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Journal ArticleDOI

Gun self-defense and deterrence

Jens Ludwig
- 01 Jan 2000 - 
- Vol. 27, pp 363-417
In this article, the authors examine the net effects of gun policies on rates of crime and injury directly, and find no evidence of a significant negative effect of these laws on crime, though the available research remains far from definitive.
Recent research on the prevalence of defensive gun use has prompted growing concern that government efforts to regulate gun ownership and use may be counterproductive. Estimates of defensive gun use from the National Crime Victimization Survey (on the order of 100,000 per year) appear to be too low. However, estimates from one-time telephone surveys (from 1.5 to 2.5 million per year) appear to be too high; even a modest rate of false positives may lead to substantial upward bias. A more promising approach is to examine the net effects of gun policies on rates of crime and injury directly. Evidence for a substantial deterrent effect of permissive concealed gun-carrying laws comes from a recent study by Lott and Mustard. Reanalysis of their data suggests that the estimated "treatment effects" are due in part or whole to unmeasured variables. More recent studies find no evidence of a significant negative effect of these laws on crime, though the available research remains far from definitive.

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Learning from the Limitations of Deterrence Research

Michael Tonry
- 01 Jan 2008 - 
TL;DR: Despite the proliferation of three-strikes, mandatory minimum, and concealed weapons laws and retention of capital punishment in 37 states, there is little credible evidence that changes in sanctions affect crime rates as mentioned in this paper.

The Science of Gun Policy: A Critical Synthesis of Research Evidence on the Effects of Gun Policies in the United States.

TL;DR: The RAND Corporation's Gun Policy in America initiative as discussed by the authors aims to systematically and transparently assess available scientific evidence on the real effects of firearm laws and policies, including the law and constitutional rights, the interests of various stakeholder groups, and information about the likely effects of different laws or policies on a range of outcomes.
Journal ArticleDOI

Better gun enforcement, less crime

TL;DR: The Project Safe Neighborhoods (PSN) as discussed by the authors has been the major federal initiative to combat gun violence, which includes several elements (such as gun locks and other efforts to reduce gun availability) that are likely to have at best modest effects on gun crime.
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Identification of Causal effects Using Instrumental Variables

TL;DR: In this paper, a framework for causal inference in settings where assignment to a binary treatment is ignorable, but compliance with the assignment is not perfect so that the receipt of treatment is nonignorable.
Journal ArticleDOI

The Effects of Automobile Safety Regulation

TL;DR: In this paper, the authors imply that annual highway deaths would be 20 percent greater without legally mandated installation of various safety devices on automobiles, but this literature ignores the fact that safety devices can be installed in cars.
Journal ArticleDOI

Violence and victims. The contribution of victimology to forensic psychiatry

JohnR. Hamilton
- 17 Jan 1987 - 
TL;DR: No wonder you activities are, reading will be always needed, it is not only to fulfil the duties that you need to finish in deadline time.
Posted Content

Using Electoral Cycles in Police Hiring to Estimate the Effect of Police on Crime

TL;DR: In this article, the timing of mayoral and gubernatorial elections is used to identify the effect of police on crime, and it was shown that increases in the size of police forces disproportionately occur in mayoral and governor election years.
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Choosing Among Alternative Nonexperimental Methods for Estimating the Impact of Social Programs: the Case of Manpower Training

TL;DR: The value of simple specification tests in selecting an appropriate nonexperimental estimator is explored and a reanalysis of the National Supported Work Demonstration Data reveals that a simple testing procedure eliminates the range of nonexperiment estimators that are at variance with the experimental estimates of program impact.
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