Australia's Gambling Industries - Productivity Commission

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Figure I.1 Income and the number of gaming machines for selected states Vertical axis – number of gaming machines per 10 000 adults in each region Horizontal axis – median weekly income per person in each region New South Wales Victoria a 400 400 350 350 300 300 250 250 200 200 150 150 100 100 50 50 0 200 250 300 350 400 450 500 0 200 250 300 350 400 450 500 Victoria – Metropolitan areas a Victoria – Non-metropolitan areas 400 400 350 350 300 300 250 250 200 200 150 150 100 100 50 50 0 200 250 300 350 400 450 500 0 200 250 300 350 400 450 500 Queensland South Australia b 400 400 350 350 300 300 250 250 200 200 150 150 100 100 50 50 0 200 250 300 350 400 450 500 0 200 250 300 350 400 450 500 a Data for the City of Melbourne produces an outlier that has been removed from the analysis. b Data for the City of Adelaide and Roxby Downs produce two outliers that have been removed from the analysis Data source: ABS (1996a), DGR(1996b), QOGR (1998b) and VCGA (1998). REGIONAL DATA ANALYSIS I.7
Figure I.2 Expenditure on gaming machines and the number of gaming machines for selected states a Vertical axis – average annual expenditure on gaming machines per person in each region Horizontal axis – number of gaming machines per 10 000 adults in each region New South Wales 1 5 0 0 1 4 0 0 1 3 0 0 1 2 0 0 1 1 0 0 1 0 0 0 9 0 0 8 0 0 7 0 0 6 0 0 5 0 0 4 0 0 3 0 0 2 0 0 1 0 0 0 0 100 200 300 400 500 600 700 Queensland 1500 1400 1300 1200 1100 1000 900 800 700 600 500 400 300 200 100 0 0 100 200 300 400 500 600 700 South Australia b 1 5 0 0 1 4 0 0 1 3 0 0 1 2 0 0 1 1 0 0 1 0 0 0 9 0 0 8 0 0 7 0 0 6 0 0 5 0 0 4 0 0 3 0 0 2 0 0 1 0 0 0 0 100 200 300 400 500 600 700 a Data are unavailable to calculate average annual expenditure on gaming machines for Victoria. b Data for the City of Adelaide and Roxby Downs produce two outliers that have been removed from the analysis. Data source: ABS (1996a), DGR (1996b) and QOGR (1998b). I.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
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B Participation in gambling: data t
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Table B.2 Participation in gambling
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Table B.4 Participation in gambling
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product in excess of the price paid
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C.2 Consumer surplus in the gamblin
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from increased consumption resultin
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Figure C.2 Tax and consumer surplus
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Table C.3 Price elasticities of dem
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Figure C.3 Consumer surplus for pro
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Box C.1 continued (e) That part of
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Table C.4 continued Wagering Lotter
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s n = share of gambling expenditure
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Figure C.6 Demand for gambling by p
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• the triangular area ’g’ whi
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The Commission’s treatment falls
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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
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Being aware of the need to minimise
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NATIONAL GAMBLING SURVEY F.31
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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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Page 141 and 142: of problem gambling (eg how many ch
Page 143 and 144: CLIENT SURVEY G.9
Page 161 and 162: Problem gamblers may subsequently b
Page 163 and 164: For a subset of 856 clients in 1996
Page 165 and 166: Table H.3 Variable Logistic estimat
Page 167 and 168: Prison, South Australia’s main re
Page 169 and 170: • “Has your gambling ever led y
Page 171 and 172: elicit information on vocational, f
Page 173 and 174: This finding is consistent with the
Page 175 and 176: H.5 What crimes do problem gamblers
Page 177 and 178: Other more violent crimes such as b
Page 179 and 180: But as noted above, police statisti
Page 181 and 182: H.8 Problem gambling and loan shark
Page 183 and 184: epayments were required — but mos
Page 185 and 186: State Gaming Authorities data The s
Page 187 and 188: Table I.2 Unweighted estimation Med
Page 189: machines. There is no statistically
Page 193 and 194: Weighted results The Commission’s
Page 195 and 196: Table I.7 Summary of Victorian metr
Page 197 and 198: Table I.9 Summary of Queensland reg
Page 199 and 200: it is likely to represent the more
Page 201 and 202: Table J.1 presents the information
Page 203 and 204: suffer from some of the adverse con
Page 205 and 206: • costs of gambling counselling s
Page 207 and 208: To the extent that borrowed money i
Page 209 and 210: This fee is only taken in estates w
Page 211 and 212: • for a higher estimate, the numb
Page 213 and 214: The Commission has assumed that the
Page 215 and 216: • to estimate the income lost ove
Page 217 and 218: the Commission has used this estima
Page 219 and 220: • 336 people receiving a jail sen
Page 221 and 222: states offer up to $50 000 each for
Page 223 and 224: As indicated in table J.6, where pr
Page 225 and 226: seen as part of the informal contra
Page 227 and 228: Almost all divorce cases are uncont
Page 229 and 230: of their gambling during the period
Page 231 and 232: Suicide ideation The Commission’s
Page 233 and 234: Table J.10 continued People a Per p
Page 235 and 236: Table J.12 Value of annual transfer
Page 237 and 238: 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
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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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