The Impact of Right to Carry Laws and the NRC Report: The Latest Lessons for the Empirical Evaluation of Law and Policy
AbstractFor over a decade, there has been a spirited academic debate over the impact on crime of laws that grant citizens the presumptive right to carry concealed handguns in public – so-called right-to-carry (RTC) laws. In 2004, the National Research Council (NRC) offered a critical evaluation of the “More Guns, Less Crime” hypothesis using county-level crime data for the period 1977-2000. 17 of the 18 NRC panel members essentially concluded that the existing research was inadequate to conclude that RTC laws increased or decreased crime. One member of the panel thought the NRC's panel data regressions showed that RTC laws decreased murder, but the other 17 responded by saying that “the scientific evidence does not support” that position. We evaluate the NRC evidence, and improve and expand on the report’s county data analysis by analyzing an additional six years of county data as well as state panel data for the period 1977-2010. We also present evidence using both a more plausible version of the Lott and Mustard specification, as well as our own preferred specification (which, unlike the Lott and Mustard model presented in the NRC report, does control for rates of incarceration and police). While we have considerable sympathy with the NRC’s majority view about the difficulty of drawing conclusions from simple panel data models and re-affirm its finding that the conclusion of the dissenting panel member that RTC laws reduce murder has no statistical support. We disagree with the NRC report’s judgment on one methodological point: while the NRC report states that cluster adjustments to correct for serial correlation are not needed in these panel data regressions, our randomization tests show that without such adjustments the Type 1 error soars to 21 - 70 percent. Our paper highlights some important questions to consider when using panel data methods to resolve questions of law and policy effectiveness. We buttress the NRC’s cautious conclusion regarding the effects of RTC laws by showing how sensitive the estimated impact of RTC laws is to different data periods, the use of state versus county data, particular specifications, and the decision to control for state trends. Overall, the most consistent, albeit not uniform, finding to emerge from both the state and county panel data models conducted over the entire period with and without state trends and using three different specifications is that aggravated assault rises when RTC laws are adopted. If one narrows the focus to the most complete data (state data over the entire 1977-2010 period) or the period from 1999-2010 (thereby removing the confounding influence of the crack cocaine epidemic) and looks at the dummy and spline models using our preferred specification, then there is always evidence within the four estimates for each of the seven crime categories that RTC laws are associated with higher rates of crime. In six of the seven crime categories, the finding that RTC laws increase crime is statistically significant at the .05 level, and for robbery, it is statistically significant at the .10 level. It will be worth exploring whether other methodological approaches and/or additional years of data will confirm the results of this panel-data analysis.
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Date of creation: Aug 2012
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- Carlisle E. Moody & John R. Lott, Jr. & Thomas B. Marvell, 2013. "Did John Lott Provide Bad Data to the NRC? A Note on Aneja, Donohue, and Zhang," Econ Journal Watch, Econ Journal Watch, vol. 10(1), pages 25-31, January.
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