Increase Crime?: Evidence from U.S. Data 1974–2000," Journal of Human Resources, University of Wisconsin Press, vol. 43(2), pages 413-436.
  6. Jenny Williams & Robin C. Sickles, 2002. "An Analysis of the Crime as Work Model: Evidence from the 1958 Philadelphia Birth Cohort Study," Journal of Human Resources, University of Wisconsin Press, vol. 37(3), pages 479-509.
  7. H. Naci Mocan & Hope Corman, 2000. "A Time-Series Analysis of Crime, Deterrence, and Drug Abuse in New York City," American Economic Review, American Economic Association, vol. 90(3), pages 584-604, June.
  8. Eric D. Gould & Bruce A. Weinberg & David B. Mustard, 2002. "Crime Rates And Local Labor Market Opportunities In The United States: 1979-1997," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 45-61, February.
  9. John Ermisch & Robert Wright, 1994. "Interpretation of negative sample selection effects in wage offer equations," Applied Economics Letters, Taylor & Francis Journals, vol. 1(11), pages 187-189.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:nbr:nberwo:17605. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ()

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.