IDEAS home Printed from https://ideas.repec.org/a/spr/empeco/v56y2019i1d10.1007_s00181-018-1497-5.html
   My bibliography  Save this article

The social costs of gun ownership: a reply to Hayo, Neumeier, and Westphal

Author

Listed:
  • Philip J. Cook

    (Duke University
    NBER)

  • Jens Ludwig

    (NBER
    University of Chicago)

Abstract

We respond to the new article by Hayo, Neumeier, and Westphal (HNW), which is a critique of our 2006 article. The principal contribution of that article was to use a greatly improved proxy for gun prevalence to estimate the effect of gun prevalence on homicide rates. While the best available, our proxy, the ratio of firearms suicides to total suicides in a jurisdiction (FSS), is subject to measurement error which limits its use to larger jurisdictions that have enough suicides to stabilize the ratio. In this response, we report estimates for four different specifications and two data sets, the 200-county data and the data for the 50 states. We develop the claim that measurement error in FSS helps explain the observed pattern of results. Adopting the assumption that FSS follows a binomial process with a number of trials equal to the number of suicides, we characterize the relationship between measurement error and size of the jurisdiction, and thereby justify our conclusion that restricting the estimation to large jurisdictions reduces measurement error in FSS and hence the attenuation bias in the key coefficient estimate. We conclude that for the county-level data, the measurement error in FSS is of greater concern than using a specification that is flexible with respect to population. HNW focus on the latter but at the cost of increasing the effects of the former. We then demonstrate that the state-level data provide a robust case that more guns lead to more homicides.

Suggested Citation

  • Philip J. Cook & Jens Ludwig, 2019. "The social costs of gun ownership: a reply to Hayo, Neumeier, and Westphal," Empirical Economics, Springer, vol. 56(1), pages 13-22, January.
  • Handle: RePEc:spr:empeco:v:56:y:2019:i:1:d:10.1007_s00181-018-1497-5
    DOI: 10.1007/s00181-018-1497-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s00181-018-1497-5
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s00181-018-1497-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Ludwig, J. & Cook, P.J. & Smith, T.W., 1998. "The gender gap in reporting household gun ownership," American Journal of Public Health, American Public Health Association, vol. 88(11), pages 1715-1718.
    2. Raphael, Steven & Winter-Ember, Rudolf, 2001. "Identifying the Effect of Unemployment on Crime," Journal of Law and Economics, University of Chicago Press, vol. 44(1), pages 259-283, April.
    3. John J. Donohue III & Steven D. Levitt, 2001. "The Impact of Legalized Abortion on Crime," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(2), pages 379-420.
    4. E. Han Kim & Adair Morse & Luigi Zingales, 2006. "What Has Mattered to Economics Since 1970," Journal of Economic Perspectives, American Economic Association, vol. 20(4), pages 189-202, Fall.
    5. Justin McCrary, 2002. "Using Electoral Cycles in Police Hiring to Estimate the Effect of Police on Crime: Comment," American Economic Review, American Economic Association, vol. 92(4), pages 1236-1243, September.
    6. Cook, Philip J. & Ludwig, Jens, 2006. "The social costs of gun ownership," Journal of Public Economics, Elsevier, vol. 90(1-2), pages 379-391, January.
    7. Levitt, Steven D, 1997. "Using Electoral Cycles in Police Hiring to Estimate the Effect of Police on Crime," American Economic Review, American Economic Association, vol. 87(3), pages 270-290, June.
    8. Steven D. Levitt, 1996. "The Effect of Prison Population Size on Crime Rates: Evidence from Prison Overcrowding Litigation," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 111(2), pages 319-351.
    9. Mark Duggan, 2001. "More Guns, More Crime," Journal of Political Economy, University of Chicago Press, vol. 109(5), pages 1086-1114, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chalak, Karim & Kim, Daniel & Miller, Megan & Pepper, John, 2022. "Reexamining the evidence on gun ownership and homicide using proxy measures of ownership," Journal of Public Economics, Elsevier, vol. 208(C).
    2. Wm. Alan Bartley & Geoffrey Fain Williams, 2022. "The role of gun supply in 1980s and 1990s youth violence," Contemporary Economic Policy, Western Economic Association International, vol. 40(2), pages 323-348, April.
    3. John J. Donohue, 2022. "The Effect of Permissive Gun Laws on Crime," The ANNALS of the American Academy of Political and Social Science, , vol. 704(1), pages 92-117, November.
    4. Jessica Jumee Kim & Kenneth C. Wilbur, 2022. "Proxies for legal firearm prevalence," Quantitative Marketing and Economics (QME), Springer, vol. 20(3), pages 239-273, September.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. O’Flaherty, Brendan & Sethi, Rajiv, 2015. "Urban Crime," Handbook of Regional and Urban Economics, in: Gilles Duranton & J. V. Henderson & William C. Strange (ed.), Handbook of Regional and Urban Economics, edition 1, volume 5, chapter 0, pages 1519-1621, Elsevier.
    2. Che, Yi & Xu, Xun & Zhang, Yan, 2018. "Chinese import competition, crime, and government transfers in US," Journal of Comparative Economics, Elsevier, vol. 46(2), pages 544-567.
    3. Mejía, Daniel & Restrepo, Pascual, 2016. "Crime and conspicuous consumption," Journal of Public Economics, Elsevier, vol. 135(C), pages 1-14.
    4. Alejandro Gaviria & Carlos Medina & Jorge Tamayo, 2010. "Assessing the Link between Adolescent Fertility and Urban Crime," Borradores de Economia 6860, Banco de la Republica.
    5. Philip A. Curry & Anindya Sen & George Orlov, 2016. "Crime, apprehension and clearance rates: Panel data evidence from Canadian provinces," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 49(2), pages 481-514, May.
    6. Carlisle E. Moody & Thomas B. Marvell, 2010. "On the Choice of Control Variables in the Crime Equation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(5), pages 696-715, October.
    7. Guha, Brishti, 2013. "Guns and crime revisited," Journal of Economic Behavior & Organization, Elsevier, vol. 94(C), pages 1-10.
    8. Price V. Fishback & Ryan S. Johnson & Shawn Kantor, 2010. "Striking at the Roots of Crime: The Impact of Welfare Spending on Crime during the Great Depression," Journal of Law and Economics, University of Chicago Press, vol. 53(4), pages 715-740.
    9. Alexander F. McQuoid & J. Britton Haynes Jr., 2017. "The Thin (Red) Blue Line: Police Militarization and Violent Crime," Departmental Working Papers 56, United States Naval Academy Department of Economics.
    10. Matthew J. Baker & Niklas J. Westelius, 2013. "Crime, expectations, and the deterrence hypothesis," Chapters, in: Thomas J. Miceli & Matthew J. Baker (ed.), Research Handbook on Economic Models of Law, chapter 12, pages 235-280, Edward Elgar Publishing.
    11. Anna Bonanno, 2006. "The economic analysis of offender’s choice: Old and new insights," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 53(2), pages 193-224, June.
    12. Corman, Hope & Mocan, Naci, 2005. "Carrots, Sticks, and Broken Windows," Journal of Law and Economics, University of Chicago Press, vol. 48(1), pages 235-266, April.
    13. D'Este, Rocco, 2014. "The Effect of Stolen Goods Markets on Crime: Evidence from a Quasi Natural Experiment," Economic Research Papers 270415, University of Warwick - Department of Economics.
    14. Entorf, H. & Winker, P., 2008. "Investigating the drugs-crime channel in economics of crime models: Empirical evidence from panel data of the German States," International Review of Law and Economics, Elsevier, vol. 28(1), pages 8-22, March.
    15. McCrary, Justin & Lee, David S., 2009. "The Deterrence Effect of Prison: Dynamic Theory and Evidence," Berkeley Olin Program in Law & Economics, Working Paper Series qt2gh1r30h, Berkeley Olin Program in Law & Economics.
    16. Michael P. Murray, 2006. "Avoiding Invalid Instruments and Coping with Weak Instruments," Journal of Economic Perspectives, American Economic Association, vol. 20(4), pages 111-132, Fall.
    17. David S. Lee & Justin McCrary, 2009. "The Deterrence Effect of Prison: Dynamic Theory and Evidence," Working Papers 1171, Princeton University, Department of Economics, Industrial Relations Section..
    18. Paolo Buonanno & Giovanni Mastrobuoni, 2012. "Police and Crime: Evidence from Dictated Delays in Centralized Police Hiring," Carlo Alberto Notebooks 244, Collegio Carlo Alberto.
    19. Rafael Di Tella & Ernesto Schargrodsky, 2004. "Do Police Reduce Crime? Estimates Using the Allocation of Police Forces After a Terrorist Attack," American Economic Review, American Economic Association, vol. 94(1), pages 115-133, March.
    20. Hunt, Jennifer, 2006. "Do Teen Births Keep American Crime High?," Journal of Law and Economics, University of Chicago Press, vol. 49(2), pages 533-566, October.

    More about this item

    Keywords

    Measurement error; Crime; Guns; Homicide; Panel regression;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:empeco:v:56:y:2019:i:1:d:10.1007_s00181-018-1497-5. See general information about how to correct material in RePEc.

    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 CitEc recognized a bibliographic reference but did not link an item in RePEc 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 RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.