Australia's Gambling Industries - Productivity Commission

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Table Q.5 continued Study Eckhardt (1998) Relationships Australia (SA) (sub. 118) Gerstein et al. (1999) Lorenz, Politzer and Yaffee (1990) Percentage who are married 37.5% are married; and 19.2% defacto 44% in a relationship Other aspects of relationships Lower than population Married people had a slightly lower risk of being a ‘pathological’ gambler; Divorced/separated had a 150% higher risk 60% This is much higher than the general population. Volberg (1997) 42.2% married 57.7% of non-problem respondents were married National Council 52% cf 63% of non-problem of Welfare (1996) respondents Nature of group Clients of problem gambling counselling services Clients of problem gambling counselling services General population Members of Maryland Gamblers Anonymous General population Location and time period Tasmania 1997–98 SA US 1998 Maryland, US, 1989 Oregon, US 1997 Alberta Canada Source: See column 1 for sources. Gender Divergent results are obtained on the gender of problem gamblers. In the 1996 survey for South Australia, Delfabbro (1998, p. 179) found that problem gambling prevalence is no greater in males than females in the South Australian population. Ohtsuka, Bruton DeLuca and Borg (1997) found no significant difference in the proportion of problem gambling amongst male and female gaming machine players in Victorian venues. Jackson et al. (1997, p. 3) found that in Victoria in 1996-97 there were slightly more men (54 per cent of clients) than women who sought help from counselling agencies. However, the situation was reversed in the following year — in 1997-98, 54 per cent of new clients attending Victorian Break Even problem gambling counselling services were women. Dickerson, Baxter et al. (1995, pp. 92–96) analysed the clients of Queensland Break Even services. They found most clients were men, but the evaluation period was early in the process of gaming machine liberalisation, which has brought many more women into gambling problems. WHO ARE THE PROBLEM GAMBLERS? Q.9
Table Q.6 Gender of problem gamblers Study Percentage of problem gamblers who are male Other aspects Nature of group Location and time period Jackson et al. (1997) Jackson et al. (1999b) 54% Clients of Break Even services 46% Women are Clients of Break slightly Even services overrepresented relative to general population Walker (1998a) 65% Clients of problem gambling counselling services Abbott and Volberg (1991) Committee on Problem <strong>Gambling</strong> Management New Zealand (1997) Problem <strong>Gambling</strong> Committee (1998) Dickerson, Baron, Hong and Cottrell (1996) Ohtsuka, Bruton DeLuca and Borg (1997) Elliot Stanford and Associates (1998) Stinchfield and Winters (1996) 80% One in ten men had had a gambling problem at some time. 74% But only 14% of significant others asking for help are male 67% Most problem gamblers who attend are male, but most family members who attend are female. General population Clients of problem gambling counselling services Clients of problem gambling counselling services 86% General population (but criterion for problem gambler is a gambler scoring SOGS 10+ 48% for EGMs Based on a smallscale survey of patrons of clubs and hotels 50.6% 39.6 per cent of non-gamblers approaching help services were male Clients of problem gambling counselling services 61% male In treatment programs Victoria, 1996-97 Victoria, 1997-98 NSW, August- September 1998 New Zealand 1991 New Zealand 1997 New Zealand, 1998 Sydney, Melbourne, Adelaide and Brisbane, Australia 1991 Melbourne 1997 South Australia November 1996 to May 1998 Minnesota US 1992-1996 continued Q.10 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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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
Page 287 and 288: N.1 Characteristics of machines of
Page 289 and 290: Table N.1 Australia, Japan, United
Page 291 and 292: Table N.2 Australia, Indiana, Conne
Page 293 and 294: The following discussion of gaming
Page 295 and 296: Canada Broadly speaking, Canada has
Page 297 and 298: Figure N.4 Japanese pachislo machin
Page 299 and 300: Winnings Progressive jackpots are p
Page 301 and 302: Bets and losses Bets and losses on
Page 303 and 304: In Japan, the minimum amount requir
Page 305 and 306: N.2 Market segments As with many ot
Page 307 and 308: Box N.4 Comments on market segments
Page 309 and 310: O Displacement of illegal gambling?
Page 311 and 312: survive together because they cater
Page 313 and 314: P Spending by problem gamblers The
Page 315 and 316: Table P.1 Outlays, player losses an
Page 317 and 318: Table P.3 Concentration of outlays
Page 319 and 320: Figure P.2 Distribution of outlay b
Page 321 and 322: Table P.4 Expenditure shares of pro
Page 323 and 324: is adjusted for biases in its estim
Page 325 and 326: ACIL (sub. D233. p. 48) claimed tha
Page 327 and 328: P.5 Estimating the expenditure shar
Page 329 and 330: expenditures shares are shown in ta
Page 331 and 332: of counselling agencies is necessar
Page 333 and 334: Table Q.2 Employment status of prob
Page 335 and 336: Table Q.3 continued Study Average a
Page 337: Relationship status The greater inv
Page 341 and 342: The pattern of an increased feminis
Page 343 and 344: R Bankruptcy and gambling This appe
Page 345 and 346: Table R.2 Age profile of bankrupts,
Page 347 and 348: Table R.5 New bankruptcies per mill
Page 349 and 350: Figure R.2 continued Western Austra
Page 351 and 352: • The penalty has become less sev
Page 353 and 354: S State and territory gambling data
Page 355 and 356: Table S.4 Real government revenue f
Page 357 and 358: Table S.8 Real government revenue,
Page 359 and 360: Table S.12 Real government revenue
Page 373 and 374: Dickerson et al (1998, p. 79) for e
Page 375 and 376: However, the survey used a set of p
Page 377 and 378: T.3 The logistic approach The NORC
Page 379 and 380: Table T.3 Method Various estimates
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Page 383 and 384: Table U.2 An example of an outcome
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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
Page 419 and 420:
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
Page 433 and 434:
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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