[Skip to Navigation]
Sign In
Figure 1.  Effect of “Stand Your Ground” Law on Homicide and Homicide by Firearm
Effect of “Stand Your Ground” Law on Homicide and Homicide by Firearm

Data points represent monthly rates of homicide and homicide by firearm in Florida and comparison states (New York, New Jersey, Ohio, and Virginia) between 1999 and 2014. Florida is represented by orange data points and regression lines and the comparison states by blue data points and regression lines. Gray-shaded areas depict the onset of Florida’s stand your ground law. Straight-hatched lines represent fitted estimates using a linear step change model. The curved lines represent fitted values for seasonally adjusted models.

Figure 2.  Stratified Analyses for Florida
Stratified Analyses for Florida

Data points represent monthly rates of homicide and homicide by firearm in Florida between 1999 and 2014. Orange data points represent monthly rates of homicide and blue data points represent monthly rates of homicide by firearm. Gray-shaded areas depict the onset of Florida’s “stand your ground law.” Straight-hatched line represents fitted estimates using a linear step change model. The curved lines represent fitted values for seasonally adjusted models.

Table 1.  The Impact of Florida's “Stand Your Ground” Self-defense Laws on Homicide and Homicide by Firearm
The Impact of Florida's “Stand Your Ground” Self-defense Laws on Homicide and Homicide by Firearm
Table 2.  Florida Stratified Analysis
Florida Stratified Analysis
1.
Catalfamo  C.  Stand your ground: Florida’s castle doctrine for the twenty-first century.  J Law Pub Policy. 2007;4(3):504-545.Google Scholar
2.
Ackermann  N, Goodman  MS, Gilbert  K, Arroyo-Johnson  C, Pagano  M.  Race, law, and health: Examination of ‘Stand Your Ground’ and defendant convictions in Florida.  Soc Sci Med. 2015;142:194-201.PubMedGoogle Scholar
3.
Light  C. From a duty to retreat to stand your ground the race and gender politics of do-it-yourself-defense.  Cult Stud Crit Methodol. 2015;15(4):292-298.Google Scholar
4.
Boots  DP, Bihari  J, Elliott  E.  The state of the castle an overview of recent trends in state castle doctrine legislation and public policy.  Crim Justice Rev. 2009;34(4):515-535.Google Scholar
5.
Severson  K. One man lost and impaired, the other fearful and armed. The New York Times. December 3, 2013. http://www.nytimes.com/2013/12/04/us/one-man-lost-and-impaired-the-other-fearful-and-armed.html. Accessed February 15, 2016.
6.
Spitzer  RJ. Stand your ground makes no sense. The New York Times. May 4, 2015. http://www.nytimes.com/2015/05/04/opinion/stand-your-ground-makes-no-sense.html. Accessed February 15, 2016.
7.
Mayors Against Illegal Guns. Shoot First: “Stand Your Ground” Laws and Their Effect on Violent Crime and the Criminal Justice System. National Urban League; 2013. https://everytownresearch.org/reports/shoot-first/. Accessed February 15, 2016.
8.
Ren  L, Zhang  Y, Zhao  JS.  The deterrent effect of the castle doctrine law on burglary in Texas: a tale of outcomes in Houston and Dallas.  Crime Delinq. 2015;61(8):1127-1151Google Scholar
9.
Chamlin  MB.  An assessment of the intended and unintended consequences of Arizona’s Self-Defense, Home Protection Act.  J Crim Justice. 2014;37(3):327-338.Google Scholar
10.
Cheng  C, Hoekstra  M.  Does strengthening self-defense law deter crime or escalate violence? evidence from expansions to castle doctrine.  J Hum Resour. 2013;48(3):821-854.Google Scholar
11.
McClellan  CB, Tekin  E. Stand Your Ground Laws, Homicides, and Injuries. National Bureau of Economic Research; 2012. http://www.nber.org/papers/w18187. Accessed February 5, 2016.
12.
Gius  M.  The relationship between stand-your-ground laws and crime: a state-level analysis.  Soc Sci J. 2016;53(3):329-338.Google Scholar
13.
Florida Code. Senate Bill 436. § 776.013; 2005.
14.
Cook  TD, Campbell  DT.  Quasi-Experimentation: Design & Analysis Issues for Field Settings. Chicago: Rand McNally & Co; 1979.
15.
Shadish  WR, Cook  TD, Campbell  DT.  Experimental and Quasi-Experimental Designs for Generalized Causal Inference. Boston: Houghton Mifflin Co; 2002.
16.
McDowall  D, McCleary  R, Meidinger  EE, Hay  RA.  Interrupted Time-Series Analysis. Thousand Oaks, CA: SAGE Publications Beverly Hills; 1980.
17.
McCleary  R, Hay  R, Meidinger  EE, McDowall  D, Land  KC.  Applied Time Series Analysis for the Social Sciences. Thousand Oaks, CA: Sage Publications Beverly Hills; 1980.
18.
Lopez Bernal  J, Cummins  S, Gasparrini  A.  Interrupted time series regression for the evaluation of public health interventions: a tutorial.  Int J Epidemiol. 2016;(June):dyw098.PubMedGoogle Scholar
19.
Lopez Bernal  JA, Gasparrini  A, Artundo  CM, McKee  M.  The effect of the late 2000s financial crisis on suicides in Spain: an interrupted time-series analysis.  Eur J Public Health. 2013;23(5):732-736. doi:10.1093/eurpub/ckt083PubMedGoogle Scholar
20.
Humphreys  DK, Eisner  MP, Wiebe  DJ.  Evaluating the impact of flexible alcohol trading hours on violence: an interrupted time series analysis.  PLoS One. 2013;8(2):e55581.PubMedGoogle Scholar
21.
Humphreys  DK.  Liquor licensing or confounding events? further questions about the interpretations of Menéndez et al. (2015).  Addiction. 2016;111(4):745-746.PubMedGoogle Scholar
22.
Coryn  CLS, Hobson  KA.  Using nonequivalent dependent variables to reduce internal validity threats in quasi-experiments: rationale, history, and examples from practice.  New Dir Eval. 2011;131:31-39.Google Scholar
23.
Centers for Disease Control and Prevention. Multiple Cause of Death 1999–2014 on CDC WONDER online database. http://wonder.cdc.gov.mcd-icd10.html. Published 2016. Accessed January 21, 2016.
24.
World Health Organisation. International Statistical Classification of Diseases and Related Health Problems. Malta: World Health Organisation; 2010. http://www.who.int/classifications/icd/ICD10Volume2_en_2010.pdf. Accessed September 11, 2016.
25.
United States Census Bureau. Historical population estimates. https://www.census.gov/popest/data/historical/index.html. Published 2016. Accessed January 1, 2016.
26.
Wagner  AK, Soumerai  SB, Zhang  F, Ross-Degnan  D.  Segmented regression analysis of interrupted time series studies in medication use research.  J Clin Pharm Ther. 2002;27(4):299-309.PubMedGoogle Scholar
27.
Bhaskaran  K, Gasparrini  A, Hajat  S, Smeeth  L, Armstrong  B.  Time series regression studies in environmental epidemiology.  Int J Epidemiol. 2013;42(4):1187-1195.PubMedGoogle Scholar
28.
Andrews  DWK.  Heteroskedasticity and autocorrelation consistent covariance matrix estimation.  Econometrica. 1991;59(3):817-858.Google Scholar
29.
Shepherd  J, Page  N.  The economic downturn probably reduced violence far more than licensing restrictions.  Addiction. 2015;110(10):1583-1584.PubMedGoogle Scholar
30.
Branas  CC, Kastanaki  AE, Michalodimitrakis  M,  et al.  The impact of economic austerity and prosperity events on suicide in Greece: a 30-year interrupted time-series analysis.  BMJ Open. 2015;5(1):e005619.PubMedGoogle Scholar
31.
Chang  S-S, Stuckler  D, Yip  P, Gunnell  D.  Impact of 2008 global economic crisis on suicide: time trend study in 54 countries.  BMJ. 2013;347:f5239.PubMedGoogle Scholar
32.
Pinker  S.  The Better Angels of Our Nature: A History of Violence and Humanity. London: Penguin; 2012.
Original Investigation
Firearm Violence
January 2017

Evaluating the Impact of Florida’s “Stand Your Ground” Self-defense Law on Homicide and Suicide by Firearm: An Interrupted Time Series Study

Author Affiliations
  • 1Department of Social Policy and Intervention, University of Oxford, Oxford, United Kingdom
  • 2Green Templeton College, University of Oxford, Oxford, United Kingdom·
  • 3Department of Social & Environmental Health Research, London School of Hygiene and Tropical Medicine, London, United Kingdom
  • 4Department of Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia
JAMA Intern Med. 2017;177(1):44-50. doi:10.1001/jamainternmed.2016.6811
Key Points

Question  Did the implementation of Florida’s “stand your ground” self-defense law have an impact on homicide and homicide by firearm between 2005 and 2014?

Findings  This study used an interrupted time series design to analyze changes in rates of homicide and firearm-related homicide. We found that the implementation of Florida’s stand your ground law was associated with a 24.4% increase in homicide and a 31.6% increase in firearm-related homicide.

Meaning  The removal of restrictions on when and where individuals can use lethal force was associated with a significant increase in homicide and homicide by firearm in Florida.

Abstract

Importance  In 2005, Florida amended its self-defense laws to provide legal immunity to individuals using lethal force in self-defense. The enactment of “stand your ground” laws in the United States has been controversial and their effect on rates of homicide and homicide by firearm is uncertain.

Objective  To estimate the impact of Florida’s stand your ground law on rates of homicide and homicide by firearm.

Design, Setting, and Participants  Using an interrupted time series design, we analyzed monthly rates of homicide and homicide by firearm in Florida between 1999 and 2014. Data were collected from the Wide-ranging Online Data for Epidemiologic Research (WONDER) web portal at the Centers for Disease Control and Prevention. We used seasonally adjusted segmented Poisson regression models to assess whether the onset of the law was associated with changes in the underlying trends for homicide and homicide by firearm in Florida. We also assessed the association using comparison states without stand your ground laws (New York, New Jersey, Ohio, and Virginia) and control outcomes (all suicides and suicides by firearm in Florida). October 1, 2005, the effective date of the law, was used to define homicides before and after the change.

Main Outcomes and Measures  Monthly rates of homicide, firearm-related homicide, suicide, and suicide by firearm in Florida and the 4 comparison states.

Results  Prior to the stand your ground law, the mean monthly homicide rate in Florida was 0.49 deaths per 100 000 (mean monthly count, 81.93), and the rate of homicide by firearm was 0.29 deaths per 100 000 (mean monthly count, 49.06). Both rates had an underlying trend of 0.1% decrease per month. After accounting for underlying trends, these results estimate that after the law took effect there was an abrupt and sustained increase in the monthly homicide rate of 24.4% (relative risk [RR], 1.24; 95%CI, 1.16-1.33) and in the rate of homicide by firearm of 31.6% (RR, 1.32; 95% CI, 1.21-1.44). No evidence of change was found in the analyses of comparison states for either homicide (RR, 1.06; 95% CI, 0.98-1.13) or homicide by firearm (RR, 1.08; 95% CI, 0.99-1.17). Furthermore, no changes were observed in control outcomes such as suicide (RR, 0.99; 95% CI, 0.94-1.05) and suicide by firearm (RR, 0.98; 95% CI, 0.91-1.06) in Florida between 2005 and 2014.

Conclusions and Relevance  The implementation of Florida’s stand your ground self-defense law was associated with a significant increase in homicides and homicides by firearm but no change in rates of suicide or suicide by firearm.

Introduction

Throughout the United States the application of lethal force as a means of self-defense is governed by criminal law.1 Since the colonial era, it has been an individual’s “duty to retreat” from perceived threats before resorting to any use of force. When force is unavoidable for self-defense, one must demonstrate that steps were taken to retreat first. The “castle doctrine” is an exception, granting individuals who encounter threats in their own home (ie, their castle) immunity when using lethal force.2 Since 2005, states across the United States have made changes to their self-defense laws, removing the duty to retreat and allowing the use of lethal force in situations (inside and outside the home) where an individual perceives a threat of harm.3

“Stand your ground” laws have been implemented in 23 states to date, with considerable debate about their potential impact on public health (Box).4-6 Advocates of the laws suggest that the increased threat of retaliatory violence deters would-be burglars, resulting in fewer intruder encounters.4 Critics are concerned that weakening the punitive consequences of using force may serve to escalate aggressive encounters.7 They also argue that these laws may exacerbate racial disparities in homicide where threats motivated by racial stereotypes produce unnecessary fatalities.2,7

Box Section Ref ID
Box.

States That Have Enacted “Stand Your Ground” Lawsa

State Name (Year Original Law Signed)
  • Utah (1994)b

  • Florida (2005)

  • Alabama (2006)

  • Alaska (2006)

  • Arizona (2006)

  • Georgia (2006)

  • Indiana (2006)

  • Kansas (2006)

  • Kentucky (2006)

  • Louisiana (2006)

  • Michigan (2006)

  • Mississippi (2006)

  • Oklahoma (2006)

  • South Carolina (2006)

  • South Dakota (2006)

  • Tennessee (2007)

  • Texas (2007)

  • West Virginia (2008)

  • Montana (2009)

  • Nevada (2011)

  • New Hampshire (2011)

  • North Carolina (2011)

  • Pennsylvania (2011)

a Definitions of states that have enacted “stand your ground” laws were derived by cross-referencing several resources (eg, smartgunlaws.org and NRA.org) as well as recent publications.7,11,12

b Utah was the first state to pass a law that expanded a citizen’s right to use lethal force in public places. Florida was the first state to draft and pass a specific stand your ground law. The conditions of each law vary.

Few evaluations of the impact of stand your ground laws on homicide have been conducted. Evaluations of Arizona’s and Texas’ stand your ground laws found no statistically significant impact on homicide.8,9 Several observational studies have assessed whether homicide rates are higher in states with stand your ground laws compared with states without. Using uniform crime reports from the Federal Bureau of Investigation (FBI), 1 study that used a difference in differences design to examine changes in 20 states that enacted stand your ground laws between 2000 and 2010 compared with all nonparticipating states found an associated 8% increase in homicide.10 A study using US vital statistics data for the same time period, using comparable methods for the same states, found that the enactment was associated, on average, with a 7.1% increase in homicides.11 In 2016 a study by Gius,12 using uniform crime reports (FBI data) between 1995 and 2010, found no relationship between the enactment of stand your ground laws and either homicide or firearm homicide.

On April 26, 2005, Governor Jeb Bush signed Florida State Bill 436, enacting Florida’s stand your ground law.3,13 The law increased the scope of self-defense claims by creating a “no duty to retreat” rule when individuals “reasonably believed” that force was necessary to prevent harm to themselves or others.2 The Florida law extended the no duty to retreat clause of the castle doctrine to public places. In addition, the law created a series of conditions to strengthen the rights of individuals claiming self defense, including extending no duty to retreat to situations where the defendant initiated a confrontation, extending the use of lethal force as a legitimate defense for the protection of private property (eg, to deter vehicle theft), entitling defendants to pretrial immunity hearings allowing judges to sanction immunity prior to jury trial, and providing defendants with immunity from any ensuing civil lawsuits.1,7

As the first state to implement a stand your ground law, Florida is an important test case about the removal of the duty to retreat principle. We used the years that have elapsed since the enactment of the Florida law as a natural experiment to assess its impact on rates of homicide and homicide by firearm.

Methods
Study Design

We used an interrupted time series design to compare monthly rates of homicide in Florida before and after the stand your ground law came into effect on October 1, 2005. Interrupted time series designs use data that are collected over time, usually recorded at regular intervals (eg, months).14-17 These data are used to identify an underlying trend and when an intervention (eg, new law) occurs at a known time, postintervention trends can be examined for distinct changes from preexisting trends—thus serving as the counterfactual.18 This study design can be valuable in situations where retrospective evaluations of population level interventions are required.19,20

A potential limitation of interrupted time series designs is the possibility that other factors that occur simultaneously may distort estimates of intervention effects. Such factors might include national changes in social or economic variables (eg, a recession) or events that have a profound and lasting impact on society (eg, natural disasters). Additional design elements can be added to interrupted time series designs to assess whether such factors are influencing statistical estimates.14,15 We employed 2 such design features: analysis of homicide rates in 4 comparison states (New York, New Jersey, Ohio, and Virginia), and analysis of control outcomes (suicide and suicide by firearm).

These analyses help to rule out the possibility of misattributing any changes to causal factors unrelated to the intervention in question. From the 27 states that had not implemented stand your ground laws as of September 2016 only 4 had consistent monthly homicide data that could be used for analysis. The analyses of suicide and suicide by firearm tested for comparable intervention effects in variables that may be equally sensitive to social and economic trends, but that we did not hypothesize to be affected by the stand your ground law. If patterns in these analyses showed changes similar to those found in our analyses of homicide and homicide by firearm, it may be reasonable to assume that any estimated intervention effect was not attributable to the stand your ground law.14,15,20-22

Data Sources

We collected monthly totals of homicides and suicides (in total and for firearm-related cases) for Florida between January 1999 and December 2014. The data were accessed through the Centers for Disease Control and Prevention’s (CDC) Wide-ranging Online Data for Epidemiologic Research (WONDER) web portal.23 We classified cases by place of occurrence (within or outside the State of Florida), cause of death (homicide or suicide), mechanism (firearms or other means), and month of occurrence. We classified causes of death using the International Classification of Diseases, 10th Revision (ICD-10).24

Outcome Measures

We extracted 4 monthly time series: (a) all homicide (ICD-10, X85 to Y09); (b) all suicide (ICD-10, X60 to X84); (c) homicide by firearm (ICD-10, X93-X95); and (d) suicide by firearm (ICD-10, X72-X74). Additional analyses were disaggregated by racial and ethnic grouping (white or African American), age group (0-19 years, 20-34 years, and ≥35 years), and sex (male or female) for all outcomes. Population denominators were calculated separately for each series using annual population estimates from the US Census Bureau.25 In total, each of these time series spanned 192 months (82 preintervention and 110 postintervention).

Data Analysis

We evaluated whether postintervention trends in homicide and homicide by firearm in Florida differed significantly from preintervention trends. We used segmented quasi-Poisson regression analysis to analyze trends in both periods and estimate an effect size taking underlying trends into account. Recent technical tutorials provide a detailed explanation of these models.18,26 Time series analyses may be confounded by seasonal effects that generate stable highs and lows in data trends. To account for this we applied seasonal models, using harmonic terms that control for seasonal influences.18,19,27 Owing to the time sequencing of data points used in time series analysis, residual autocorrelation can lead to the violation of regression assumptions. Where significant residual autocorrelation was detected (P < .10) and the assumptions of the general linear models became problematic, robust standard errors were generated (using a sandwich estimator) to produce more conservative estimates of uncertainty.28

Owing to the nature of the intervention—a legal change fixed at 1 point in time—we hypothesized the potential impact of Florida’s stand your ground law as an immediate and permanent change.18 Analysis was repeated for comparison states without stand your ground laws to test the validity of any effects observed for Florida. The comparison between Florida and other states was tested statistically by including an interaction term in a single model including intervention and comparison states. In addition, sensitivity analysis was performed using rates of suicide and firearm suicide as a control outcome for both Florida and comparison states. This was done to assess specific biases that may have resulted from the onset of the 2008 economic crisis in the United States, which could potentially effect homicide rates indirectly.29 We chose suicide because recent research shows a significant association between suicide and the onset of the 2008 financial crises and subsequent austerity policies.19,30,31

Stratified analysis was conducted to investigate whether the stand your ground law may have had a distributional impact on race and ethnicity, age group, and sex in Florida. Where large numbers of data points were missing or suppressed owing to small cell counts (eg, <10 cases per month), we could not analyze certain population groups separately. This included: Hispanic populations (all analyses); children and adolescents (≤19 years); African American populations (suicide and suicide by firearm); and females (homicide). Thus, analyses for these groups are not reported. All data analysis was conducted in R statistical software (version 3.1.2; RStudio, Inc) using RStudio (version 0.99.486; RStudio Inc). Statistical significance was taken as P < .05.

Results

Between 1999 and October 2005, Florida had a mean monthly homicide count of 81.93, a homicide rate of 0.49 deaths per 100 000 population and a mean monthly homicide by firearm count of 49.06, a homicide by firearm rate of 0.29 deaths per 100 000 population, with 59.1% of all homicides resulting from firearm injuries. There was a slight decline in monthly rates of homicide and homicide by firearm over this period. In the 9 years following the implementation of the stand your ground law, both rates increased with a mean monthly count of 99.22 and 69.29, respectively (homicide, 0.53 deaths per 100 000 population; homicide by firearm, 0.37 deaths per 100 000 population; 69.8% of homicides by firearm) (Table 1). After accounting for underlying trends, we estimated a 24.4% (RR, 1.24; 95% CI; 1.16-1.33; P < .001) increase in the postintervention monthly homicide rate when compared with preintervention trends. For homicide by firearm the findings were similar, with an estimated 31.6% (RR, 1.32; 95% CI, 1.21-1.44; P < .001) increase in postintervention monthly homicides by firearm when compared with preintervention trends. Figure 1A displays the magnitude of these effects for homicide and Figure 1B shows homicide by firearm in relation to trends in the comparison states.

We compared these findings with comparison states to test whether such increases in patterns of homicide and homicide by firearm were present in states unexposed to changes in self-defense laws. We found no significant changes in postintervention homicide rates in the comparison states when compared with preintervention trends (RR, 1.06; 95% CI, 0.98-1.13). Interaction models comparing Florida and the comparison states found a significant difference between intervention effects (RR, 1.24 vs RR, 1.06; P < .001).

For homicide by firearm rates, we found no significant changes in postintervention firearm homicide when compared with preintervention trends in control states (RR, 1.08; 95% CI, 0.99-1.17). A formal test of difference between Florida and comparison states found a significant difference in the patterns of homicide by firearm after the Florida law took effect (RR, 1.32 vs RR, 1.08; P < .001).

Analyses of suicide and suicide by firearms in Florida following the enactment of the law showed no evidence of effects comparable to those for homicide and homicide by firearm. Prior to the implementation of the law, the mean monthly suicide rate in Florida was 1.13 per 100 000 (mean monthly count 188.30) vs after the law took effect, with 1.23 deaths per 100 000 and a mean monthly count of 232.50 (relative risk, 0.99; 95% CI, 0.94-1.05; P = .97). These findings help rule out the possibility that our estimates may have been confounded by other social or economic trends (eg, the 2008 economic recession) that may have had an impact on the patterns of homicide.

Stratified analyses for Florida found that the increases in homicide affected all demographic groups, but that the magnitude of effects was distributed unevenly across the population (Table 2). Comparing preintervention and postintervention trends, the onset of the stand your ground law was associated with significant increases in homicide for whites (28.7%) (Figure 2B); African Americans (20.4%); those aged 20 to 34 years (31.7%) (Figure 2A); those 35 years or older (13.8%); males (28.1%); and females (13.5%). Similar patterns were observed when comparing preintervention and postintervention trends for homicide by firearm in Florida (Table 2). These findings suggested a statistically significant increase in homicide by firearm for whites (45.1%) (Figure 2B); African Americans (22.9%); those 20 to 34 years (35.8%) (Figure 2A); those 35 years and older (21.5%); and males (31.8%). For suicide and suicide by firearm, we found no significant differences before and after the law took effect.

Discussion

Since Florida’s stand your ground law took effect in October 2005, rates of homicide and homicide by firearm in the state have significantly increased; through 2014, monthly rates of homicide increased by 24.4% and monthly rates of homicide by firearm by 31.6%. These increases appear to have occurred despite a general decline in homicide in the United States since the early 1990s.32 In contrast, rates of homicide and homicide by firearm did not increase in states without a stand your ground law (New York, New Jersey, Ohio, and Virginia), or for either suicide or suicide by firearm. Our findings support the hypothesis that increases in the homicide and homicide by firearm rates in Florida are related to the stand your ground law. We found increases in homicide and homicide by firearm in Florida in all the demographic groupings we examined; the largest proportional increases were in those aged 20 to 34 years and among whites.

The increases in homicide and firearm homicide we report are greater than those reported elsewhere—where increases in homicide were estimated to be less than 10%.10,11 These differences may reflect differences in the stand your ground laws between states (the other studies were not of Florida’s law), and differences in sociodemographic and cultural factors, as well as firearm and other laws.

Limitations

Our study has limitations. Circumstances unique to Florida may have contributed to our findings, including those that we could not identify. We did not compare the impact of stand your ground laws across states; such analyses are susceptible to biases owing to differences in regulatory contexts and events or other factors that influence homicide and firearm homicide rates but that are unique to a particular state. Finally, there has been considerable debate over the potential of the Florida law to deter crime and improve public safety.30,31 Our study examined the effect of the Florida law on homicide and homicide by firearm, not on crime and public safety. We also did not study the effects on firearm injuries other than homicide or suicide.

Conclusions

The enactment of Florida’s stand your ground law in 2005 has been associated with abrupt and sustained increases in homicide and homicide by firearm in the state.

Back to top
Article Information

Corresponding Author: David K. Humphreys, PhD, Department of Social Policy and Intervention, University of Oxford, 32 Wellington Square, Oxford, OX1 2ER, England (david.humphreys@spi.ox.ac.uk).

Accepted for Publication: September 16, 2016.

Published Online: November 14, 2016. doi:10.1001/jamainternmed.2016.6811

Author Contributions: Drs Humphreys and Wiebe had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the analysis.

Concept and design: All authors.

Acquisition, analysis, or interpretation of data: All authors.

Drafting of the manuscript: Humphreys, Wiebe.

Critical revision of the manuscript for important intellectual content: All authors.

Statistical analysis: All authors.

Administrative, technical, or material support: Humphreys.

Study supervision: Wiebe.

Conflict of Interest Disclosures: None reported.

References
1.
Catalfamo  C.  Stand your ground: Florida’s castle doctrine for the twenty-first century.  J Law Pub Policy. 2007;4(3):504-545.Google Scholar
2.
Ackermann  N, Goodman  MS, Gilbert  K, Arroyo-Johnson  C, Pagano  M.  Race, law, and health: Examination of ‘Stand Your Ground’ and defendant convictions in Florida.  Soc Sci Med. 2015;142:194-201.PubMedGoogle Scholar
3.
Light  C. From a duty to retreat to stand your ground the race and gender politics of do-it-yourself-defense.  Cult Stud Crit Methodol. 2015;15(4):292-298.Google Scholar
4.
Boots  DP, Bihari  J, Elliott  E.  The state of the castle an overview of recent trends in state castle doctrine legislation and public policy.  Crim Justice Rev. 2009;34(4):515-535.Google Scholar
5.
Severson  K. One man lost and impaired, the other fearful and armed. The New York Times. December 3, 2013. http://www.nytimes.com/2013/12/04/us/one-man-lost-and-impaired-the-other-fearful-and-armed.html. Accessed February 15, 2016.
6.
Spitzer  RJ. Stand your ground makes no sense. The New York Times. May 4, 2015. http://www.nytimes.com/2015/05/04/opinion/stand-your-ground-makes-no-sense.html. Accessed February 15, 2016.
7.
Mayors Against Illegal Guns. Shoot First: “Stand Your Ground” Laws and Their Effect on Violent Crime and the Criminal Justice System. National Urban League; 2013. https://everytownresearch.org/reports/shoot-first/. Accessed February 15, 2016.
8.
Ren  L, Zhang  Y, Zhao  JS.  The deterrent effect of the castle doctrine law on burglary in Texas: a tale of outcomes in Houston and Dallas.  Crime Delinq. 2015;61(8):1127-1151Google Scholar
9.
Chamlin  MB.  An assessment of the intended and unintended consequences of Arizona’s Self-Defense, Home Protection Act.  J Crim Justice. 2014;37(3):327-338.Google Scholar
10.
Cheng  C, Hoekstra  M.  Does strengthening self-defense law deter crime or escalate violence? evidence from expansions to castle doctrine.  J Hum Resour. 2013;48(3):821-854.Google Scholar
11.
McClellan  CB, Tekin  E. Stand Your Ground Laws, Homicides, and Injuries. National Bureau of Economic Research; 2012. http://www.nber.org/papers/w18187. Accessed February 5, 2016.
12.
Gius  M.  The relationship between stand-your-ground laws and crime: a state-level analysis.  Soc Sci J. 2016;53(3):329-338.Google Scholar
13.
Florida Code. Senate Bill 436. § 776.013; 2005.
14.
Cook  TD, Campbell  DT.  Quasi-Experimentation: Design & Analysis Issues for Field Settings. Chicago: Rand McNally & Co; 1979.
15.
Shadish  WR, Cook  TD, Campbell  DT.  Experimental and Quasi-Experimental Designs for Generalized Causal Inference. Boston: Houghton Mifflin Co; 2002.
16.
McDowall  D, McCleary  R, Meidinger  EE, Hay  RA.  Interrupted Time-Series Analysis. Thousand Oaks, CA: SAGE Publications Beverly Hills; 1980.
17.
McCleary  R, Hay  R, Meidinger  EE, McDowall  D, Land  KC.  Applied Time Series Analysis for the Social Sciences. Thousand Oaks, CA: Sage Publications Beverly Hills; 1980.
18.
Lopez Bernal  J, Cummins  S, Gasparrini  A.  Interrupted time series regression for the evaluation of public health interventions: a tutorial.  Int J Epidemiol. 2016;(June):dyw098.PubMedGoogle Scholar
19.
Lopez Bernal  JA, Gasparrini  A, Artundo  CM, McKee  M.  The effect of the late 2000s financial crisis on suicides in Spain: an interrupted time-series analysis.  Eur J Public Health. 2013;23(5):732-736. doi:10.1093/eurpub/ckt083PubMedGoogle Scholar
20.
Humphreys  DK, Eisner  MP, Wiebe  DJ.  Evaluating the impact of flexible alcohol trading hours on violence: an interrupted time series analysis.  PLoS One. 2013;8(2):e55581.PubMedGoogle Scholar
21.
Humphreys  DK.  Liquor licensing or confounding events? further questions about the interpretations of Menéndez et al. (2015).  Addiction. 2016;111(4):745-746.PubMedGoogle Scholar
22.
Coryn  CLS, Hobson  KA.  Using nonequivalent dependent variables to reduce internal validity threats in quasi-experiments: rationale, history, and examples from practice.  New Dir Eval. 2011;131:31-39.Google Scholar
23.
Centers for Disease Control and Prevention. Multiple Cause of Death 1999–2014 on CDC WONDER online database. http://wonder.cdc.gov.mcd-icd10.html. Published 2016. Accessed January 21, 2016.
24.
World Health Organisation. International Statistical Classification of Diseases and Related Health Problems. Malta: World Health Organisation; 2010. http://www.who.int/classifications/icd/ICD10Volume2_en_2010.pdf. Accessed September 11, 2016.
25.
United States Census Bureau. Historical population estimates. https://www.census.gov/popest/data/historical/index.html. Published 2016. Accessed January 1, 2016.
26.
Wagner  AK, Soumerai  SB, Zhang  F, Ross-Degnan  D.  Segmented regression analysis of interrupted time series studies in medication use research.  J Clin Pharm Ther. 2002;27(4):299-309.PubMedGoogle Scholar
27.
Bhaskaran  K, Gasparrini  A, Hajat  S, Smeeth  L, Armstrong  B.  Time series regression studies in environmental epidemiology.  Int J Epidemiol. 2013;42(4):1187-1195.PubMedGoogle Scholar
28.
Andrews  DWK.  Heteroskedasticity and autocorrelation consistent covariance matrix estimation.  Econometrica. 1991;59(3):817-858.Google Scholar
29.
Shepherd  J, Page  N.  The economic downturn probably reduced violence far more than licensing restrictions.  Addiction. 2015;110(10):1583-1584.PubMedGoogle Scholar
30.
Branas  CC, Kastanaki  AE, Michalodimitrakis  M,  et al.  The impact of economic austerity and prosperity events on suicide in Greece: a 30-year interrupted time-series analysis.  BMJ Open. 2015;5(1):e005619.PubMedGoogle Scholar
31.
Chang  S-S, Stuckler  D, Yip  P, Gunnell  D.  Impact of 2008 global economic crisis on suicide: time trend study in 54 countries.  BMJ. 2013;347:f5239.PubMedGoogle Scholar
32.
Pinker  S.  The Better Angels of Our Nature: A History of Violence and Humanity. London: Penguin; 2012.
×