Australia's Gambling Industries - Productivity Commission

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• Firstly, there has been extraordinary growth in revenue from gaming machine since they were legalised in a number of states in the 1990s. While this growth is driven by the greater accessibility of gaming machines, it also provides no support for the view that high tax rates are significantly reducing the level of gaming machine play. Demand also appears to have grown strongly in New South Wales in recent years where they have been legal for many years; • Secondly, people on low incomes tend to gamble a greater proportion of their income on gaming machines than people on high incomes. The sacrifices, in terms of other goods forgone, that low income earners are willing to make to gamble on gaming machines shows they place a high value on being able to gamble in this way. In turn, this may indicate that their demand is relatively unresponsive to price. • Finally, payout ratios on gaming machines often vary between clubs and hotels. For instance in New South Wales, clubs retained 9.4 per cent of turnover, whereas hotels retained 10.5 per cent of turnover. Thus, the payouts from hotels were about 10 per cent less than for clubs. Lower payouts by hotels appear to be sustainable behaviour, which — allowing for differences in the venues and their clienteles — could also indicate that gamblers are insensitive to relatively small changes in payout rates. 3 (c) Casinos There are no studies solely on the sensitivity of the demand for casino gaming. It is likely, however, that some types of gamblers in casinos are more sensitive to prices than others. ‘High rollers’, who are able to gamble anywhere in the world, are acknowledged to be highly responsive to price, and for this reason are offered commissions to gamble at particular casinos. Since prices are more easily observable for some table games than other gambling forms, the sensitivity of demand for casino gaming is likely to be significantly greater than for lotteries. In practical terms, it may not be possible to tax casinos at the same rate as lotteries (and possibly gaming machines), without changing the rules of table games (such as roulette and blackjack) which have significantly higher payout ratios than gaming machines or lotteries. 3 Within the one location there is contradictory evidence about the sensitivity of demand to price. Many people play 2 cent machines at a high level of intensity, betting up to $1.00 at a time. Yet the payouts on these machines are less than payouts on the $1.00 machines which may indicate players are insensitive to price. On the other hand gaming machine operators have told the inquiry that gamblers tend to gravitate to machines that they perceive offer the largest payouts. D.6 GAMBLING
(d) Racing Like casinos, racing attracts different types of gamblers who could also be expected to display different levels of sensitivity of demand to price. Traditional racing punters, who follow ‘form’, are not likely to substitute racing for other forms of gambling. However, there is also a category of ‘recreational’ gambler who treats racing in much the same way as gaming — particularly since racing and gaming opportunities are increasingly located in the same venue. This group may substitute one form for another depending on price changes. If any form of gambling has suffered from the introduction of gaming machines and casinos, it is most likely to be racing, although other factors may be behind the slight decline in racing expenditures. BERL (1997) estimated the elasticity of demand for race betting at -0.7 in New Zealand — somewhat unresponsive to price. PRICE SENSITIVITY D.7
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Australia’s Gambling Industries I
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Contents of other volumes Volume 1
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Australian Capital Territory Federa
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Tasmania Wrest Point Casino New Zea
Page 10 and 11: Marianne James Prof Jan McMillen Pe
Page 12 and 13: Canberra, 30 November 1998 Senator
Page 14 and 15: Sydney, 16-17 September 1999 Rev Fr
Page 16 and 17: N Ward 28 Evelyn Jago 29 Territory
Page 18 and 19: Australian Hotels Association (SA)
Page 20 and 21: Women’s Health West 176 Norfolk I
Page 22 and 23: BetSafe Group - Paul Symond Consult
Page 24 and 25: B Participation in gambling: data t
Page 26 and 27: Table B.2 Participation in gambling
Page 28 and 29: Table B.4 Participation in gambling
Page 30 and 31: product in excess of the price paid
Page 32 and 33: C.2 Consumer surplus in the gamblin
Page 34 and 35: from increased consumption resultin
Page 36 and 37: Figure C.2 Tax and consumer surplus
Page 38 and 39: Table C.3 Price elasticities of dem
Page 40 and 41: Figure C.3 Consumer surplus for pro
Page 42 and 43: Box C.1 continued (e) That part of
Page 44 and 45: Table C.4 continued Wagering Lotter
Page 46 and 47: s n = share of gambling expenditure
Page 48 and 49: Figure C.6 Demand for gambling by p
Page 50 and 51: • the triangular area ’g’ whi
Page 52 and 53: The Commission’s treatment falls
Page 54 and 55: Box C.4 Explaining the lack of vari
Page 56 and 57: demand may become elastic, as peopl
Page 58 and 59: There are a number possible explana
Page 62 and 63: E Gambling in indigenous communitie
Page 64 and 65: The pattern of institutionally-base
Page 66 and 67: chase the “miracles” offered by
Page 68 and 69: F National Gambling Survey F.1 Intr
Page 70 and 71: F.2 The questionnaire Development o
Page 72 and 73: The use of this sampling approach m
Page 74 and 75: Box F.1 List of gambling activities
Page 76 and 77: • Big spending regular or less fr
Page 78 and 79: Questions asked of all respondents
Page 80 and 81: Comparisons of aggregate expenditur
Page 82 and 83: elated to their gambling — all
Page 84 and 85: Interview duration As with any ques
Page 86 and 87: ecause of non-payment), while there
Page 88 and 89: • post-weighting the sample data
Page 90 and 91: particular area/age/gender cell fro
Page 92 and 93: esult in turn reflects the survey p
Page 94 and 95: F.11 Contact and participation rate
Page 96 and 97: Being aware of the need to minimise
Page 98 and 99: NATIONAL GAMBLING SURVEY F.31
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NATIONAL GAMBLING SURVEY F.43
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F.52 GAMBLING
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F.54 GAMBLING
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F.56 GAMBLING
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F.58 GAMBLING
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F.60 GAMBLING
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F.62 GAMBLING
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F.64 GAMBLING
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F.66 GAMBLING
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G Survey of Clients of Counselling
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G.3 Question by question A1 to A3
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D23 — is concerned with the mecha
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of problem gambling (eg how many ch
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CLIENT SURVEY G.9
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CLIENT SURVEY G.11
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CLIENT SURVEY G.13
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CLIENT SURVEY G.15
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CLIENT SURVEY G.17
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CLIENT SURVEY G.19
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CLIENT SURVEY G.21
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CLIENT SURVEY G.23
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CLIENT SURVEY G.25
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Problem gamblers may subsequently b
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For a subset of 856 clients in 1996
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Table H.3 Variable Logistic estimat
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Prison, South Australia’s main re
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• “Has your gambling ever led y
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elicit information on vocational, f
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This finding is consistent with the
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H.5 What crimes do problem gamblers
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Other more violent crimes such as b
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But as noted above, police statisti
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H.8 Problem gambling and loan shark
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epayments were required — but mos
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State Gaming Authorities data The s
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Table I.2 Unweighted estimation Med
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machines. There is no statistically
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Figure I.2 Expenditure on gaming ma
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Weighted results The Commission’s
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Table I.7 Summary of Victorian metr
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Table I.9 Summary of Queensland reg
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it is likely to represent the more
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Table J.1 presents the information
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suffer from some of the adverse con
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• costs of gambling counselling s
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To the extent that borrowed money i
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This fee is only taken in estates w
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• for a higher estimate, the numb
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The Commission has assumed that the
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• to estimate the income lost ove
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the Commission has used this estima
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• 336 people receiving a jail sen
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states offer up to $50 000 each for
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As indicated in table J.6, where pr
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seen as part of the informal contra
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Almost all divorce cases are uncont
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of their gambling during the period
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Suicide ideation The Commission’s
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Table J.10 continued People a Per p
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Table J.12 Value of annual transfer
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pathological and problem gamblers a
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Table K.2 Summary of cost estimates
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L Survey of Counselling Services Th
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Several academics working in the ar
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L.4 Survey results Nature of agenci
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Number of clients The survey includ
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Characteristics of gambling clients
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counselling because of someone else
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Table L.17 Full time equivalent pai
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Table L.20 Approaches used to help
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Table L.24 Gambling clients ending
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More specifically, agencies said fu
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Centacare (Whyalla) Centre for Anxi
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SURVEY OF COUNSELLING SERVICES L.23
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Table M.1 Major forms of gambling t
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and sport development fund. In some
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Tax on keno In New South Wales, the
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Poker machines In most states, lice
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Table M3: Gaming machine taxation b
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Table M3: (continued) Hotels: Levie
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Table M4: (continued) NSW VIC QLD W
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Table M5: (continued) OTHER GAMBLIN
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N.1 Characteristics of machines of
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Table N.1 Australia, Japan, United
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Table N.2 Australia, Indiana, Conne
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The following discussion of gaming
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Canada Broadly speaking, Canada has
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Figure N.4 Japanese pachislo machin
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Winnings Progressive jackpots are p
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Bets and losses Bets and losses on
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In Japan, the minimum amount requir
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N.2 Market segments As with many ot
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Box N.4 Comments on market segments
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O Displacement of illegal gambling?
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survive together because they cater
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P Spending by problem gamblers The
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Table P.1 Outlays, player losses an
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Table P.3 Concentration of outlays
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Figure P.2 Distribution of outlay b
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Table P.4 Expenditure shares of pro
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is adjusted for biases in its estim
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ACIL (sub. D233. p. 48) claimed tha
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P.5 Estimating the expenditure shar
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expenditures shares are shown in ta
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of counselling agencies is necessar
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Table Q.2 Employment status of prob
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Table Q.3 continued Study Average a
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Relationship status The greater inv
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Table Q.6 Gender of problem gambler
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The pattern of an increased feminis
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R Bankruptcy and gambling This appe
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Table R.2 Age profile of bankrupts,
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Table R.5 New bankruptcies per mill
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Figure R.2 continued Western Austra
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• The penalty has become less sev
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S State and territory gambling data
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Table S.4 Real government revenue f
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Table S.8 Real government revenue,
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Table S.12 Real government revenue
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Dickerson et al (1998, p. 79) for e
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However, the survey used a set of p
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T.3 The logistic approach The NORC
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Table T.3 Method Various estimates
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such as France and the US (Casino I
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Table U.2 An example of an outcome
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intensity on the 85.15 per cent Cas
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considers that the machine price
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egular playing (30 years) the proba
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for an amount of time that is less
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U.6 The gambler’s fallacy Gambler
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This does not mean that a person ca
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V Use of the SOGS in Australian gam
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Differences in question wording and
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References AADAC (Alberta Alcohol a
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—— 1998, Efficient Tobacco Taxa
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Bickerdyke, I. and Lattimore, R. 19
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——, Dickerson, M. and Harley, B
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Campbell, C. and Smith G. 1998, Can
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—— and Winefield, A.H. 1996, Co
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——, Baxter, P., Boreham, P., Ha
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Ferguson, B. 1996, A Note on the In
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—— 1997, Legalised Gambling as
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Horner, T. and Bradfield, G. 1998,
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——, Marston, A., Singer, R., Wi
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Gambling Studies, ‘Towards 2000:
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—— 1995b, Social impacts of urb
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—— and Ohtsuka, K. 1999, ‘The
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NT Select Committee (Select Committ
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Prosser, G., Breen, H., Weeks, P. a
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Single, E., Collins, D., Easton, B.
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Thomas, S., Jackson, A., Thomason,
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—— 1997, Gambling and Problem G
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Australia's Gambling Industries - Productivity Commission

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