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--> 5 Social and Economic Effects The growth of legal gambling in the United States in recent decades has been fueled largely by increasing public acceptance of gambling as a form of recreation, and by the promise of substantial economic benefits and tax revenues for the communities in which the gambling occurs. There is no question that legalized gambling has brought economic benefits to some communities; just as there is no question that problem gambling has imposed economic and social costs. The important question, from a public policy perspective, is which is larger and by how much. Clearly, to address this and related policy issues, the economic and social costs of pathological gambling need to be considered in the context of the overall impact that gambling has on society. The benefits are borne out in reports, for example, of increased employment and income, increased tax revenues, enhanced tourism and recreational opportunities, and rising property values (e.g., Eadington, 1984; Filby and Harvey, 1988; Chadbourne et al., 1997, Oddo, 1997). American Indian communities in particular, both on and off reservations, reportedly have realized positive social and economic effects from gambling "that far outweigh the negative" (Cornell et al., 1998:iv; see also Anders, 1996; Cozzetto 1995). Gambling has also resulted in economic and social costs to
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--> individuals and families, as well as to communities, as discussed in this chapter. Such costs include traffic congestion, demand for more public infrastructure or services (roads, schools, police, fire protection, etc.), environmental effects, displacement of local residents, increased crime, and pathological or problem gambling. To the extent that pathological gambling contributes to bankruptcy and bad debts, these increase the cost of credit throughout the economy. We use the term "costs" to include the negative consequences of pathological gambling for gamblers, their immediate social environments, and the larger community. As we said, the fundamental policy question is whether the benefits or the costs are larger and by how much. This can in theory be determined with benefit-cost analysis. Complicating such analysis, however, is the fact that social and economic effects can be difficult to measure. This is especially true for intangible social costs, such as emotional pain and other losses experienced by family members of a pathological gambler, and the productivity losses of employees who are pathological or problem gamblers. Beneficial effects can also be difficult to measure and, as with costs, can vary in type and magnitude across time and gambling venues, as well as type of gambling (e.g., lotteries, land-based casinos, riverboat casinos, bingo, pari-mutuel gambling, offtrack betting, sports betting). Ideally, the fundamental benefit-versus-cost question should be asked for each form of gambling and should take into consideration such economic factors as real costs versus economic transfers, tangible and intangible effects, direct and indirect effects, present and future values (i.e., discounting), and gains and losses experienced by different groups in various settings (Gramlich, 1990:229). Moreover, the costs and benefits of pathological gambling need to be considered in the context of the overall effects that gambling has on society.1 Unfortunately, the state of research into the benefits and costs of gambling generally, and into the costs of pathological gambling specifically, is not sufficiently advanced to allow definitive conclusions to be drawn. Few reliable 1 The committee recognizes that the possibility of benefits deriving from pathological gambling are only theoretical and are neither described in the literature nor supported empirically.
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--> economic impact analyses or benefit-cost analyses have been done, and those that exist have focused on casino gambling. Consequently, the committee is not able to shed as much light on the costs of pathological gambling as we would have preferred. We hope, however, that the chapter lays out the issues for readers and provides some guidance to researchers venturing into this area. Costs to Individuals2 As discussed in Chapter 2, the definition of pathological gambling includes adverse consequences to the individual, such as involvement in crime, financial difficulties, and disruptions of interpersonal relations. According to the criteria presented in the Diagnostic and Statistical Manual of Mental Disorders (DSM), a pathological gambler may be and often is defined by the presence of at least a few of these consequences (American Psychiatric Association, 1994). Discussions of the costs to the individual of pathological gambling would be circular if we claimed to "discover" these consequences. Instead, we focus on the magnitude and the extent to which pathological gamblers experience these adverse consequences. The literature on individual costs of pathological gambling considers consequences for the gambler and those with whom the gambler has most frequent interactions, including family, friends, and close associates. The literature focuses primarily on crime, financial difficulties, and disruptions of interpersonal relations. Like the research on risk factors discussed in Chapter 4, because most of these studies are based on treatment populations with small samples and no controls, we urge caution when interpreting the results. Many families of pathological gamblers suffer from a variety of financial, physical, and emotional problems (Abbott et al., 1995; Boreham et al., 1996; Lorenz and Yafee, 1986). The financial con- 2 The committee expresses special thanks to Lia Nower for her synthesis and written presentation of literature pertaining to the social costs of pathological gambling to individuals, families, communities, and society.
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--> sequences of living with a pathological gambler can range from bad credit and legal difficulties to complete bankruptcy. Lorenz and Shuttlesworth (1983) surveyed the spouses of compulsive gamblers at Gam-Anon, the family component of Gamblers Anonymous, and found that most of them had serious emotional problems and had resorted to drinking, smoking, overeating, and impulse spending. In a similar study, Lorenz and Yaffee (1988) found that the spouses of pathological gamblers suffered from chronic or severe headaches, stomach problems, dizziness, and breathing difficulties, in addition to emotional problems of anger, depression, and isolation. Jacobs and colleagues (1989) compared children who characterized their parents as compulsive gamblers with those who reported their parents as having no gambling problems. Children of compulsive gamblers were more likely to smoke, drink, and use drugs. Furthermore, they were more likely to describe their childhood as unhappy periods of their lives. Pathological gamblers are said to distance themselves from family and friends, who are alternately neglected and manipulated for "bailouts" (Custer and Milt, 1985). The ultimate relationship costs to the gambler typically become manifest when the gambler reaches a stage of desperation or hopelessness. Lesieur and Rothschild (1989) found that children of pathological gamblers frequently reported feelings of anger, sadness, and depression. Bland and colleagues (1993) estimated that 23 percent of the spouses and 17 percent of the children of pathological gamblers were physically and verbally abused. These percentages vary somewhat across studies. Lorenz and Shuttlesworth (1993) estimated that 50 percent of spouses and 10 percent of children experienced physical abuse from the pathological gambler. Research has not examined the nature and extent of the gambler's retrospective perception of losses with regard to children, friends, and family members. However, Frank and colleagues (1991) have suggested that dysfunctional family relationships bear on a pathological gambler's tendency toward self-harm. As discussed earlier, as gambling progresses toward a pathological state, there is frequently a corresponding increase in depression, shame, and guilt. Research suggests that as many as 20 percent of persons in treatment for or diagnosed with pathological gambling may attempt suicide (Moran, 1969; Livingston,
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--> 1974; Custer and Custer, 1978; McCormick et al., 1984; Lesieur and Blume, 1991; Thompson et al., 1996). In a national survey of 500 Gamblers Anonymous members, those assessed as being at highest risk for suicide were more likely to be separated or divorced (24 percent) and to have relatives who gambled or were alcoholic (60 percent). About 17 percent of gamblers who considered suicide, and 13 percent of those who had attempted it, had children with some type of addiction. Financial Problems and Crime Financial losses pose the most immediate and compelling cost to the gambler in the throes of his or her disorder. As access to money becomes more limited, gamblers often resort to crime in order to pay debts, appease bookies, maintain appearances, and garner more money to gamble (Lesieur, 1987; Meyer and Fabian, 1992). Several descriptive studies have reported widely ranging estimates of the proportion of pathological gamblers who commit offenses and serve prison terms for such offenses as fraud, stealing, embezzlement, forgery, robbery, and blackmail (Bergh and Kuhlhorn, 1994; Blaszczynsi and McConaghy, 1994a, 1994b; Lesieur and Anderson, 1995; Schwarz and Linder, 1992; Thompson et al., 1996a, 1996b). Still, when gambling establishments come to economically depressed communities with high rates of unemployment, as is the case with riverboat casinos in Indiana, there may be, in addition to the costs, social benefits to providing job training and jobs to the previously unemployed. Blaszczynski and Silove (1996) noted that criminal behaviors among adolescent gamblers may be more prevalent than among adult gamblers, in part because youths have few options for obtaining funds and greater susceptibility to social pressure among gambling peers. In the United Kingdom, Fisher (1991) reported that 46 percent of adolescents surveyed stole from their family, 12 percent stole from others, 31 percent sold their possessions, and 39 percent gambled with their school lunch or travel money. Two studies attempted to assess theft by problem gamblers, one in Wisconsin (Thompson et al., 1996a) and one in Illinois (Lesieur and Anderson, 1995; cited in Lesieur, 1998). These studies came to widely differing estimates of the magnitude of theft,
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--> probably because of methodological differences. In an Australian study (Blaszczynski and McConaghy, 1994a), most of the gamblers reported using their wages to finance gambling, supplemented by credit cards (38.7 percent), borrowing from friends and relatives (32.9 percent), and loans from banks and financial institutions (29.8 percent). This study did not provide a comparison, however, of differences between the financing of gambling and other household expenditures. In Canada, Ladouceur et al. (1994) found that, on average, the pathological gambler spent between $1,000 and $5,000 a month on gambling and used family savings (90 percent), borrowed money (83 percent), or both. Another cost to the pathological gambler is loss of employment. Roughly one-fourth to one-third of gamblers in treatment in Gamblers Anonymous report the loss of their jobs due to gambling (Ladouceur et al., 1994; Lesieur, 1998; Thompson et al., 1996b). One study estimated that more than 60 percent of those surveyed lost, on average, more than seven hours of work per month (Thompson et al., 1996b). In addition, the authors found that the average gambler costs employers more than $1,300 a month, and lost labor costs due to the unemployment totaled about $1,300 per gambler yearly. Bankruptcy presents yet another adverse consequence of excessive gambling. In one of the few studies to address bankruptcy, Ladouceur et al. (1994) found that 28 percent of the 60 pathological gamblers attending Gamblers Anonymous either reported that they had filed for bankruptcy or reported debts of $75,000 to $150,000. Published news accounts, bankruptcy court opinions, and bankruptcy attorneys serve as the primary reporters of the effects of gambling on bankruptcy. These accounts, however, are often region-specific, anecdotal, and poorly documented. In one such study (Ison, 1995a), the records examined suggested that 20 percent of all bankruptcies filed were gambling-related; of 105 gambling filers, the average gambler owed more than $40,000 in unsecured debt and possessed an average of eight credit cards with balances of $5,000 to $10,000 each; in total, the group owed about $1.1 million, exclusive of delinquent mortgages and car and income tax payments. Ison (1995b) reported that these gamblers cost one state (Minnesota) about $228 million annually.
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--> In summary, although the research in this area is sparse, it suggests that the magnitude and extent of personal consequences on the pathological gambler and his or her family may be severe. These destructive behaviors contribute to the concern about pathological gambling, and the need for more research to understand its social cost to individuals, families, and communities. Issues and Challenges in Benefit-Cost Analyses of Gambling3 A wide variety of economic techniques is available to assess the effects of new or expanded gambling activities. What seems to be a straightforward task of identifying benefits and costs associated with legalized gambling and with pathological and problem gambling is really more difficult than it first appears. Not surprisingly, most reported economic analysis in the literature is methodologically weak. In their most rudimentary form, such studies are little more than a crude accounting, bringing together readily available numbers from a variety of disparate sources. Among studies of the overall effects of gambling, such rough-and-ready analyses are common. In the area of gambling, pathological gambling, and problem gambling, systematic data are rarely to be found, despite considerable pressure for information. The consequence has been a plethora of studies with implicit but untested assumptions underlying the analysis that often are either unacknowledged by those performing the analysis, or likely to be misunderstood by those relying on the results. Not surprisingly, the findings of rudimentary economic impact analyses can be misused by those who are not aware of their limitations. When properly done, however, economic impact and benefit-cost analyses can be powerful policymaking tools. However, it requires an investment of time and money to operationalize, identify, measure, and analyze both benefits and costs. Many studies have identified the categories of benefits and costs associated with legalized gambling (e.g., Eadington, 1984; 3 The committee thanks Kurt Zorn for his written synthesis, analysis, and presentation of the literature in the remainder of this chapter.
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--> Chadbourne et al., 1997; Oddo, 1997). But most studies have focused on the benefits and costs to the community rather than those that accrue to individual gamblers and their families, or to other individual members or groups in the community. In fairness, this is probably attributable to the difficulty of measuring benefits and costs in complex areas like pathological and problem gambling. Analytic factors contributing to this difficulty are described below in general and later described in specific examples taken from the literature. Real Versus Transfer Effects One of the biggest stumbling blocks in economic impact analysis is determining which effects are real and which are merely transfers.4 What appears to be a cost may in fact be a transfer from one person or entity in society to another. For example, when a person borrows money to take a trip involving social or recreational gambling, the money borrowed is not a cost to society. Rather, the person is transferring consumption from the future, when the debt will be repaid, to the present, in much the same way as when he or she borrows money to purchase a new car. Thus, money is transferred from the future to the present through a lender, who is willing to forgo present consumption when the loan is made, in exchange for future consumption when the loan is repaid with interest. Conversely, there may be situations in which what appears to be a benefit is also a transfer. For example, the money spent by recreational gamblers at a casino is an indication of income generated in the community as a result of the casino. To the extent that the money comes from recreational gamblers who live in other communities, such money represents a real benefit to the casino and the community in which the gambling occurred. However, some of the money spent in the casino by local residents is not an economic benefit, but merely a transfer within the community. Had the casino not been in their community, some of the money 4 The category of transfer is often referred to as pecuniary in the economics literature.
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--> local residents spend on gambling would probably have been spent on other locally available entertainment or recreation (e.g., going to movies or buying new sporting goods equipment) instead. In addition, some of the money spent on gambling may be paid to suppliers, as well as gambling establishment owners or investors from outside the community, in which case the benefits ''leak" into other communities. Transfer effects are notoriously difficult to identify. McMillen (1991), for example, provides an excellent discussion of some of the challenges associated with the identification and valuation of benefits and costs associated with casino gambling in Australia. McMillen points out that economic impact studies often fail to explain the potential for one expenditure to displace another. Construction and gambling expenditures often are treated as net additions to the community, but this is too simplistic an approach. The real question is what else might have been done with the resources used to construct the casino. If, for example, the construction dollars would have been spent elsewhere in the community had the casino not been built, then the construction expenditure is merely a transfer and not an influx of new dollars into the community. McMillen further argues that the economic impact of a casino should be evaluated as one would evaluate a question of foreign trade. A casino may at first glance appear to benefit its community. But if it imports most of its supplies from outside the region and also sends its profits to owners outside the region, then there will be less benefit to the region than if suppliers and owners are local. McMillen (1991:88) also underscores the difficulty associated with identifying the direct costs and benefits of casinos. He contends that "the impact of the casinos on crime is impossible to disentangle from other factors which also may have affected changes in local criminal patterns (e.g., changing economic conditions, social attitudes, policing and judicial practices, unemployment, cut-backs in social services). The committee's review of gambling research found that these complex cause-and-effect relationships have not yet been sorted out adequately in the empirical literature.
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--> Direct and Indirect Effects A casino will have both direct and indirect effects on an area's income and jobs. The direct effect represents a net addition to the community's resources. The direct effect of a casino, for example, is the income and employment associated with providing goods and services to its patrons—the wages casino employees earn are direct effects of the casino. Indirect effects refer to the secondary effects that casinos have on the community. For example, visitors to the casino may purchase gasoline from a local gas station, causing the station to hire another attendant. Casino employees will spend their paychecks in the local community, causing more business and more employment for grocery stores, clothing stores, and so forth. Both these direct and indirect effects, or primary and secondary effects as they are sometimes called, are appropriate to consider as benefits. The most common approach to estimating indirect effects is by using an input-output model. These models are used to evaluate the economic development effects of many kinds of investments. By measuring the indirect ripple effect of a change in a regional economy, an input-output model recognizes that the outputs of one industry are often inputs to other industries, and that the wages that employees of one industry earn are spent on a variety of goods produced by other industries. Thus, changes in the activity of one industry, like a casino, affect both the casino's suppliers and its customers. Through this accounting-type framework, a change in the output, earnings, or employment level of an industry can be traced through the regional economy to determine its secondary effects. Input-output models are flexible enough to assess the effects of facility expansions, contractions, and closings (Richardson, 1972). An input-output model works through the development of multipliers, which are a convenient way of summarizing these ripple effects throughout the economy. An employment multiplier, for example, captures all of the direct effects of the addition of a job to a particular industry in the local economy. Perhaps the most widely used input-output model was developed by the U.S. Department of Commerce's Bureau of Economic Analysis (BEA). The BEA developed the Regional Input-Output Modeling System
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--> (RIMS) model in the mid-1970s. In the mid-1980s, a major enhancement of the model was completed and the new model was designated as RIMS II. The RIMS II model is periodically updated (U.S. Department of Commerce, 1992). The multipliers supplied to the model by the BEA are created from extensive data on national and regional economies. Multipliers can be developed for the entire country, an individual state, an individual county, or a region comprised of a group of counties. Input-output models have been used to evaluate the economic effects of new casino gambling facilities in a community and a state.5 Three potential problems are often encountered when using these models to analyze gambling. First, because the expansion of casino gambling is so recent, the RIMS II model does not have casino gambling multipliers to apply to regions in which gambling is being introduced. This forces researchers to use other multipliers as proxies for gambling. Second, input-output analysis is best suited for modest changes to a community's economic structure. When a casino is introduced into a small community, as has often been the case, it may bring major changes to the whole structure of economic activity in the community. When the change to a community's economic structure is significant, input-output models do not predict indirect effects well (Oster et al., 1997). Third, the model's estimate of indirect effects is based on the measurement of direct effects. If direct effects have not been measured properly, then those measurement errors will carry over to the estimate of indirect effects as well. Tangible and Intangible Effects Both the direct and the indirect effects mentioned above are tangible, because they result in measurably more jobs and additional income being generated in the local economy. As mentioned at the beginning of this chapter, intangible benefits and costs are identifiable effects that are difficult or impossible to measure or to quantify in dollar terms. Intangible benefits and costs 5 The Indiana Gaming Commission used input-output models to compare and evaluate the competing applications for riverboat gambling licenses.
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--> costs, the researchers note that many of the family-related effects identified do not lend themselves to quantification because it would involve a very subjective process. As a result, only two family and individual effects are given a dollar value: the costs of divorce proceedings and acute treatment costs.13 Total family and individual costs amounted to A$0.7 million, with A$300,000 coming from divorce proceedings and A$455,000 from acute treatment. Financial impacts on the family and the individual due to problem gambling are estimated by determining the dollar amount of business and personal bankruptcies, estimated at A$65,000. Finally, the researchers costed out the value of existing services that are provided for problem gamblers and their families, which are estimated at slightly less than A$2.3 million per year.14 The total cost associated with pathological and problem gambling was estimated at A$48.8 million per year, or A$9.70 per capita among the adult population in New South Wales. This estimate is compared with the A$2.9 billion in net benefit introduced by gambling in New South Wales. The methodology used by the researchers to reach this estimate of net positive effect involved the use of input-output multipliers, carefully adjusted for substitution of expenditures and leakage. It is noted that the costs amount to 1.6 percent of the estimated positive effects. However, the authors are quick to note that they use conservative costing assumptions and that a number of the effects identified are not assigned dollar values. The net economic benefit is therefore likely to be overstated. Wisconsin Study A second study that makes a significant contribution to the literature on the economic impacts of gambling is one that identi- 13 The acute treatment incidence was based on reported suicide attempts, taken from the clinical database. 14 The authors are quick to note that this estimate does not include any additional costs that may be incurred due to the need for additional services in the future.
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--> fies and quantifies the social costs of gambling in the state of Wisconsin (Thompson et al., 1996a). The authors point out that there is little objective information about the benefits and costs associated with gambling, much less the costs of pathological and problem gambling, but that many studies have offered opinions about the effects such gambling has on society. "However, for the most part, we have only seen attempts either to list all the cost factors without analysis, and without totaling up the effects, or we have seen concluding numbers without any indication of how the numbers were determined" (Thompson et al., 1996a:13). The approach taken by these researchers to arrive at estimates of the costs of pathological and problem gambling involved using a survey instrument to get information from serious problem gamblers in Wisconsin (Thompson et al., 1996a). They distributed questionnaires to members of Gamblers Anonymous chapters and received 98 completed surveys. The questionnaires provided the researchers with demographic data on the respondents, gambling histories, information about some of the games they played, volume of gambling activity and the source of funds, and the consequences of gambling. The authors used the information obtained from the survey to attempt to answer the following questions: (1) How much does one serious problem gambler cost society? (2) How much do the serious problem gamblers of Wisconsin cost Wisconsin society? (3) What are the societal costs of having casinos in Wisconsin? To answer these questions, they used information from their survey as well as information provided by earlier research on the costs of problem gambling. They chose to focus on employment costs, bad debts and civil court costs, thefts and criminal justice system costs, therapy costs, and welfare costs. They calculated the costs for all problem gamblers in the state and for a subset of problem gamblers who could be associated with the state's American Indian casinos. Employment costs included both the annual cost of working hours lost due to gambling plus the unemployment compensation attributable to gambling. It was estimated that the annual cost of lost working hours amounted to $1,330 per problem gambler for all problem gamblers in the state, and $1,390 per problem gambler for those who gambled at American Indian casinos. Annual unemployment compensation costs
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--> were calculated as $210 for all problem gamblers and $120 for the casino gamblers. Estimates of the loss in productivity due to gambling were based on how many hours of work the gambler lost due to unemployment. The researchers chose to use this measure rather than attempt to estimate the loss of productivity on the job, which they thought involved too much subjectivity. The estimates for annual loss in productivity amounted to $1,400 for all gamblers and $1,330 for casino gamblers. Adding these estimates together provides a total employment cost estimate of $2,940 for all gamblers and $2,840 for casino gamblers. Bad debts were calculated by focusing on the debt burden of the problem gamblers in the study who were involved in bankruptcy court proceedings. These individuals had an average debt of $8,910. It was assumed that society lost half of these debts, with an annualized value of $1,490 for all gamblers and $2,130 for casino gamblers. Thompson et al. (1996a) note that these are very conservative estimates because they looked only at those who declared bankruptcy and accounted for only half of their debt. In reality, it is likely that many problem gamblers will ultimately pay little of their debts. Annual criminal justice costs include a number of factors, including bankruptcy court costs, estimated at $330 for all gamblers and $510 for casino gamblers; the cost of civil cases, estimated at $510 for all gamblers and $530 for casino gamblers; the cost of criminal cases, estimated at $370 for all gamblers and $510 for casino gamblers; the cost of probation, estimated at $190 for all gamblers and $190 for casino gamblers; the cost of imprisonment, estimated at $1,160 for all gamblers and $760 for casino gamblers; and the cost of arrests, estimated at $50 for all gamblers and $40 for casino gamblers. Summing the estimates for these factors led to estimates of $2,610 for all gamblers and $2,550 for casino gamblers for annual total police and judicial costs. An additional criminal justice cost, the cost of thefts, was estimated at $1,730 for all gamblers and $1,670 for casino gamblers. These estimates were combined with the bad debt estimates to provide the estimates for the annual total bad debt and theft-related costs per gambler. Thompson et al. (1996a) estimated therapy costs as $360 for all gamblers and $440 for casino gamblers based on the assump-
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--> tion that half of the costs were individual and half would be borne by society. Estimates for additional costs due to gambling amounted to, for food stamps, $100 for all gamblers and $140 for casino gamblers and, for Aid for Families with Dependent Children, to $230 for all gamblers and $360 for casino gamblers. Total health and welfare-related costs therefore amounted to $700 for all gamblers and $920 for casino gamblers. Even this study, however, is not without serious flaws and often counts as benefits things that would properly have been considered transfers. Nevertheless, this study is an important improvement over many previous ones. The researchers compare their estimates of the annual total social costs for the state of Wisconsin due to problem gambling—$307 million for all gamblers including $138 million for casino gamblers to estimates of the net positive effects of gambling activities estimated in an earlier study (Thompson et al., 1995). That study determined that the state of Wisconsin experienced an annual economic gain of $326 million from gambling activities and related expenditures at or near the 17 casino sites. Combining the two estimates for the positive impact and the negative impact associated with casino gambling ($326 million and $138 million, respectively), social costs represent about 42 percent of the economic gain, and the net economic impact on the Wisconsin economy due to casinos is approximately $188 million. Thompson et al. argue that their estimates of the social costs of problem gambling are conservative but realistic, although others have suggested the estimates are too high (see Walker and Barnett, 1997). Thompson et al. point out that the calculations are based on information obtained from the survey of problem gamblers and other outside sources. In addition, they are careful to identify the assumptions and methodology used in the calculations, something most previous studies failed to do. The researchers underscore the intentional conservatism of their analysis (Thompson et al., 1996a:26): We wish the information we present to be useful for policy makers, so we have carefully avoided adding numbers into the formula where we felt that we could not reasonably make good assumptions and good estimates of the costs. Nonetheless, we suspect that the areas not considered do represent social costs, and these may be
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--> revealed in more refined studies in the future. Some areas where costs must exist, but were not considered, include the lower productivity on the job, family disorganization, and bad debts by those who do not declare bankruptcy. Thompson et al. (1996a) acknowledge the estimate of productivity loss used in the Chicago study by Politzer et al. (1981) but do not use it because they found it unreasonable. Because they did not have sufficient information themselves to make a reasonable estimate, they chose to not make one. Conclusions Despite the recent improvements made in the estimation of the benefits and costs of gambling, this area of inquiry is still in its infancy. A very few studies have recently made large strides over the contributions of earlier studies, which generally focused only on the positive economic benefits or provided descriptions of the cost factors associated with pathological and problem gambling, but did not attempt to estimate the costs of gambling, much less the costs of pathological and problem gambling. Still, benefit-cost analysis of pathological and problem gambling remains undeveloped. In most of the impact analyses of gambling and of pathological and problem gambling, the methods used are so inadequate as to invalidate the conclusions. Researchers in this area have struggled with the absence of systematic data that could inform their analysis and consequently have substituted assumptions for the missing data. The assumptions adopted for specific studies were rarely examined or tested to ensure they were appropriate for the specific research being conducted. There is always the risk that such assumptions and resulting estimates may reflect the bias of the analyst rather than the best-informed judgment. Critical estimates have been frequently taken from one study and haphazardly applied in different circumstances. Often, the costs and benefits were not properly identified so that things that should have been counted as costs or benefits were omitted and other things that should have been omitted were counted. Even when these limitations were recognized by the authors, they were rarely acknowledged.
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--> Clearly there continues to be a need for more objective and extensive analysis of the economic impact that gambling has on the economy. Although the methodology to estimate the net positive effects is fairly well developed, substantial work needs to be done on the cost side. It is especially important to focus on the effects that are associated with problem gambling. The task will not be easy and the effort will be costly and time-consuming. The Australian and Wisconsin research studies have set the stage for others by outlining the process that needs to be followed and by showing how such studies should proceed. These studies do have their limitations, however. For example, more attention could have been focused on ensuring that the costs being estimated are real costs and not just transfers. But they provide a framework so that others can replicate their findings and to advance knowledge about the costs of problem gambling. Other important issues remain unexplored. One issue is the question of how important the problem gambler is to the gambling industry's financial health. A casual look at the casino industry suggests that this is an industry with high fixed costs and very low marginal costs to serve an additional patron. If that is indeed the industry's cost structure, then very little additional revenue can result in substantial increases in profits. By the same token, a small decrease in revenue can result in a substantial decrease in profits. Thus, even if problem gambling proves not to be very prevalent in aggregate terms, it could still have a substantial influence on industry profits. Another unexplored issue is to what degree the findings on the economic impact of casino gambling apply to other forms of gambling. As this chapter indicates, most of the research deals with casinos. We know little about the economic impact of other forms of gambling. Finally, few of the studies on the economic impact of gambling to date have appeared in peer-reviewed publications. Most have appeared as reports, chapters in books, or proceedings at conferences, and those few that have been subject to peer review have, for the most part, been descriptive pieces. As this research evolves, it should be subjected to peer review to help ensure that it indeed is advancing the body of knowledge.
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--> References Aasved, M.J. 1995 Legalized gambling and its impacts in a central Minnesota vacation community: A case study. Journal of Gambling Studies 11(2):137-163. Aasved, M.J., and J.C. Laundergan 1993 Gambling and its impacts in a Northeastern Minnesota community: An exploratory study. Journal of Gambling Studies 9(4):301-319. Abbott, D.A., S.L. Cramer, and S.D. Sherrets 1995 Pathological gambling and the family: Practice implications. Families in Society 76(4):213-219. American Psychiatric Association 1994 DSM-IV: Diagnostic and Statistical Manual of Mental Disorders, 4th ed. Washington, DC: American Psychiatric Association. Anders, G.C. 1996 The Indian Gaming Regulatory Act and Native American development. International Policy Review 6(1):84-90. 1997 Estimating the Economic Impact of Indian Casino Gambling: A Case Study of the Fort McDowell Reservation. Reno: Institute for the Study of Gambling and Commercial Gaming, University of Nevada. Bergh, C., and E. Kuhlhorn 1994 Social, psychological and physical consequences of pathological gambling in Sweden. Journal of Gambling Studies 10(3):275-285. Bland, R.C., S.C. Newman, H. Orn, and G. Stebelsky 1993 Epidemiology of pathological gambling in Edmonton. Canadian Journal of Psychology 38:108-112. Blaszczysnki, A.P., and N. McConaghy 1994a Antisocial personality disorder and pathological gambling. Journal of Gambling Studies 10(2):129-145. 1994b Criminal offenses in Gamblers Anonymous and hospital treated pathological gamblers. Journal of Gambling Studies 10(2):99-127. Blaszczynski, A.P., and D. Silove 1996 Pathological gambling: Forensic issues. Australian and New Zealand Journal of Psychiatry 30(3):358-369. Boreham, P., M. Dickerson, and B. Harley 1996 What are the social costs of gambling? The case of the Queensland machine gaming industry. Australian Journal of Social Issues 31(4):425-442. Chadbourne, C., P. Walker, and M. Wolfe 1997 Gambling, Economic Development, and Historic Preservation. Chicago: American Planning Association. Cornell, S., J. Kalt, M. Krepps, and J. Taylor 1998 American Indian Gambling Policy and Its Socioeconomic Effects: A Report to the National Gambling Impact Study Commission. Cambridge, MA: The Economics Resource Group, Inc.
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--> Cozzetto, D.A. 1995 The economic and social implications of Indian gambling: The case of Minnesota. American Indian Culture and Research Journal 19(1):119-131. Custer, R.L., and L.F. Custer 1978 Characteristics of the Recovering Compulsive Gambler: A Survey of 150 Members of Gamblers Anonymous. Paper presented at the Fourth Annual Conference on Gambling, Reno, NV, December. Custer, R.L., and H. Milt 1985 When Luck Runs Out. New York: Facts on File Publications. Dickerson, M., C. Allcock, A. Blaszczynski, B. Nicholls, J. Williams, and R. Maddern 1995 An Examination of the Socioeconomic Effects of Gambling on Individuals, Families, and the Community Including Research into the Costs of Problem Gambling to New South Wales. Sydney: Australian Institute for Gambling Research. Eadington, W.R. 1984 The casino gaming industry: A study of political economy. Annals of the American Academy of Political and Social Science 474:23-35. Fahrenkopf, F.J., Jr. 1995 Testimony. Hearing on the Gambling Impact Study Commission, Committee on Governmental Affairs, U.S. Senate, November 2. Washington, DC: U.S. Government Printing Office. Federal Reserve Bank of Boston 1995 Casino Development: How Would Casinos Affect New England's Economy? Proceedings of a Symposium Sponsored by the Federal Bank of Boston, June 1. Filby, M.P., and L. Harvey 1988 Recreational betting: Everyday activity and strategies. Leisure Studies 7(2)(May):159-172. Fisher, S. 1991 Governmental response to juvenile fruit machine gambling in the U.K.: Where do we go from here? Journal of Gambling Studies 7(3):217-247. Florida Office of Planning and Budgeting 1994 The Anticipated Impact of Casino Gambling in Florida. Florida Bureau of Economic Analysis, Department of Commerce. Tallahassee, FL: The Executive Office of the Governor. Frank, M.L., D. Lester, and A. Wexler 1991 Suicidal behavior among members of Gamblers Anonymous. Journal of Gambling Studies 7:249-254. Goodman, R. 1994 Legalized Gambling as a Strategy for Economic Development. Northampton, MA: United States Gambling Study. Gramlich, E.M. 1990 The fundamental principle of benefit-cost analysis. Chapter 3. In A Guide to Benefit-Cost Analysis, Second Edition. Englewood Cliffs, NJ: Prentice Hall, Inc.
OCR for page 189
--> Grinols, E.L. 1995 Incentives explain gambling's growth. Forum for Applied Research and Public Policy 11(Summer):119-124. Grinols, E. L., and J.D. Omorov 1995 Development or dreamfield illusions: Assessing casino gambling's costs and benefits. Pp. 384-405 in Hearing on the Gambling Impact Study Commission, Committee on Governmental Affairs, U.S. Senate, November 2. Washington, DC: U.S. Government Printing Office. Hewings, G.J.D., and M. Madden, eds. 1995 Social and Demographic Accounting. New York: Cambridge University Press. Hewings, G.J.D., G.R. Schindler, D. Anderson, and Y. Okuyama 1998 The Impact of Riverboat Casino Gambling on the Illinois Economy 1995. Report prepared for the Illinois Gaming Board. Champaign: University of Illinois. Illinois Gaming Board 1996 The Economic and Fiscal Impacts of Riverboat Casino Gambling in Illinois. Phase One: Direct Impact Data, 1991-1995, J.T. Johnson, M.A. Belletire, and D.S. O'Brien, authors. Springfield: Illinois Gaming Board. Ison, C. 1995a Dead broke. Star Tribune, December 5, 1995. News section. 1995b Dead broke. Star Tribune, December 3, 1995. News section. Jacobs, D.F., A.R. Marston, R.D. Singer, K. Widaman, et al. 1989 Children of problem gamblers. Special Issue: Gambling and the Family. Journal of Gambling Behavior 5(4)(Winter):261-268. Ladouceur, R., J.M. Boisvert, M. Pepin, M. Loranger, and C. Sylvain 1994 Social costs of pathological gambling. Journal of Gambling Studies 10:399-409. Lesieur, H.R. 1987 Gambling, pathological gambling and crime. In The Handbook of Pathological Gambling, Thomas Galski, ed. Springfield, IL: Charles C. Thomas. 1989 Experience of employee assistance programs with pathological gamblers. Journal of Drug Issues 19(4):425-436. 1992 Compulsive gambling. Society 29(4):43-50. 1998 Costs and treatment of pathological gambling. Annals of the American Academy 556:153-171. Lesieur, H.R., and C. Anderson 1995 Results of a Survey of Gamblers Anonymous Members in Illinois. Illinois Council on Problem and Compulsive Gambling. Lesieur, H.R., and S.B. Blume 1991 Evaluation of patients treated for pathological gambling in a combined alcohol, substance abuse, and pathological gambling treatment unit using the Addiction Severity Index. British Journal of Addiction 86:1017-1028.
OCR for page 190
--> Lesieur, H.R., and R. Klein 1985 Prisoners, gambling and crime. Paper presented at the Annual Meeting of the Academy of Criminal Justice Sciences, Las Vegas, NV, April 2. Institute for Problem Gambling, Middletown, CT. Lesieur, H.R., and J. Rothschild 1989 Children of Gamblers Anonymous members. Journal of Gambling Behavior 5:269-281. Livingston, J. 1974 Compulsive Gamblers: Observations on Action and Abstinence. New York: Harper Torchbooks. Lorenz, V.C., R.M. Politzer, and R.A. Yaffee 1990 Final Report of the Maryland Task Force on Gambling Addiction. Lorenz, V.C., and D.E. Shuttlesworth 1983 The impact of pathological gambling on the spouse of the gambler. Journal of Community Psychology 11:67-76. Lorenz, V.C., and R.A. Yaffee 1986 Pathological gambling: Psychosomatic, emotional and marital difficulties as reported by the gambler. Journal of Gambling Behavior 2(1):40-49. 1988 Pathological gambling: Psychosomatic, emotional, and marital difficulties as reported by the spouse . Journal of Gambling Behavior 4:13-26. Madden, M.K. 1991 Economic and Fiscal Impacts Associated with the First Year of Gaming: Deadwood, South Dakota. Pierre: South Dakota Commission on Gaming. McCormick, R.A., A.M. Russo, L.F. Ramirez, and J.I. Taber 1984 Affective disorders among pathological gamblers seeking treatment. American Journal of Psychiatry 141:215-218. McMillen, J. 1991 The impact of casinos in Australian cities. Pp. 87-102 in Gambling and Public Policy: International Perspectives, William R. Eadington and Judy A. Cornelius, eds. Reno: Institute for the Study of Gambling and Commercial Gaming, University of Nevada. Meyer, G., and T. Fabian 1992 Delinquency among pathological gamblers: A causal approach. Journal of Gambling Studies 8(1):61-77. Meyer-Arendt, K.J. 1995 Casino gaming in Mississippi: Location, location, location. Economic Development Review 13(4):27-33. Moran, E. 1969 Taking the final risk. Mental Health 3(Winter):21-22 (London). Oddo, A.R. 1997 The economics and ethics of casino gambling. Review of Business 18(3):4-8.
OCR for page 191
--> Oster, C.V., B.M. Rubin, and J.S. Strong 1997 Economic impacts of transportation investments: The case of Federal Express. Transportation Journal 37(2):34-44. Politzer, R.M., J.S. Morrow, and S. Leavy 1981 Report on the societal cost of pathological gambling and the cost benefit/effectiveness of treatment. Proceedings of the 1981 Conference on Gambling. Reno: University of Nevada. Ricardo, G. 1998 The economic impacts of casino gambling at the state and local levels. Annals of the American Academy of Political and Social Science 556(March):66-84. Richardson, H.W. 1972 Input-Output and Regional Economics. New York: John Wiley, Schwarz, J., and A. Lindner 1992 Inpatient treatment of male pathological gamblers in Germany. Journal of Gambling Studies 8:93-109. Stokowski, P.A. 1996 Riches and Regrets: Betting on Gambling in Two Colorado Mountain Towns. Niwot: University Press of Colorado. Thompson, W.N., R. Gazel, and D. Rickman 1995 The Economic Impact of Native American Gaming in Wisconsin. Milwaukee: Wisconsin Policy Research Institute. 1996a Casinos and Crime in Wisconsin: What's the Connection? Thiensville: Wisconsin Policy Research Institute Inc. 1996b The social costs of gambling in Wisconsin. Wisconsin Policy Research Institute Report 9(6):1-44. U.S. Department of Commerce 1992 Regional Multipliers: A User Handbook for the Regional Input-Output Modeling System (RIMS II). Washington, DC: U.S. Department of Commerce. Volberg, R.A. 1994 The prevalence and demographics of pathological gamblers: Implications for public health. American Journal of Public Health 84:237-241. Walker, Douglas M., and A.H. Barnett 1997 The Social Costs of Legalized Gambling Reconsidered. Unpublished manuscript, Department of Economics, Auburn University, May.
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