Australia's Gambling Industries - Productivity Commission

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Contents of Volume 3 Appendices A B C D E F G H I J K L M N O P Q R S T U V Participation and public consultation Participation in gambling: data tables Estimating consumer surplus The sensitivity of the demand for gambling to price changes Gambling in indigenous communities National Gambling Survey Survey of Clients of Counselling Agencies Problem gambling and crime Regional data analysis Measuring costs Recent US estimates of the costs of problem gambling Survey of Counselling Services Gambling taxes Gaming machines: some international comparisons Displacement of illegal gambling? Spending by problem gamblers Who are the problem gamblers? Bankruptcy and gambling State and territory gambling data Divorce and separations How gaming machines work Use of the SOGS in Australian gambling surveys References III
Contents of other volumes Volume 1 Terms of reference Key findings Summary of the report Part A Introduction 1 The inquiry Part B The gambling industries 2 An overview of Australia’s gambling industries 3 Consumption of gambling Part C Impacts 4 Impacts of gambling: a framework for assessment 5 Assessing the benefits 6 What is problem gambling? 7 The impacts of problem gambling 8 The link between accessibility and problems 9 Quantifying the costs of problem gambling 10 Broader community impacts 11 Gauging the net impacts Volume 2 Part D The policy environment 12 Gambling policy: overview and assessment framework 13 Regulatory arrangements for major forms of gambling 14 Are constraints on competition justified? 15 Regulating access 16 Consumer protection 17 Help for people affected by problem gambling 18 Policy for new technologies 19 The taxation of gambling 20 Earmarking 21 Mutuality 22 Regulatory processes and institutions 23 Information issues IV
Page 1: Australia’s Gambling Industries I
Page 6 and 7: Australian Capital Territory Federa
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
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The Commission’s treatment falls
Page 54 and 55:
Box C.4 Explaining the lack of vari
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demand may become elastic, as peopl
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There are a number possible explana
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• Firstly, there has been extraor
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E Gambling in indigenous communitie
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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
Page 96 and 97:
Being aware of the need to minimise
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NATIONAL GAMBLING SURVEY F.31
Page 100 and 101:
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
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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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Page 267 and 268:
Page 269 and 270:
Page 271 and 272:
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
Page 331 and 332:
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 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
Page 403 and 404:
—— 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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Australia's Gambling Industries - Productivity Commission

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