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Published in: Empirical Economics 1/2019

21-06-2018 | Response

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

Authors: Philip J. Cook, Jens Ludwig

Published in: Empirical Economics | Issue 1/2019

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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.

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Appendix
Available only for authorised users
Footnotes
1
For a broader discussion of the scientific evidence about guns and crime, such as what is known about whether guns increase the lethality of violence and related issues, see Cook and Ludwig (2006b) and Cook and Goss (2014).
 
2
As we noted in our 2006 paper, Lott pools his data from two waves of voter exit polls, in 1988 and 1996, but in his regressions controls for region but not state fixed effects. So most of the variation in gun ownership rates in his analysis will be from across-state variation, rather than within-state over-time variation. .
 
3
Crime rates per capita is the dependent variable of interest not just for Lott (2000) and Duggan (2001), but also Levitt’s (1996) study of prisons and crime, Levitt’s (1997) study of the effects of additional police on crime, which was subject to a careful re-analysis by McCrary (2002) with no mention of any concerns about working in crime rates, Raphael and Winter-Ebmer’s (2001) study of the link between unemployment rates and crime, and Donohue and Levitt’s (2001) study of the effects of legalized abortion on crime, which has been the subject of intensive public scrutiny almost unheard of in academic research.
 
4
We utilized the list of most cited articles in economics between 1970 and 2005, taken from Kim et al. (2006).
 
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Metadata
Title
The social costs of gun ownership: a reply to Hayo, Neumeier, and Westphal
Authors
Philip J. Cook
Jens Ludwig
Publication date
21-06-2018
Publisher
Springer Berlin Heidelberg
Published in
Empirical Economics / Issue 1/2019
Print ISSN: 0377-7332
Electronic ISSN: 1435-8921
DOI
https://doi.org/10.1007/s00181-018-1497-5

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