Abstract
Objectives
This study examines the impact of alcohol consumption in a Major League Baseball (MLB) stadium on area level counts of crime. The modal practice at MLB stadiums is to stop selling alcoholic beverages after the seventh inning. Baseball is not a timed game, so the duration between the last call for alcohol at the end of the seventh inning and the end of the game varies considerably, providing a unique natural experiment to estimate the relationship between alcohol consumption and crime near a stadium on game days.
Methods
Crime data were obtained from Philadelphia for the period 2006–2015 and geocoded to the area around the MLB stadium as well as popular sports bars. We rely on difference-in-differences regression models to estimate the change in crime on home game days around the stadium as the game time extends into extra innings to other areas of the city and around sports bars in Philadelphia relative to days when the baseball team plays away from home.
Results
When there are extra innings and more game-time after the seventh inning alcohol sales stoppage crime declines significantly around the stadium. The crime reduction benefit of the last call alcohol policy is undone when a complex of sports bars opens in the stadium parking lot in 2012. The results suggest that alcohol consumption during baseball games is a contributor to crime.
Conclusions
The findings provide further support for environmental theories of crime that note the congregation of people in places with excessive alcohol consumption is a generator of violent crime in cities. The consumption of alcohol in MLB stadiums appears to increase crime.
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Notes
Kurland and Johnson (2019) provide detailed review of this literature.
Major League Baseball is a member of Team Coalition (along with the other major U.S. sports leagues) which does provide a list of best practices regarding alcohol sales. See https://teamcoalition.org/training/policies/
The longest game in MLB history was 25 innings and lasted eight hours and six minutes on May 8, 1984 between Chicago White Sox and the Milwaukee Brewers.
There have been fewer than 200 total instances where an individual pitcher has thrown just three pitches in an inning, but none of these instances occurred in the same inning by two opposing pitchers. See https://www.baseball-almanac.com/feats/3_pitch_inning.shtml.
San Francisco Giant Brandon Belt faced a total of 21 pitches from Los Angeles Angels pitcher Jaime Barria in the 1st inning of the April 22, 2018 match. See https://www.baseball-reference.com/boxes/ANA/ANA201804220.shtml.
The advanced statistic PACE provides some measure of how fast pitchers work. In some years, based on the PACE metric, the difference between the fastest and slowest working pitchers may be as much as 10 s per throw.
The block designated 9806 on this map https://www2.census.gov/geo/maps/dc10map/tract/st42_pa/c42101_philadelphia/DC10CT_C42101_003.pdf.
There are 66 PSAs in Philadelphia. PSAs are police patrol boundaries within police districts that were designed to be reflective of neighborhood boundaries as part of the Philadelphia Police Department’s shift to community police.
The generally available baseball game data have a specific time of first pitch and a total time of game from the first pitch to the final out, but do not include a time of the last out. To determine the time of the last out, we added the game time to the first pitch time.
The generally available baseball statistics do not note which games have rain delays. We purchased information on rain delay time from Stats Perform (formerly Stats LLC), a data provider for MLB. From 2006–2015, the Phillies played 54 games where there was rain delay time. While it might be interesting to include the variation induced by rain delays (with post seventh inning delays adding to the time when alcohol is not sold), the Stats Perform data do not note specifically when the delay time occurs. Also, since many fans leave the stadium when there is a rain delay, crime data on those days is likely not comparable.
While time stamped pitches are now available for more recent years, they are not available throughout our sample period.
A simple difference-in-difference estimate (i.e., the coefficient on the CBP and home game interaction using the CBP indicator and home game indicator as covariates) yields the following coefficients and robust standard errors: total 0.136 (0.024); assault 0.035 (0.010); theft 0.011 (0.005); liquor 0.014 (0.007); and disorderly conduct 0.009 (0.006).
We only focus on game days since non-game days cannot provide us with a pitches thrown number or a reliable proxy.
We also examined specifications that use total pitches to proxy for game duration, observing similar results.
We present the p-values from the t statistics as suggested by MacKinnon and Webb (2019), though inferences are largely unchanged if we relied on placebo coefficients.
The New York Mets, New York Yankees, Baltimore Orioles, and Washington Nationals are all within a 2.5 h drive of CBP.
This margin is used by the MLB to designate a game as a save situation.
We use the 75th percentile attendance figure of 45,135 to designate a game as high attendance.
We constructed a CBP treatment area that better approximated the natural boundaries of the stadium. We aggregate crime in the area around the ballpark between I-76 in the North, I-95 in the South, Broad Street to the West, and a 1500 feet distance to the East. We then keep all of the other census blocks constant. This re-organizing of the data allows us to construct a tighter boundary around the ballpark, perhaps shoring up confidence that any observed effect is driven by the drinking policy.
Data cover 2006–2011. Only regular season games are included in game data. Game days that include a double header or games with rain delay time are excluded from the data. Non-game days are excluded for games played in the Eastern time zone, the time period covered is the time of the first pitch to the end of the game plus one hour. For games played in different time zones, the time period covered is the time of the first pitch converted to Eastern time through the end of the game plus one hour. Xfinity Live opened in the South Philadelphia Sports Complex (which includes Citizens Bank Park) parking lot in March 2012. The area around Citizens Bank Park goes West to Broad Street, South to I-95, North to I-76, and East for 1,500 feet. Comparisons are similar distances in each direction around the following sports bars: Cavanaugh’s (Center City); Cavanaugh’s (University City); Chickie’s and Pete’s (Robbins Avenue); Chickie’s and Pete’s (Roosevelt Avenue); Garage Fishtown; Leneghan’s Crusader Inn (Northeast); the Manayunk Tavern; McGillin’s Olde Ale House (Center City); Pub Webb (North Philadelphia); and Standard Tap (Northern Liberties).
References
Anderson DM, Crost B, Rees DI (2018) Wet laws, drinking establishments and violent crime. Econ J 128(611):1333–1366
Billings SB, Depken CA (2011) Sport events and criminal activity: a spatial analysis. In: Violence and aggression in sporting contests. Springer, New York, NY, pp. 175–187
Brantingham P, Brantingham P (1995) Criminality of place. Eur Crim Policy Res 3(3):5–26
Cameron AC, Gelbach JB, Miller DL (2008) Bootstrap-based improvements for inference with clustered errors. Rev Econ Stat 90(3):414–427
Campaniello N (2013) Mega Events in sports and crime: evidence from the 1990 Football World Cup. J Sports Econ 14(2):148–170
Carpenter C, Dobkin C (2011) Alcohol Regulation and crime in controlling crime: strategies and tradeoffs. In: Cook P, Ludwig J, McCrary J (eds)
Carpenter C, Dobkin C (2015) The minimum legal drinking age and crime. Rev Econ Stat 97(2):521–524
Clarke RV (1995) Situational crime prevention. Crime Justice 19:91–150
Cohen LE, Felson M (1979) Social change and crime rate trends: a routine activity approach. Am Sociol Rev 44:588–608
Conley TG, Taber CR (2011) Inference with “difference in differences” with a small number of policy changes. Rev Econ Stat 93(1):113–125
Cook PJ, Durrance CP (2013) The virtuous tax: lifesaving and crime-prevention effects of the 1991 federal alcohol-tax increase. J Health Econ 32(1):261–267
Cook PJ, Moore MJ (1993) Violence reduction through restrictions on alcohol availability. Alcohol Res 17(2):151
Cook PJ, Moore MJ (2002) The economics of alcohol abuse and alcohol-control policies. Health Affairs 21(2):120–133
Davies T, Johnson SD (2015) Examining the relationship between road structure and burglary risk via quantitative network analysis. J Quant Criminol 31(3):481–507
Ernst MD (2004) Permutation methods: a basis for exact inference. Stat Sci 19(4):676–685
Exum ML (2002) The application and robustness of the rational choice perspective in the study of intoxicated and angry intentions to aggress. Criminology 40(4):933–966
Fagan J (1990) Intoxication and aggression. Crime Justice 13:241–320
Graham K, Bernards S, Osgood DW, Wells S (2006) Bad nights or bad bars? Multi-level analysis of environmental predictors of aggression in late-night large-capacity bars and clubs. Addiction 101(11):1569–1580
Graham K, Homel R (2012) Raising the bar. Routledge
Haberman CP, Ratcliffe JH (2015) Testing for temporally differentiated relationships among potentially criminogenic places and census block street robbery counts. Criminology 53(3):457–483
Han S, Branas CC, MacDonald JM (2016) The effect of a Sunday liquor-sales ban repeal on crime: a triple-difference analysis. Alcohol Clin Exp Res 40(5):1111–1121
Heaton P (2012) Sunday liquor laws and crime. J Public Econ 96(1–2):42–52
Humphreys DK, Eisner MP (2010) Evaluating a natural experiment in alcohol policy: The Licensing Act (2003) and the requirement for attention to implementation. Criminol Public Policy 9(1):41–67
Kurland J, Johnson SD, Tilley N (2014) Offenses around stadiums: a natural experiment on crime attraction and generation. J Res Crime Delinq 51(1):5–28
Kurland J, Johnson SD (2019) The influence of stadia and the built environment on the spatial distribution of crime. J Quant Criminol 1–32
MacKinnon JG, Webb MD (2019) Wild bootstrap randomization inference for few treated clusters . Econom Complex Survey Data: Theory Appl 39:61–85
Marie O (2016) Police and thieves in the stadium: measuring the (multiple) effects of football matches on crime. J R Stat Soc: Ser A (Stat Soc) 179(1):273–292
Matthews K, Shepherd J, Sivarajasingham V (2006) Violence-related injury and the price of beer in England and Wales. Appl Econ 38(6):661–670
Merlo LJ, Hong J, Cottler LB (2010) The association between alcohol-related arrests and college football game days. Drug Alcohol Depend 106(1):69–71
Munyo I, Rossi MA (2013) Frustration, euphoria, and violent crime. J Econ Behav Organ 89:136–142
Norström T, Skog OJ (2005) Saturday opening of alcohol retail shops in Sweden: an experiment in two phases. Addiction 100(6):767–776
Olsson O, Wikstrom POH (1982) Effects of the experimental Saturday closing of liquor retail stores in Sweden. Contemp Drug Probs 11:325
Rees DI, Schnepel KT (2009) College football games and crime. J Sports Econ 10(1):68–87
Ridgeway G, MacDonald JM (2017) Effect of rail transit on crime: a study of Los Angeles from 1988 to 2014. J Quant Criminol 33(2):277–291
Sherman LW (1992) Attacking crime: police and crime control. Crime Justice 15:159–230
Sherman LW, Gartin PR, Buerger ME (1989) Hot spots of predatory crime: routine activities and the criminology of place. Criminology 27(1):27–56
Sivarajasingam V, Matthews K, Shepherd J (2006) Price of beer and violence-related injury in England and Wales. Injury 37(5):388–394
Tillyer MS, Wilcox P, Walter RJ (2020) Crime generators in context: examining ‘place in neighborhood’ propositions. J Quant Criminol. https://doi.org/10.1007/s10940-019-09446-5
Vandeviver C, Bernasco W, Van Daele S (2019) Do sports stadiums generate crime on days without matches? A natural experiment on the delayed exploitation of criminal opportunities. Secur J 32(1):1–19
Weisburd D, Maher L, Sherman L, Buerger M, Cohn E, Petrisino A (1992) Contrasting crime general and crime specific theory: The case of hot spots of crime. Adv Criminol Theory 4(1):45–69
Weisburd D, Groff ER, Yang SM (2012) The criminology of place: street segments and our understanding of the crime problem. Oxford University Press.
Wilcox P, Gialopsos BM (2015) Crime-event criminology: an overview. J Contemp Criminol 31:4–11
Wilcox P, Cullen FT (2018) Situational opportunity theories of crime. Annu Rev Criminol 1:123–148
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Klick, J., MacDonald, J. Sobering Up After the Seventh Inning: Alcohol and Crime Around the Ballpark. J Quant Criminol 37, 813–834 (2021). https://doi.org/10.1007/s10940-021-09497-7
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DOI: https://doi.org/10.1007/s10940-021-09497-7