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No. 3 - Department of Treasury - The Western Australian Government

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<strong>Western</strong> <strong>Australian</strong> Economic Summary2006 <strong>No</strong>.3This distinction becomes difficult for a piece <strong>of</strong> infrastructure (e.g. a waterpipeline) that could potentially service both social interests and achieveeconomic development objectives. <strong>The</strong>re may be scope for a combinedapproach, but the costs and benefits from each approach may not becomparable for purposes <strong>of</strong> analysis. This is a key area <strong>of</strong> future research.Modelling IssuesJustify a Market FailureMany past proposals to the <strong>Western</strong> <strong>Australian</strong> <strong>Government</strong> for projectassistance supported by CGE analyses have stated that a project will“increase Gross State Product by $XX million a year” or “add $YY million ayear to economic activity”.However, before generating any figures from a model, the modeller mustask why they need to add this project to the economy, rather than itoccurring with no government interference. That is, why is it not in ourmodelling ‘base case’?Some form <strong>of</strong> market failure must be demonstrated before a project ismodelled in the context <strong>of</strong> an assistance proposal. <strong>Government</strong> support for aproject cannot increase economic welfare unless there is some form <strong>of</strong>market failure that causes the project not to proceed. Unless market failurecan be found, the failure <strong>of</strong> a particular project to locate in <strong>Western</strong> Australiais a case <strong>of</strong> market reality, and government intervention cannot reverse thiswithout a subsidy so large that it will reduce economic welfare.<strong>The</strong> identification <strong>of</strong> market failure is probably the single biggestimprovement that could be generally applied across the CGE analyses thathave supported project assistance requests presented to the<strong>Western</strong> <strong>Australian</strong> <strong>Government</strong> over the past few years.Justify the Assumptions Used<strong>The</strong>se rival assumptions are not right or wrong, but they illustrate how farthe results <strong>of</strong> CGE models flow from the presuppositions <strong>of</strong> their authors.Most empirical exercises confront theory with numbers—they test theoriesagainst the data; sometimes they even reject them. CGE models, by contrast,put numbers to theory. If the modeller believes that trade raises productivityand growth, for example, then the model's results will mechanically confirmthis. <strong>The</strong>y cannot do otherwise. In another context, Robert Solow, a <strong>No</strong>belprize-winner, has noted the tendency <strong>of</strong> economists to congratulatethemselves for retrieving juicy plums that they themselves planted in thepudding.<strong>The</strong> Economist, 2006, p. 61<strong>The</strong> above comment by <strong>The</strong> Economist magazine exposes a common fallacy inCGE modelling – that the act <strong>of</strong> modelling itself justifies the assumptionsused in the model. Too <strong>of</strong>ten CGE modelling results are presented withoutdiscussion <strong>of</strong> the critical assumptions that drive the results – policy makersare expected to believe that a project is worthwhile just because a CGEmodel says so. This treats a CGE model as an all-knowing ‘black box’.78 <strong>Department</strong> <strong>of</strong> <strong>Treasury</strong> and Finance

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