The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Right‐to‐Carry Laws and Violent Crime: A Comprehensive Assessment Using Panel Data and a State‐Level Synthetic Control Analysis
Abstract
This article uses more complete state panel data (through 2014) and new statistical techniques to estimate the impact on violent crime when states adopt right‐to‐carry (RTC) concealed handgun laws. Our preferred panel data regression specification, unlike the statistical model of Lott and Mustard that had previously been offered as evidence of crime‐reducing RTC laws, both satisfies the parallel trends assumption and generates statistically significant estimates showing RTC laws increase overall violent crime. Our synthetic control approach also finds that RTC laws are associated with 13–15 percent higher aggregate violent crime rates 10 years after adoption. Using a consensus estimate of the elasticity of crime with respect to incarceration of 0.15, the average RTC state would need to roughly double its prison population to offset the increase in violent crime caused by RTC adoption.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The economic costs of conflict: a case study of the Basque Country
Abadie, A., & Gardeazabal, J. (2003) · American Economic Review · doi:10.1257/000282803321455188 · Cited by 4,517
Cited by
Using Synthetic Controls: Feasibility, Data Requirements, and Methodological Aspects
Abadie, A. (2021) · Journal of Economic Literature · doi:10.1257/jel.20191450 · Cited by 1,486
Sampling‐Based versus Design‐Based Uncertainty in Regression Analysis
Abadie, A., Athey, S., Imbens, G. W., & Wooldridge, J. M. (2020) · Econometrica · doi:10.3982/ecta12675 · Cited by 285
Schell, T. L., Cefalu, M., Griffin, B. A., Smart, R., & Morral, A. R. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1921965117 · Cited by 118
Synthetic controls with staggered adoption.
Ben-Michael, E., Feller, A., & Rothstein, J. (2022) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/rssb.12448 · Cited by 120
Powell, D. (2022) · Journal of Business & Economic Statistics · doi:10.1080/07350015.2021.1927743 · Cited by 43
Metadata
- Authors
- Donohue, J. J., Aneja, A., & Weber, K. D.
- Venue
- Journal of Empirical Legal Studies
- Publisher
- Wiley
- Published
- 2019-05-15
- Volume
- 16
- Issue
- 2
- Pages
- 198-247
- ISSN
- 1740-1453 (ISSN-L)
- 1740-1461
- OpenAlex
- W4211107114
- Cited by
- 170
- References
- 1
- FWCI
- 20.24
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Right‐to‐Carry Laws and Violent Crime: A Comprehensive Assessment Using Panel Data and a State‐Level Synthetic Control Analysis. https://app.cochat.ai/papers/10.1111/jels.12219
- The paper
- Donohue, J. J., Aneja, A., & Weber, K. D. (2019). Right‐to‐Carry Laws and Violent Crime: A Comprehensive Assessment Using Panel Data and a State‐Level Synthetic Control Analysis. Journal of Empirical Legal Studies. https://doi.org/10.1111/jels.12219
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.