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Firearm Policy Buyers Would Accept

Authors: Bradley Shapiro; Sara Drango; Sarah Moshary;

Firearm Policy Buyers Would Accept

Abstract

Policies restricting gun sales face substantial political opposition and constitutional constraints. We take a different approach: rather than asking whether gun restrictions should be imposed, we ask how much it would cost to compensate potential handgun buyers to choose alternative products. Using a structural model of firearms demand estimated from stated-choice experiments, we estimate the distribution of willingnessto-accept (WTA) for substituting away from handguns toward long guns or no gun purchase. Because handguns account for the majority of firearm deaths in the United States, substitution away from handguns may have meaningful public health implications. We find that targeted compensation can induce substantial substitution at relatively modest cost, while uniform subsidies are far less cost-effective due to windfall payments to inframarginal buyers. Our results highlight scope for compensation-based policies to reduce externalities while leaving buyers better off.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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