Australia's Gambling Industries - Productivity Commission

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T.4 Regional studies Nichols et al (1999) examined divorce rates in a group of eight casino communities in the US compared to five matching control non-casino communities. They found no evidence that divorce rates were higher in casino communities than non-casino communities. However, models of aggregate divorce rates tend to explain relatively little of the variation of divorce (across regions or time 8 ) because so many idiosyncratic hardto-observe factors are at work. As noted by McAllister (1999, p. 2): Aggregate statistics and quantitative surveys are poor instruments for measuring the process of marital breakdown and the changes accompanying different stages of it To illustrate this, suppose that the recent rapid growth in gambling in Australia had roughly doubled the number of problem gamblers who are in marriages in the last decade. Assuming a fixed risk of divorce of 1.7 times that of other marriages (as in the previous sub-section), this implies that there would have been about an additional 1 500 divorces in 1998 compared to a counterfactual of a static gambling environment. But 1 500 divorces is only 2.9 per cent of divorces in 1998, and in this case would represent a gradual increase in divorces due to gambling of 0.29 per cent per annum over the decade. Picking that up in an econometric method is probably beyond the capacity of the data — an issue that it discussed more generally in chapter 7. T.5 Summary Anecdote and data on problem gamblers (whether from general populations or help groups) leave little doubt that problem gambling is instrumental in the breakdown of some marriages and relationships. But measuring the aggregate number of gambling-related Australian divorces with precision and separating gambling problems from other factors that may be present is difficult. Using methods that have some capacity to uncover the contribution of problem gambling suggests that problem gambling is connected with something between 1 600 and 4 000 divorces a year (and therefore around double this number of annual divorces and separations). In its analysis of the costs of problem gambling, the Commission has taken the least of these numbers — or around 1 600 gambling-related divorces per year. 8 If the influence of lagged dependent variables are taken into account. DIVORCE AND SEPARATIONS T.7
Table T.3 Method Various estimates of gambling-related divorces per annum Estimated annual gambling-related divorces Number Annualising the ‘ever’ divorces 2 130 Last year relationship breakdowns that resulted 2 250 in divorce or separations. The Relationships Australia data 1 600 Using the NORC logistic odds 4 000 Using the Commission logistic odds 2 900 Source: Commission estimates. T.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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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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Page 333 and 334: Table Q.2 Employment status of prob
Page 335 and 336: Table Q.3 continued Study Average a
Page 337 and 338: Relationship status The greater inv
Page 339 and 340: Table Q.6 Gender of problem gambler
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: T.3 The logistic approach The NORC
Page 381 and 382: such as France and the US (Casino I
Page 383 and 384: Table U.2 An example of an outcome
Page 385 and 386: intensity on the 85.15 per cent Cas
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Page 393 and 394: U.6 The gambler’s fallacy Gambler
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Page 397 and 398: V Use of the SOGS in Australian gam
Page 399 and 400: Differences in question wording and
Page 401 and 402: 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
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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,
Page 437 and 438:
—— 1997, Gambling and Problem G
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Australia's Gambling Industries - Productivity Commission

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