- Page 1 and 2: Australia’s Gambling Industries I
- Page 3: Contents of other volumes Volume 1
- 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 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 60 and 61: • 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
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Being aware of the need to minimise
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NATIONAL GAMBLING SURVEY F.31
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NATIONAL GAMBLING SURVEY F.33
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NATIONAL GAMBLING SURVEY F.35
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NATIONAL GAMBLING SURVEY F.37
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NATIONAL GAMBLING SURVEY F.39
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NATIONAL GAMBLING SURVEY F.41
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NATIONAL GAMBLING SURVEY F.43
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NATIONAL GAMBLING SURVEY F.45
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NATIONAL GAMBLING SURVEY F.47
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NATIONAL GAMBLING SURVEY F.49
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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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SURVEY OF COUNSELLING SERVICES L.25
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SURVEY OF COUNSELLING SERVICES L.27
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SURVEY OF COUNSELLING SERVICES L.29
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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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Table S.16 Real government revenue
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Table S.20 Real government revenue
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Table S.24 Real government revenue
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Table S.28 Real government revenue
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Table S.32 Real government revenue
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Table S.36 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
- 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