Australia's Gambling Industries - Productivity Commission

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Australian Capital Territory Federation of Ethnic Communities’ Councils of Australia Norfolk Island Gaming Authority New South Wales Access Systems Dr Clive Allcock, University of Sydney & Cumberland Hospital Aristocrat Leisure Industries Australian Hotels Association (NSW) Australian Retailers Association Betsafe group of clubs Assoc Prof Alex Blaszczynski The Cabinet Office Casino Community Benefit Fund Casino Community Development Fund Department of Gaming and Racing EMIGRE Gamblers Help Line Gambling Research Unit, University of Sydney Rev Harry Herbert, Uniting Church in Australia Prof Jan McMillen, Australian Institute for Gambling Research Nepean Rowing Club NSW Lotteries Online Gambling Association of Australia Penrith Panthers Club Registered Clubs Association of NSW Society of Vincent de Paul, GAME program Star City Paul Symond, St Edmunds Private Hospital TAB Ltd Wesley Gambling Counselling Services Victoria Australian Hotels Association (Vic) Break Even counsellors Crown Casino Department of Premier and Cabinet Interchurch Gambling Task Force Assoc Prof Alun Jackson Licensed Clubs Association of Victoria Office of Racing Tabcorp Holdings Ltd Tattersall’s Victorian Casino and Gaming Authority A.2 GAMBLING
South Australia Adelaide Central Mission Department of Premier and Cabinet Liquor and Gaming Commissioner Treasury The Hon Nick Xenophon MLC Queensland BreakEven Department of Families, Youth and Community Care Department of Premier and Cabinet Jupiters Casino Queensland Council of Social Services Queensland Office of Gaming Regulation Racing Industry Taskforce Relationships Australia, Queensland Treasury Rev John Tully Western Australia BreakEven Burswood International Resort Casino Department of Treasury Lotteries Commission of WA Ministry of Premier and Cabinet Office of Racing, Gaming and Liquor TAB Tourism Commission Northern Territory Amity Community Service & Anglicare Centrebet Chief Minister’s Office Ethnic Communities Council Department of Health Lasseters Hotel Casino Menzies School of Health Research MGM Grand Darwin Hotel/Casino Racing and Gaming Commission Treasury PUBLIC CONSULTATION A.3
Page 1 and 2: Australia’s Gambling Industries I
Page 3: Contents of other volumes Volume 1
Page 8 and 9: 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
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• Firstly, there has been extraor
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E Gambling in indigenous communitie
Page 64 and 65:
The pattern of institutionally-base
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chase the “miracles” offered by
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F National Gambling Survey F.1 Intr
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F.2 The questionnaire Development o
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The use of this sampling approach m
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Box F.1 List of gambling activities
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• Big spending regular or less fr
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Questions asked of all respondents
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Comparisons of aggregate expenditur
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elated to their gambling — all
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Interview duration As with any ques
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ecause of non-payment), while there
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• post-weighting the sample data
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particular area/age/gender cell fro
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esult in turn reflects the survey p
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F.11 Contact and participation rate
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Being aware of the need to minimise
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NATIONAL GAMBLING SURVEY F.31
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Page 102 and 103:
Page 104 and 105:
Page 106 and 107:
Page 108 and 109:
Page 110 and 111:
Page 112 and 113:
Page 114 and 115:
Page 116 and 117:
Page 119 and 120:
F.52 GAMBLING
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F.54 GAMBLING
Page 123 and 124:
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
Page 175 and 176:
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
Page 183 and 184:
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
Page 239 and 240:
Table K.2 Summary of cost estimates
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L Survey of Counselling Services Th
Page 243 and 244:
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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Page 269 and 270:
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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
Page 303 and 304:
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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Page 365 and 366:
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Page 369 and 370:
Page 371 and 372:
Page 373 and 374:
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
Page 405 and 406:
Bickerdyke, I. and Lattimore, R. 19
Page 407 and 408:
——, Dickerson, M. and Harley, B
Page 409 and 410:
Campbell, C. and Smith G. 1998, Can
Page 411 and 412:
—— and Winefield, A.H. 1996, Co
Page 413 and 414:
——, Baxter, P., Boreham, P., Ha
Page 415 and 416:
Ferguson, B. 1996, A Note on the In
Page 417 and 418:
—— 1997, Legalised Gambling as
Page 419 and 420:
Horner, T. and Bradfield, G. 1998,
Page 421 and 422:
——, Marston, A., Singer, R., Wi
Page 423 and 424:
Gambling Studies, ‘Towards 2000:
Page 425 and 426:
—— 1995b, Social impacts of urb
Page 427 and 428:
—— and Ohtsuka, K. 1999, ‘The
Page 429 and 430:
NT Select Committee (Select Committ
Page 431 and 432:
Prosser, G., Breen, H., Weeks, P. a
Page 433 and 434:
Single, E., Collins, D., Easton, B.
Page 435 and 436:
Thomas, S., Jackson, A., Thomason,
Page 437 and 438:
—— 1997, Gambling and Problem G
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