Australia's Gambling Industries - Productivity Commission

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Box F.1 List of gambling activities • Played poker machines or gaming machines • Bet on horse or greyhound races (excluding sweeps) • Bought instant scratch tickets (eg. Instant Scratchies, Scratch’n’win) • Played Lotto or any other lottery game (eg. Tattslotto, Ozlotto, Powerball, the Pools, $2 Jackpot lottery, Tatts 2, Tatts Keno) • Played table games at a casino (eg. roulette, blackjack) • Played Keno at a club, hotel, casino or any other place • Played bingo at a club or hall • Bet on a sporting event (eg. football, cricket, tennis) • Played casino games on the internet • Played games privately for money (eg. cards, mahjong) at home or any other place • Bought raffle tickets • Played any other gambling activity Regular gamblers Regular gamblers were defined as respondents who either: • participated in any single gambling activity (apart from lottery games or instant scratch tickets) at least once per week; or • whose overall participation in gambling activities (apart from lottery games or instant scratch tickets) was the equivalent of weekly (that is, at least 52 times per year). While it was decided that mainly regular gamblers would be asked the questions for the problem gambling screen in the main interview, weekly lottery (and instant scratch ticket) players were excluded from the definition of regular gamblers because: • previous Australian surveys have found that playing lottery games only rarely contributes to problem gambling (though it was decided to include big spending ‘lottery only’ players via filter 3 described below); and • the number of regular ‘lottery only’ players is relatively large and to have administered the SOGS to all of this group would have imposed a significant burden on these respondents and increased the overall cost of the survey appreciably but with little offsetting benefit in terms of obtaining significantly greater precision in the problem gambling prevalence estimates. NATIONAL GAMBLING SURVEY F.7
The second aspect of filter 2 captures those gamblers who gamble less frequently than weekly on individual activities, but often enough across several forms to be gambling the equivalent of weekly. For example, suppose a respondent played poker machines three times a month, bet on horse races twice a month and played table games at a casino once a month. The annual rate of play is therefore (3*12) + (2*12) + (1*12) = 72 times per year. Hence, because this overall rate of play is more frequent than once per week, the respondent is classified as regular even though no single gambling activity is played weekly. Even though lottery games are excluded from this filter, the regular group will still contain gamblers who play lottery games weekly because it includes: • those who participated in individual ‘other’ gambling activities weekly (and who may or may not have played lottery games weekly); and • those who participated in ‘other’ gambling activities the equivalent of weekly (and who may or may not have played lottery games weekly). Non-regular gamblers Those gamblers not classified as regular are, of course, non-regular and comprise in the main: • those who participated in any single gambling activity less often than weekly, or gambling activities overall less often than the equivalent of weekly. But because the filter for classifying gamblers as regular excludes all lottery games, among the non-regular group will also be: • those who only played lottery games weekly; and • those who participated in ‘other’ gambling activities less often than the equivalent of weekly (and who may or may not have also played lottery games weekly). Filter 3 — to re-classify some non-regular gamblers as ‘regular’ While Australian gambling surveys have found that ‘lottery only’ players rarely experience problems related to their gambling, a third filter was included in the main questionnaire to re-classify some gamblers from the non-regular group to the regular group, based on their annual gambling expenditure, in order for them to be administered the SOGS. Such a filter sought to capture the following two groups of respondents: F.8 GAMBLING
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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
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Marianne James Prof Jan McMillen Pe
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Canberra, 30 November 1998 Senator
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Sydney, 16-17 September 1999 Rev Fr
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N Ward 28 Evelyn Jago 29 Territory
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Australian Hotels Association (SA)
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Women’s Health West 176 Norfolk I
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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 60 and 61: • Firstly, there has been extraor
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 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
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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
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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
Page 119 and 120: F.52 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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