Does the Presence of Casinos Increase Crime? An Examination of Casino and Control Communities

Stitt, B. Grant; Nichols, Mark W.; Giacopassi, David

doi:10.1177/0011128702251058

Cited by 56 publications

(33 citation statements)

References 17 publications

(24 reference statements)

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“…While less numerous, other studies have looked at how casino introduction has impacted consumers' behavior with respect to related sectors of the local economy, such as hotels, restaurants, bars, and property values (e.g., Anders et al, 1998;Popp and Stehwien, 2002;Siegel and Anders, 1999;Wenz, 2007). Of course, other researchers have also recognized that this large increase in the presence of casinos and gambling could have important impacts on crime, bankruptcy, divorce, and other social ills (e.g., Barron et al, 2002;Curran and Scarpitti, 1991;Garrett and Nichols, 2008;Grinols and Mustard, 2006;Stitt et al, 2003;Thalheimer and Ali, 2004). However, little attention has been paid to how the introduction of casinos into a community or region impacts drinking and driving habits and their effects.…”

Section: Background and Theoretical Considerationsmentioning

confidence: 99%

“…For example, the Connecticut-based Mohegan Sun Casino admitted that there is a problem with drunk drivers leaving their casino (WFSB Hartford, 2009). A few studies have indirectly examined the link between casinos or gambling and DUI arrests (e.g., Reuter, 1997;Stitt et al, 2003;Stokowski, 1996;Wilson, 2001), but drunk driving is not their primary focus. Furthermore, none of these studies addresses the potential link between casinos and alcoholrelated fatal accidents.…”

Section: Background and Theoretical Considerationsmentioning

confidence: 99%

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The impact of casinos on fatal alcohol-related traffic accidents in the United States

Cotti

Walker

2010

Journal of Health Economics

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Section: Background and Theoretical Considerationsmentioning

confidence: 99%

Section: Background and Theoretical Considerationsmentioning

confidence: 99%

The impact of casinos on fatal alcohol-related traffic accidents in the United States

Cotti

Walker

2010

Journal of Health Economics

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“…Data that represent the ambient population may reduce the bias that would be produced by the use of the resident population data only. For instance, Stitt, Nichols, and Giacopassi (2003) examined crime occurrences close to casinos and calculated the population at risk by combining census data with tourism data.…”

Section: Background: Population Crime Time and Placementioning

confidence: 99%

Population at risk: using areal interpolation and Twitter messages to create population models for burglaries and robberies

Kounadi

Ristea

Leitner

et al. 2017

Cartography and Geographic Information Science

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Population at risk of crime varies due to the characteristics of a population as well as the crime generator and attractor places where crime is located. This establishes different crime opportunities for different crimes. However, there are very few efforts of modeling structures that derive spatiotemporal population models to allow accurate assessment of population exposure to crime. This study develops population models to depict the spatial distribution of people who have a heightened crime risk for burglaries and robberies. The data used in the study include: Census data as source data for the existing population, Twitter geo-located data, and locations of schools as ancillary data to redistribute the source data more accurately in the space, and finally gridded population and crime data to evaluate the derived population models. To create the models, a density-weighted areal interpolation technique was used that disaggregates the source data in smaller spatial units considering the spatial distribution of the ancillary data. The models were evaluated with validation data that assess the interpolation error and spatial statistics that examine their relationship with the crime types. Our approach derived population models of a finer resolution that can assist in more precise spatial crime analyses and also provide accurate information about crime rates to the public.

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“…As a result, there are differences in findings among these studies. The consensus among these studies, however, indicates that casino gambling does not have a significant impact on street crimes [3,6,10,23,27,37,43,45].…”

Section: Literature Reviewmentioning

confidence: 99%

White collar crimes and casino gambling: looking for empirical links to forgery, embezzlement, and fraud

Albanese

2008

Crime Law Soc Change

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This study investigates the alleged link between casino gambling and arrests for the commission of the "white collar" crimes of forgery, fraud, and embezzlement. The rapid expansion of casino gaming venues in recent years has been said to have increased the incidence of white collar crimes by casino customers who get themselves in financial trouble by overspending at casinos (given the median age of 47 for casino patrons and that 41% hold white collar jobs). This study investigates this question by using several kinds of data to examine arrest and offender trends, using a follow-up period of up to 10 years to assess long-term impacts. The results indicate that, comparing pre-and post-casino average annual arrests for embezzlement, forgery, and fraud, trends show a general decrease in arrests in casino jurisdictions, although embezzlement arrests rose in Connecticut and in nationwide statistics. An assessment of the reasons offered from interviews with people convicted of embezzlement and fraud are presented to examine the extent to which gambling is a causal factor.

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Does the Presence of Casinos Increase Crime? An Examination of Casino and Control Communities

Abstract: This study is an analysis of crime in six new

Cited by 56 publications

References 17 publications

The impact of casinos on fatal alcohol-related traffic accidents in the United States

The impact of casinos on fatal alcohol-related traffic accidents in the United States

Population at risk: using areal interpolation and Twitter messages to create population models for burglaries and robberies

White collar crimes and casino gambling: looking for empirical links to forgery, embezzlement, and fraud

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